Insightly

insightly

Startups of The Year 2023 Winners: North America 

With cryptocurrency becoming increasingly popular, small and large companies have started accepting various forms of crypto as payment. Currently, Bitcoin is the most popular cryptocurrency and is of small-to-medium-sized businesses. accepted by around 36% According to new data, say they’d like to pay for everything with cryptocurrency. That might become a reality sooner than later. As of 2021, an overwhelming number of businesses accept cryptocurrency, including: 46 million consumers GameStop Gap JC Penney Dish Network AMC Quiznos 4Chan The Internet Archive Pizza Hut Twitch Subway Burger King KFC AT&T Microsoft Wikipedia And more For most consumers, using crypto is about remaining anonymous. For others, it’s an investment. For a handful, it’s both. Chances are, some of your customers would love the chance to pay for your goods or services with Bitcoin or another popular cryptocurrency. However, accepting crypto can complicate things if you’re not well organized. If you , you’re going to need the following organizational tools. choose to accept crypto 1. Financial Organization Financial organization is the foundation for every kind of success you could achieve. To start accepting crypto, you need to have your standard finances in order. Accepting crypto while you’re already disorganized will only add to the chaos. To stay organized, many businesses use platforms that automate workflows and keep teams connected. For years, Salesforce has been a leader in the industry and has an extended number of CRM services with a product called . FinancialForce FinancialForce unifies data across your entire enterprise, giving you visibility into all of your systems – most importantly, your sales and finances. Other CRM solutions you can use include HubSpot Sales, Pipedrive, and Insightly. All of these options will provide the visibility you need to stay organized. If you’re going to start accepting crypto, you’ll need as much visibility as you can get. 2. Financial Tracking Software Built for Crypto It’s one thing to know you must pay capital gains taxes on any crypto you hold in your business bank account, but tracking your crypto gains requires special software. It’s not easy to track your gains manually. There are plenty of you can get, which include Pionex, Kubera, Sharesight, Delta, and more. Research each one before committing to a tracker to make sure it meets all of your needs. crypto portfolio trackers 3. An Automatic Value Converter One of the biggest problems with accepting crypto is the . If you manually set your prices in Bitcoin today, you might lose money on your sales tomorrow or even the following week. value fluctuation You can stay ahead of the game by using software that automatically converts your crypto prices on your website to reflect a set dollar value. For example, you can set the price of an item as $100 USD, and the application will change the displayed Bitcoin price as the value of Bitcoin fluctuates. Check with your shopping cart application to see if there’s a plugin you can use to keep crypto prices current on your website. This is the only way to ensure you always get the correct value for your goods and services. 4. Immediate Digital Conversion After Sale The longer you hold onto any cryptocurrency, . To avoid increasing your tax bill, you need to convert your crypto as quickly as possible. The ideal solution is to convert crypto to currency immediately after receiving a payment. This way, your tax liability will be more predictable. the more taxes you’re likely to owe Most people use Coinbase Exchange to convert Bitcoin into dollars. However, be prepared to pay a small fee no matter what application you use. You can expect to pay between 1.49% to 2% per transaction. To avoid paying unnecessary fees, you might want to convert and transfer your funds once per week rather than every day. 5. An Accountant Who Knows Investments Since , you need an accountant who understands investments. You’ll need to pay capital gains taxes on every bit of crypto you receive. If your crypto gains value while you’re holding it, you’ll owe for gains. cryptocurrency is considered an investment While crypto is somewhat anonymous, you can’t escape paying taxes when you’re accepting crypto payments in exchange for goods and services. The fact that you’re accepting payments makes your transactions no longer anonymous. Besides, it’s never a good idea to avoid paying taxes because you can get hit with penalties and jail time for tax evasion. Accepting Cryptocurrency is a Wise Move The future of payments is certainly digital. Although many people argue over how long Bitcoin and other cryptos will hold up, it’s hard to see crypto disappearing for good. As long as crypto exists, people will want to use it to pay for goods and services. If you don’t accept crypto, you’re leaving money on the table. However, once you start accepting crypto, make sure your business stays financially organized to remain in compliance with various . crypto regulations

5 Essential Tools to Start Accepting Crypto Payments

Your organization’s growth is often tied to the tools that you choose to implement your business plan. Given that it’s such a crucial part of success, these tools have become a divisive topic. At the core of this conversation are both CRM and ERP software platforms. Both of these pieces of software are perhaps the most critical assets that will determine the growth and success of your business. Both types of software increase profits but do it in different ways. They drive growth, integrate with multiple departments, and ultimately set the tone for your organization’s processes and workflows. As the world becomes more digitized, these tools have only improved their functionality and solidified their place as part of every successful company. Customer relationship management (CRM) and enterprise resource planning (ERP) often serve as the most important part of an organization’s toolbox. Selecting, integrating, and managing this software is a time-consuming process, so businesses try hard to select not only the right platform for the present, but also for the future. Deciding to implement either an ERP or CRM is a complex one, driven by an organization’s goals and the overall marketplace they find themselves in. What is Enterprise Resource Planning? ERP systems are used to manage almost every aspect of a business. This includes things like inventory management, accounting, payroll, and more. It’s an all-encompassing platform that simplifies workflows for large organizations that want to limit complexity. What are the benefits of enterprise resource planning? By implementing an ERP, businesses avoid a glut of third-party vendors that introduce a high barrier to entry for new employees to understand business processes. These one-stop shops are often less detailed in any one area than these vendors, but there is value in keeping everything in a single ecosystem. According to , businesses implement an ERP system so they can enhance business performance. The same report cites that the software improves customer satisfaction and reduces time spent on various processes. Workflow improvements are reported almost across the board among businesses that choose to implement an ERP. And for large companies, that can lead to substantial revenue improvement. Panorama Consulting Solutions Here are just some of the things that ERP tools are capable of: Tracking financial and accounting dataMonitor employee timesheets and life cycleManaging transparent supply chainsStoring knowledge base for products and servicesSimplify business statistics to aid in decision makingWhat is the scope of ERP tools? ERP tools are capable of guiding a project from conception to completion. This greatly benefits enterprise-size organizations since the uniformity of project management and inter-department communication cuts down on confusion and maintains high levels of transparency. In terms of data storage and organization, ERP is also incredibly robust. The software manages almost all data generated by an organization, regardless of source. This allows executives and managers to see an all-encompassing view of the business quickly, which helps large organizations stay nimble. The data that ERP provides helps organizations avoid operational issues by looking at the numbers quickly and adjusting from there. In this way, it modifies the scope of decision making that businesses are able to do on a daily basis. An example of this is managing inventory, which can be a cumbersome process that ERP mitigates. What are the limitations of ERP? The main limitation of most ERP’s comes from their broad scope that makes it so valuable. By attempting to provide vast amounts of information and work for multiple teams within an organization, ERP software can struggle to be user friendly and flexible. Business organizations are incredibly complex and unique, so ERP software may struggle to fully encapsulate every business. Cost is also a limitation for many businesses when considering an ERP. It can be viewed as a luxury by small or mid-sized companies that would prefer to use smaller vendors that bring a lower cost commitment. Many of these ERP software companies also require lengthy contracts, and the cost of adoption can be high. Integrating ERP into your business can slow down other aspects of your business while you try to get online. ERP software also only focuses on back-end parts of your business. In terms of customer-facing operations, ERP software is not something that is really used. Industries like manufacturing may not have much need for customer-facing operations, but this can vary by your organization. What are some examples of popular ERP platforms? A lot of ERP software decisions come down to the ecosystem that matches your particular industry and goals. There are both boutique and large-scale options for businesses, and this is valuable because the nature of an ERP can be very different depending on your business. According to Computer Weekly, , making it a growing business, even if it’s not as popular as the CRM industry. over half of all businesses consider implementing an ERP That being said, here are a few of the more popular ERP software platforms that can serve as examples: SAP Business One Oracle NetSuite Microsoft Dynamics 365 What is Customer Relationship Management? Where an ERP focuses on the company’s processes, a CRM focuses on its customers. Everything from sales to marketing and more is contained within a CRM as organizations try to manage the customer-facing parts of their business. Many CRM’s also include a portion of customer support processes. What are the benefits of CRM software? The true value of a CRM is how it lets you track and customize the customer journey from start to finish. As long as your organization has customers, CRM’s provide you with the potential to reach those customers, learn about them, and tailor your communications to convert them. According to BuyerZone, , and that adoption is only going to increase moving forward. 91% of companies with more than 11 employees use CRM software Most CRM’s track valuable information about your customers so that you can make informed decisions when communicating with them. Things like purchase history, conversation history, contact information, and more make up customer profiles. When combined with high-level marketing analytics, you can learn valuable lessons about your customers as you interact with them. Customer relationship management software is capable of many features, but here are a few examples: Track profiles of existing customers and potential leadsFollow prospects as they go through a sales pipelineStore references to marketing effortsAnalyze sales data to allow for teams to optimize strategyAid sales and marketing teams with prioritizing leads Sales teams also benefit greatly from integrating with a CRM. According to , companies that use CRM have improved sales by 29%. Meeting quotas is easier and faster when data is centralized, and communication with prospects is collected in one place. Salesforce Beyond the goal of gaining new customers, CRM also improves customer retention. Capterra has stated that using CRM . By continuing to learn about customers, CRM’s provide value by keeping customers engaged and interacting with your business. increases average retention and satisfaction rates by 47% What is the scope of CRM? Converting people to paying customers is the lifeblood of organizations of all sizes. For that reason, most businesses would benefit from some form of CRM. Small businesses can offer simple communication like coupons and online menus, and larger businesses can share complex networks of blog posts, promotions, and sales demos. The power of your CRM can vary based on your business size, but the value is consistent. Depending on the size of your customer-facing teams, the CRM can be modified in scope. For large teams, CRM can be a complete platform that manages most of the team’s interactions on a daily basis. For example, an email marketing campaign can be managed from start to finish, including design, audience selection, and performance analytics. Smaller teams may look towards a CRM to simply provide high-level analytics and data storage. This more nimble version of a CRM can work well for small businesses that just need help gaining insights on the limited amount of sales and marketing they are undertaking. What are the limitations of CRM? CRM’s can be limited in scope because the software only affects customer-facing departments. An ERP provides a wide range of information about the full aspect of your business, whereas the CRM is more limited. In some cases, the bulk of your business will not benefit directly from using a robust CRM, even if the overall business definitely benefits from it. These tools are also limited by your business ability to collect leads. The true power of CRM comes when your top-of-funnel actions are operating efficiently. This ensures that your business is continually running users through the customer journey that can be automated and customized by a CRM. Unfortunately, a CRM is limited in helping you accomplish this, despite its focus on customer communication. Many organizations have also struggled to fully adopt CRM software. Since customer-facing tasks have been conducted long before the invention of CRM, there are some sales and marketing employees that have trouble working what they do into a standardized CRM process. Sending a customer a quick email is not really something that needs to be tracked, even if CRM would optimize that process and allow a business to make better decisions if it were tracked. This thought process can dampen the potential of CRM software. Examples of top CRM platforms According to Grand View Research, CRM software has become the . Most CRM platforms are made up of similar components, but the features can vary greatly based on which one you choose. There are platforms that are more bespoke that focus on individual verticals, and large-scale tools that aim to provide all the features an organization could ask for. It’s this level of customization that’s led to the booming CRM software industry. largest software market in the world These are some of the more recognizable CRM platforms that provide a complete example of what the tool is capable of: Salesforce Hubspot Insightly Should I use ERP or CRM? Before answering this question, it’s important to realize that these two pieces of software provide different benefits for your organization. While your business may need one tool more than the other, it should not be considered an easy decision. It should really come down to what situation your company is in. There are a number of factors that determine whether a CRM or an ERP is a good fit for your organization. Here are just some of the questions you may want to ask yourself when making the decision: How large is my business, and how much do I expect it to grow?Am I more concerned with growing my business or optimizing my business?Is there a large number of competitors in my business’ industry?How much inter-departmental collaboration exists in my business?Am I more interested in providing products or services?Businesses that benefit more from CRM In general, smaller businesses will find it more beneficial to focus on their customer base, and therefore a CRM would better assist growth. Small businesses that find themselves limited by cost, and on that basis, an ERP may prove too costly. While small businesses benefit from CRM, large businesses also see massive benefits in implementing the software. In fact, the data collected by CRM software is even more useful when your organization has a large database of customers and leads. The truth is, any business looking to improve growth, retention, and customer satisfaction would ideally be utilizing CRM tools to accomplish those goals. , companies that invest in a CRM average an $8.71 return on investment for every dollar spent. This incredible ROI serves as a strong reminder of the value of technology in all organizations. According to Nucleus Research Which businesses benefit more from ERP? Businesses that have already reached a strong level of growth may look to an ERP to help them optimize their organization. An ERP is a valuable tool for simplifying processes, limiting excess software, managing inventory, and improving communication. This allows an organization to increase margins on its current customers and improve retention. Manufacturers are the top users of ERP systems, . The complexity of this industry is well-served to this form of software. Business leaders need to understand the pipeline of their products from conception to payment and everywhere in-between to make informed decisions. ERP software was designed with this in mind. according to Aberdeen Group The concerns of most manufacturers that choose to partner with ERP software indeed affect all types of industries. However, the software works best in situations where you need to track processes with large amounts of data. That’s why, as businesses grow, they tend to look towards ERP tools as a way to stay optimized. That being said, if your organization is large enough to find an ERP worthwhile, you have to ask the question about the value of also utilizing a CRM. In fact, it’s becoming rarer for a company to have an ERP without having a CRM. When would you want both ERP and CRM? It’s not necessary to limit yourself to one of these options. In fact, the top organizations in the world often utilize both ERP’s and CRM’s to achieve their goals. To return to the primary method for both tools, growth, and optimization, it’s clear that many businesses would like to improve both of those metrics. The key to choosing simply comes down to the scale of data and information your company needs to succeed. The more data you have and the more data you need to process directly translates to your need for these tools. Once an organization decides to implement both of these tools, the next step is to decide on integration. In many ways, these tools are not compatible with each other. Due to the size of both ERP’s and CRM’s, they don’t necessarily play nice with one another. There are exciting benefits to implementing both platforms in an integrated way. In the simplest sense, customer-facing teams have a wealth of knowledge at their disposal if they are integrated with an ERP. Things like inventory, timelines, pricing, and more can be easily tied into marketing efforts. The data available on both tools can benefit work done in the other. Organizations will need to heavily research compatibility if they choose to integrate these tools. Some software will never be compatible, and the engineering costs of forcing the integration can be costly. In closing, the differences between ERP and CRM are distinct and play a large role in the trajectory of your business. The wrong choice can even stunt growth and add unnecessary complexity that slows your organization down. Business leaders will need to consider every detail about these platforms as it fits with their goals. Previously published at https://jelvix.com/blog/erp-vs-crm-difference

ERP vs. CRM: Which Would Most Benefit Your Business?

Whenever the company decides to make a mobile application, the most important they are looking for efficient ways to implement the idea. For most of the start-ups, the resources are limited and the time window is shorter. They want to reach more people in a shorter period of time, and without having to spend tons to get experienced Android/iOS developers (which tend to be very expensive), when they are just starting out. A approach is tempting. By building a hybrid app, you’re able to reach more people, as you can have a web client, an Android client, and an iOS client, all with the same codebase, plus same code for Native integration as it is cost-effective and faster. hybrid “Hybrid apps are gathering popularity as they are cross-platform apps. Developers don’t need to code separately for a specific mobile platform. So, it takes less time to develop app and the business companies prefer hybrid app developer for hybrid app development.” Advantage of choosing Hybrid App There are many positive features of hybrid app development. Here is a listing of some advantages of building hybrid apps: Hybrid apps are platform-independent and reduce development time because a single code base works on different platforms like iOS, Android, and Windows.The development cost of hybrid mobile apps is lower than native or web mobile apps, the hybrid mobile app developers can fasten the development process with a set of huge libraries and development frameworks, it saves time and money to market the products. Hybrid apps offer offline support for applications which is frequently used by the user. Offline support keeps the users connected to some of their apps features even when they have poor connection or lose network connection. Therefore, these apps are more reliable and business can reach out to users even when there is poor connectivity. Hybrid App Development is based on a concept ‘write once, run everywhere’. Therefore, to improve your business on multiple platforms in a cost-effective way, there is no other alternative to cross-platform apps. Here is the list of the most used and popular Hybrid Mobile App Frameworks using which you can create the hybrid mobile application that suits your business requirements without any hassles: React Native React Native is one of the best hybrid apps. It is an open-source JavaScript framework for mobile app development instituted by social media king Facebook. With over 81,253 stars on , it is a very popular hybrid app. On Google Trends, it is on top while comparing famous hybrid apps. GitHub Image Source: https://trends.google.com/trends/explore?cat=31&q=react%20native,flutter,%2Fg%2F1q6l_n0n0,xamarin,%2Fm%2F06znsr5 One of the main purposes of this framework is to develop native applications over hybrid applications that run on a web-view. The coding for your applications will still be done via React and JavaScript and one of the features of it is that it is not very customized for the beginners but its active community can help you resolve issues (if there are any) at the quickest and the earliest. React Native provides you Hot Reloading Feature. By this, you can see the changes made in the code, instantly. It is like a live preview. This feature makes it very easy in the designing of the apps. Read Also: React Native is the future of Mobile Development Flutter Flutter is an open-source hybrid mobile application development framework instituted by Google. With over 75,815 stars on , it’s popularity is increasing rapidly and the community at large is trying to find out the best techniques. Flutter apps are created by using Language. It has a key feature of gesture recognition. GitHub Dart First version was known as codename “Sky” and ran on the Android Operating System. It is Google’s UI toolkit for building beautiful, natively compiled applications for hybrid app development. Its amazing of widgets, expressive beautiful UIs, and developers are falling in love with Flutter! standard library fast compile times, amazing documentation, Famous apps like Alibaba.com, Tencent, Hamilton, Google have been built in Flutter. Ionic With over 39,067 stars on , is the open-source hybrid mobile app development framework that makes it easy to build top quality native and progressive web apps with web technologies. GitHub Ionic is built on Cordova and AngularJS. Cross-platform apps created in the Ionic are small web apps that are running on a browser shell in an app that has access to the native platform layer. It is based on Web Components and comes with many significant performance, usability, and feature improvements over the past versions. This platform is most popular among the AngularJS developers for creating mobile applications. Many famous apps are built with Ionic, like MarketWatch, SworKit, Joule, Diesel, etc. Xamarin With over 3717 stars on , it is based on .NET Framework. Software Giant Microsoft which is based in San Francisco introduced Xamarin. Xamarin is an open-source hybrid application and has a strong community of over 60,000 contributors from more than 3,700 companies. GitHub Developers who are skilled in C# language will be easily able to develop apps in Android, iOS, tvOS, watchOS, macOS, and Windows using Xamarin. Many famous apps like Storyo: Video Story Creator Just Giving: Online Fundraising Platform Olo: Online Food Ordering Platform FreshDirect: Online Food Grocery Insightly: CRM and Project Management Apache Cordova With over 131 stars on , Apache Cordova is a hybrid mobile application development framework originally created by . Later Adobe Systems acquired Nitobi and rebranded it as a PhoneGap and released an open-source version called Apache Cordova. GitHub Nitobi Apache Cordova applications uses HTML5, CSS3, JavaScript for cross-platform development. Generally, web applications are not able to access some of the core features like accelerometer, GPS or Camera, but in Cordova, you can. Paylution, The DHS Program, Wikipedia and many more apps are built with Apache Cordova. Wrap Up There are pros and cons of all the platforms, but looking at a current scenario, Flutter is a fast-growing hybrid application framework and giving competition to React Native. As Flutter is powered by Google and React Native is powered by Facebook. Both frameworks belong to giant companies. Both frameworks will save you a lot of money and time in development and give you apps for both Android and iOS which will give a high performance and experience to the end-users. Based on my experience and research; I have come to the conclusion that we can leave the decision to the developers to select the best hybrid app framework for 2020. Both are superior in terms, of UI, native experience, size and performance of the hybrid app development. These are best suited for your next cross-platform mobile application development.

Top Five Frameworks For Hybrid App Development

This summer I had the pleasure of interning at USV this summer to support the . Network Team Through my community management work in Slack as well as in attending USV events, I noticed that one of the most common questions that comes up in the network is what are used by other companies. network tools To embark on this research project, we gathered over 450 software tools used across 64 companies, representing approximately 86% of our active portfolio. We began by tagging each tool based on department, the type of tool, and then explored how company size impacted usage. Below are some observations and trends that we discovered. Types of Tools Reported As you can see below, developer tools ranked #1 among the categories of reported tools for this project, with 164 total tools reported. We also saw large numbers of tools used for communication, business intelligence, and design Most Popular Tools The top reported tools were G Suite, Slack, GitHub, Jira, Sketch, Salesforce, DropBox, AWS, Excel, and InVision. These top tools (in particular G Suite, Slack, and GitHub) were used across multiple departments or tended to skew toward developer tools. Developer Tools in the Network The chart below show the most popular developer tools overall in the network. After Github and Jira, there was a drop off which may be because there are many free/open source options, causing individuals and companies to explore and favor different ones. Size Breakouts Company size creates a stratification among developer, hiring, and communication tools. As an example of how this plays out in engineering, you can see that all of the size brackets use either Github or Jira, but after that, the differentiation develops. For example, smaller companies are less likely to use security software. On the communication side, smaller companies are more likely to use internal tools like Calendly, GoToMeeting, and Rocketchat, whereas external tools including Docusign, Facebook, Medium, Sendgrid, and Twitter persisted across all size brackets. As for hiring tools, LinkedIn, Lever, and Greenhouse are the most popular in the network, but these are primarily only used by companies with more than 30 employees. Tools like Guru, Textio, DiscoverOrg, and Checkr were used with companies larger than 50 employees, while Jobbatical, Entelo, Jazz, and AngelList were used by our smaller companies. Market Dominant Tools by Category While AWS still appears to be the favored cloud platform used among our portfolio, Google Cloud in particular appears to be gaining more traction. As you can see below, ¼ of companies are using either Google Cloud or Microsoft Azure. Other tools with dominant market share include Slack and Salesforce. While 92% of our companies report using Slack, some companies opted to use Hipchat (recently acquired by Slack), Beekeeper, and Rocket Chat. For sales management CRMs, 42% of our companies use Salesforce, however, some used alternatives like Google Streak, Insightly, or Close.io. It does not seem as though size played a role in a company’s choice in any of these circumstances. Closing Thoughts One of the most fun parts about working on this project was learning about new tools used in the network. In fact, 52% of the tools reported were used exclusively by one company in our portfolio, which exposed a few new tools like and (both workflow management tools) as well as (an HR platform built for G Suite). It was also great to see how 78% of our portfolio companies use tools built by our portfolio companies (including and , .) Jell Perdoo Sapling Code Climate Cloudflare among others While the average company in our portfolio is using 7 tools, one of our larger companies reported using 77 different tools, which made me realize that transitioning between tools may be a source of growing pains for startups. As our portfolio continues to expand, we hope that by aggregating and sharing this list internally (we’re even building a Slack Bot for our network to search these tools), we can make it easier to choose the best tool for each use case.

Top Tools Being Used in the Union Square Ventures Network

IMF Warns: CBDCs Could Enable State Surveillance Through Personal Data and Behavioral Insights

IMF সতর্ক করে: CBDCs ব্যক্তিগত ডেটা এবং আচরণগত অন্তর্দৃষ্টির মাধ্যমে রাষ্ট্রীয় নজরদারি সক্ষম করতে পারে

IWF warnt: CBDCs könnten staatliche Überwachung durch persönliche Daten und Verhaltenseinblicke ermöglichen

El FMI advierte: las CBDC podrían permitir la vigilancia estatal a través de datos personales y conocimientos sobre el comportamiento

Le FMI met en garde : les CBDC pourraient permettre la surveillance de l'État grâce aux données personnelles et aux informations comportementales

आईएमएफ ने चेतावनी दी: सीबीडीसी व्यक्तिगत डेटा और व्यवहार संबंधी अंतर्दृष्टि के माध्यम से राज्य निगरानी को सक्षम कर सकते हैं

IMFが警告：CBDCは個人データと行動分析を通じて国家監視を可能にする可能性がある

IMF 경고: CBDC는 개인 데이터와 행동 통찰력을 통해 국가 감시를 가능하게 할 수 있음

FMI alerta: CBDCs podem permitir vigilância estatal por meio de dados pessoais e insights comportamentais

МВФ предупреждает: CBDC могут позволить осуществлять государственный надзор с помощью персональных данных и поведенческих анализов

IMF Uyarıyor: CBDC'ler Kişisel Veriler ve Davranışsal İçgörüler Aracılığıyla Devlet Gözetimine Olanak Tanıyabilir

IMF cảnh báo: CBDC có thể cho phép giám sát nhà nước thông qua dữ liệu cá nhân và hiểu biết về hành vi

国际货币基金组织警告：CBDC 可能通过个人数据和行为洞察实现国家监控

Authors:
(1) Guillaume Staerman, INRIA, CEA, Univ. Paris-Saclay, France;
(2) Marta Campi, CERIAH, Institut de l’Audition, Institut Pasteur, France;
(3) Gareth W. Peters, Department of Statistics & Applied Probability, University of California Santa Barbara, USA. Table of Links Abstract and 1. Introduction 2. Background & Preliminaries 2.1. Functional Isolation Forest 2.2. The Signature Method 3. Signature Isolation Forest Method 4. Numerical Experiments 4.1. Parameters Sensitivity Analysis 4.2. Advantages of (K-)SIF over FIF 4.3. Real-data Anomaly Detection Benchmark 5. Discussion & Conclusion, Impact Statements, and References Appendix A. Additional Information About the Signature B. K-SIF and SIF Algorithms C. Additional Numerical Experiments 2.2. The Signature Method The signature of a path is a sequence of iterated integrals that captures important information about the path’s geometric and topological features (Lyons et al., 2007; Fermanian, 2021). Furthermore, the signature of X is defined as the infinite collection of coordinate signature One may refer to Lee and Oberhauser (2023) for an account of the untruncated kernel signature. See also Section A in the Appendix for further details about the signature and its properties. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Guillaume Staerman, INRIA, CEA, Univ. Paris-Saclay, France; (2) Marta Campi, CERIAH, Institut de l’Audition, Institut Pasteur, France; (3) Gareth W. Peters, Department of Statistics & Applied Probability, University of California Santa Barbara, USA. Authors: Authors: (1) Guillaume Staerman, INRIA, CEA, Univ. Paris-Saclay, France; (2) Marta Campi, CERIAH, Institut de l’Audition, Institut Pasteur, France; (3) Gareth W. Peters, Department of Statistics & Applied Probability, University of California Santa Barbara, USA. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2. Background & Preliminaries 2. Background & Preliminaries 2.1. Functional Isolation Forest 2.1. Functional Isolation Forest 2.2. The Signature Method 2.2. The Signature Method 3. Signature Isolation Forest Method 3. Signature Isolation Forest Method 4. Numerical Experiments 4. Numerical Experiments 4.1. Parameters Sensitivity Analysis 4.1. Parameters Sensitivity Analysis 4.2. Advantages of (K-)SIF over FIF 4.2. Advantages of (K-)SIF over FIF 4.3. Real-data Anomaly Detection Benchmark 4.3. Real-data Anomaly Detection Benchmark 5. Discussion & Conclusion, Impact Statements, and References 5. Discussion & Conclusion, Impact Statements, and References Appendix A. Additional Information About the Signature A. Additional Information About the Signature B. K-SIF and SIF Algorithms B. K-SIF and SIF Algorithms C. Additional Numerical Experiments C. Additional Numerical Experiments 2.2. The Signature Method The signature of a path is a sequence of iterated integrals that captures important information about the path’s geometric and topological features (Lyons et al., 2007; Fermanian, 2021). Furthermore, the signature of X is defined as the infinite collection of coordinate signature Furthermore, the signature of X is defined as the infinite collection of coordinate signature X One may refer to Lee and Oberhauser (2023) for an account of the untruncated kernel signature. See also Section A in the Appendix for further details about the signature and its properties. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Unveiling Path Signatures: A Key to Geometric Insights in Data

Onthulling van padhandtekeninge: 'n Sleutel tot meetkundige insigte in data

Descubriendo las firmas de trayectoria: una clave para obtener información geométrica en los datos

Revelación de sinaturas de camiños: unha clave para coñecer os datos xeométricos

Mengungkap Tanda Jalur: Kunci Wawasan Geometris dalam Data

パスシグネチャの解明: データの幾何学的洞察への鍵

Жол қолтаңбаларын ашу: деректердегі геометриялық түсініктердің кілті

경로 서명 공개: 데이터에서 기하학적 통찰력의 열쇠

Famoahana sonia lalana: lakile ho an'ny fahitana geometrika amin'ny angona

د لارې لاسلیکونه افشا کول: په ډیټا کې د جیومیټریک بصیرت لپاره کلیدي

Kuzarura Nzira Masiginicha: Kiyi yeGeometric Insights muData

Zbulimi i nënshkrimeve të rrugës: Një çelës për njohuritë gjeometrike në të dhëna

راستے کے دستخطوں کی نقاب کشائی: ڈیٹا میں جیومیٹرک بصیرت کی کلید

Businesses are racing toward smarter operations through AI, automation, and digital transformation. The challenge doesn’t just lie in the adoption of new tech, however, but in doing so at scale. Mahesh Chayel, a Product Management Leader at Meta, has spent his career bridging complex technologies with tangible business outcomes. With over 12 years of experience leading AI-based products across global giants like TripAdvisor, Oracle, and NEC Asia Pacific, Mahesh’s philosophy on innovation and leadership is rooted in continuous learning, transparency, and mentorship. A Versatile Start in Product Leadership Mahesh’s start in product management wasn’t planned. He began his career as a software engineer at Oracle, where he explored diverse roles, including product marketing, analytics, and investment banking. His pivotal moment came through a mentor’s advice: find what you love, and success will follow. For Mahesh, product management proved to be the ideal fusion of creativity, impact, and strategic thinking—there was something special about creating something that he knows can easily impact people’s daily lives and make a real positive change. A top-ranked graduate from India’s Institute of Management (IIM) and MIT Sloan School of Management, Mahesh excelled in several disciplines. This broad foundation gave him the ability to work seamlessly across industries, a skill that would later prove invaluable in global roles spanning India, Singapore, Japan, and the United States. Innovation with AI at Meta and Beyond At Meta, Mahesh plays a key role in the adoption of generative AI and Machine Learning (ML) solutions. He spearheaded the integration of Gen AI into Ads and Monetization—an initiative designed to level the playing field for small enterprises by enabling them to compete with larger companies. These solutions offer small and medium-sized enterprises the same precision in ad targeting as major corporations. Mahesh’s leadership style centers around clarity and trust. “AI isn’t just about efficiency; it’s about making sure people feel in control of the technology they use,” he explains. During his tenure at TripAdvisor, Mahesh introduced ML-driven advertiser bidding, which empowered smaller businesses to optimize their ad spend and boost their return on investment. This fierce commitment to transparency remains a guiding principle in Mahesh’s work at Meta, where establishing trust in AI products is paramount. Challenges in Scaling and Leading in AI Solutions While AI offers transformative potential, scaling these technologies presents unique challenges. Businesses often struggle with aligning AI initiatives across business units, while smaller organizations need low-barrier solutions to unlock automation. Mahesh’s approach to scaling—what he calls a ‘1-to-100’ model—focuses on optimizing proven systems rather than experimenting from scratch. Mahesh emphasizes that AI must change behaviors, not just processes. “Many organizations try to bolt AI onto their workflows without realizing it requires a shift in mindset,” he notes. His experience implementing scalable automation has made him a sought-after speaker at conferences, including the Product Innovation Summit and the MIT India Summit. Mahesh has had to work harder than most to earn recognition in competitive environments. Growing up in a modest middle-class household in India, he initially struggled to find his calling. “People say you need to know what you want early on, but that wasn’t my journey,” he reflects. His experience of excelling across multiple fields—from engineering to marketing—shaped his ability to adapt quickly. These challenges honed his resilience and helped him approach new problems with confidence. This outlook helped Mahesh inspire others to embrace a mindset of growth through exploration. Mentorship in Community Engagement In addition to leading AI initiatives, Mahesh actively mentors aspiring product managers both within Meta and the broader tech community. Whether through LinkedIn or industry events, he imparts practical advice on identifying product-market fit, scaling solutions, and leading complex teams. “Mentorship is about giving sound advice, but it’s also about helping people discover their potential,” he shares. Mahesh has also spoken at prestigious events such as Product-Led Growth and the Singapore International Energy Symposium, covering topics like building scalable ML products and setting new industry standards for AI-enabled enterprises. For Mahesh, knowledge must be shared to drive collective growth. Recognitions and Notable Achievements Mahesh’s expertise has earned him numerous awards, including the Globee Gold Award for thought leadership and the Stevie Gold Award for contributions to product management and marketing. He has also received internal awards such as the ‘Get Shit Done’ award at TripAdvisor for driving significant business growth and the Oracle U-ROC award for his exceptional performance. His professional journey is also marked by academic achievements, including ranking among the top 1,000 of 300,000 candidates in India’s IIM entrance exam and earning a second-place university ranking during his undergraduate studies. Passion as the Driving Force Mahesh’s career is an excellent example of the importance of following one’s passion. His early experiences navigating multiple roles helped him discover what he truly enjoyed. “Once you love what you do, it stops being a job,” he reflects, a philosophy that has driven his professional success. This mindset is something Mahesh actively instills in the people he mentors. He encourages them to explore diverse career paths and pursue continuous learning. His belief that passion fuels excellence has become a cornerstone of his leadership style. A Future Shaped by AI and Automation Mahesh is focused on tackling some of the most complex challenges facing the business world. His vision involves not just deploying AI solutions but also creating scalable frameworks that redefine industry standards. “The future belongs to those who continue evolving,” he says. Mahesh’s ability to adapt and learn positions him at the forefront of the tech world as he shapes the future of AI and automation. He envisions a world where automation enables businesses to operate more efficiently while also enhancing human creativity. Through continuous learning and collaboration with experts, he plans to stay ahead of the curve and keep pushing boundaries. __Mahesh Chayel’__s work shows the transformative potential of AI and automation when applied thoughtfully and at scale. His approach, which is centered around mentorship, continuous learning, and trust, offers a roadmap for tech professionals navigating digital transformation. Businesses might continue to grapple with the complexities of AI adoption, but Mahesh is armed with expertise and insights to provide both inspiration and practical solutions. As he says himself, “Setting a new standard for innovation and leadership in tech—that’s the vision, and one worth working toward.” Businesses are racing toward smarter operations through AI, automation, and digital transformation. The challenge doesn’t just lie in the adoption of new tech, however, but in doing so at scale. Mahesh Chayel , a Product Management Leader at Meta, has spent his career bridging complex technologies with tangible business outcomes. With over 12 years of experience leading AI-based products across global giants like TripAdvisor, Oracle, and NEC Asia Pacific, Mahesh’s philosophy on innovation and leadership is rooted in continuous learning, transparency, and mentorship. Mahesh Chayel Mahesh Chayel A Versatile Start in Product Leadership A Versatile Start in Product Leadership Mahesh’s start in product management wasn’t planned. He began his career as a software engineer at Oracle , where he explored diverse roles, including product marketing, analytics, and investment banking. His pivotal moment came through a mentor’s advice: find what you love, and success will follow. For Mahesh, product management proved to be the ideal fusion of creativity, impact, and strategic thinking—there was something special about creating something that he knows can easily impact people’s daily lives and make a real positive change. Oracle Oracle A top-ranked graduate from India’s Institute of Management (IIM) and MIT Sloan School of Management, Mahesh excelled in several disciplines. This broad foundation gave him the ability to work seamlessly across industries, a skill that would later prove invaluable in global roles spanning India, Singapore, Japan, and the United States. Innovation with AI at Meta and Beyond Innovation with AI at Meta and Beyond At Meta, Mahesh plays a key role in the adoption of generative AI and Machine Learning (ML) solutions. He spearheaded the integration of Gen AI into Ads and Monetization—an initiative designed to level the playing field for small enterprises by enabling them to compete with larger companies. These solutions offer small and medium-sized enterprises the same precision in ad targeting as major corporations. Mahesh’s leadership style centers around clarity and trust. “AI isn’t just about efficiency; it’s about making sure people feel in control of the technology they use,” he explains. During his tenure at TripAdvisor, Mahesh introduced ML-driven advertiser bidding, which empowered smaller businesses to optimize their ad spend and boost their return on investment. This fierce commitment to transparency remains a guiding principle in Mahesh’s work at Meta, where establishing trust in AI products is paramount. Challenges in Scaling and Leading in AI Solutions Challenges in Scaling and Leading in AI Solutions While AI offers transformative potential, scaling these technologies presents unique challenges. Businesses often struggle with aligning AI initiatives across business units, while smaller organizations need low-barrier solutions to unlock automation. Mahesh’s approach to scaling—what he calls a ‘1-to-100’ model—focuses on optimizing proven systems rather than experimenting from scratch. Mahesh emphasizes that AI must change behaviors, not just processes. “Many organizations try to bolt AI onto their workflows without realizing it requires a shift in mindset,” he notes. His experience implementing scalable automation has made him a sought-after speaker at conferences, including the Product Innovation Summit and the MIT India Summit. Mahesh has had to work harder than most to earn recognition in competitive environments. Growing up in a modest middle-class household in India, he initially struggled to find his calling. “People say you need to know what you want early on, but that wasn’t my journey,” he reflects. His experience of excelling across multiple fields—from engineering to marketing—shaped his ability to adapt quickly. These challenges honed his resilience and helped him approach new problems with confidence. This outlook helped Mahesh inspire others to embrace a mindset of growth through exploration. Mentorship in Community Engagement Mentorship in Community Engagement In addition to leading AI initiatives, Mahesh actively mentors aspiring product managers both within Meta and the broader tech community. Whether through LinkedIn or industry events, he imparts practical advice on identifying product-market fit, scaling solutions, and leading complex teams. “Mentorship is about giving sound advice, but it’s also about helping people discover their potential,” he shares. Mahesh has also spoken at prestigious events such as Product-Led Growth and the Singapore International Energy Symposium, covering topics like building scalable ML products and setting new industry standards for AI-enabled enterprises. For Mahesh, knowledge must be shared to drive collective growth. Recognitions and Notable Achievements Recognitions and Notable Achievements Mahesh’s expertise has earned him numerous awards, including the Globee Gold Award for thought leadership and the Stevie Gold Award for contributions to product management and marketing. He has also received internal awards such as the ‘Get Shit Done’ award at TripAdvisor for driving significant business growth and the Oracle U-ROC award for his exceptional performance. Globee Gold Award Globee Gold Award Stevie Gold Award Stevie Gold Award His professional journey is also marked by academic achievements, including ranking among the top 1,000 of 300,000 candidates in India’s IIM entrance exam and earning a second-place university ranking during his undergraduate studies. Passion as the Driving Force Passion as the Driving Force Mahesh’s career is an excellent example of the importance of following one’s passion. His early experiences navigating multiple roles helped him discover what he truly enjoyed. “Once you love what you do, it stops being a job,” he reflects, a philosophy that has driven his professional success. This mindset is something Mahesh actively instills in the people he mentors. He encourages them to explore diverse career paths and pursue continuous learning. His belief that passion fuels excellence has become a cornerstone of his leadership style. A Future Shaped by AI and Automation A Future Shaped by AI and Automation Mahesh is focused on tackling some of the most complex challenges facing the business world. His vision involves not just deploying AI solutions but also creating scalable frameworks that redefine industry standards. “The future belongs to those who continue evolving,” he says. Mahesh’s ability to adapt and learn positions him at the forefront of the tech world as he shapes the future of AI and automation. He envisions a world where automation enables businesses to operate more efficiently while also enhancing human creativity. Through continuous learning and collaboration with experts, he plans to stay ahead of the curve and keep pushing boundaries. __ Mahesh Chayel’ __s work shows the transformative potential of AI and automation when applied thoughtfully and at scale. His approach, which is centered around mentorship, continuous learning, and trust, offers a roadmap for tech professionals navigating digital transformation. Mahesh Chayel’ Businesses might continue to grapple with the complexities of AI adoption, but Mahesh is armed with expertise and insights to provide both inspiration and practical solutions. As he says himself, “Setting a new standard for innovation and leadership in tech—that’s the vision, and one worth working toward.”

Scaling AI and Automation for the Enterprise: Insights from Mahesh Chayel

Škálování umělé inteligence a automatizace pro podniky: Postřehy od Maheshe Chayela

Escalabilidad de la IA y la automatización para la empresa: perspectivas de Mahesh Chayel

Méretezési mesterséges intelligencia és automatizálás a vállalatok számára: Mahesh Chayel betekintése

企業向け AI と自動化の拡張: Mahesh Chayel の洞察

Аж ахуйн нэгжийн хиймэл оюун ухаан ба автоматжуулалтыг өргөжүүлэх: Махеш Чайелаас авсан ойлголтууд

Scalarea inteligenței artificiale și automatizării pentru întreprindere: informații de la Mahesh Chayel

Škálovanie AI a automatizácia pre podnik: Štatistiky od Mahesha Chayela

Kuongeza AI na Uendeshaji Kiotomatiki kwa Biashara: Maarifa kutoka kwa Mahesh Chayel

การปรับขนาด AI และระบบอัตโนมัติสำหรับองค์กร: ข้อมูลเชิงลึกจาก Mahesh Chayel

ስኬሊንግ ኤኣይን ኣውቶማቲክን ንኢንተርፕራይዝ፡ ርድኢታት ካብ ማሄሽ ቻይል

Ölçeg AI we kärhana üçin awtomatlaşdyryş: Maheş Çaýeliň düşündirişleri

Ku ringanisa AI na Otomatiki ya Bindzu: Vutivi ku suka eka Mahesh Chayel

The data analytics landscape is changing very quickly. For many businesses, the ability to gather, analyze, and interpret data effectively helps them to understand their customers, improve internal processes, and remain competitive. There are five trends that we think will shape up how businesses analyze and use data in the future. Let’s take a look at each of them and understand what they are. 1. Data Sources – Synthetic Data Any kind of data analytics needs source data, and in today’s world this can come from nearly anywhere. Traditional data sources like customer databases, sales records, and website analytics are now joined by newer sources, such as social media feeds, IoT devices (e.g. drones), and third-party databases. But amongst all these newer sources, there is one in particular that we think is going to shape the future - Synthetic data. This is where Artificial Intelligence (‘AI’) is being used to create a simulation of data based on real-world information. While we are in the early stages of using synthetic data, it is becoming an increasingly important tool in areas where it is hard to source original data. 2. Data Infrastructure - Interoperability With a growing number of data feeds and sources, it has been a constant challenge for many businesses to implement the right infrastructure. This includes both the software and hardware required to capture, store and process data across an organization. On the hardware front, one trend that has emerged over the past 10 years is cloud computing. This refers to the storage and processing of data in third-party data centres. Amazon was a first mover in this space with introduction of AWS. Nower days, the industry has matured with increased competition from other tech giants like Microsoft. Another trend within cloud computing has been to set up data lakes and warehouses. However, the trend that we are focused on is around software that can connect data from different sources in a standardized way - This is referred to as data interoperability. Having interoperability between different systems, such as data from the Customer Relationship Management system and the Enterprise Resource Planning system is critical for the flow of information. While many businesses struggle with interoperability, those that achieve it will have a real advantage by being able to leverage their data to gain deeper insights. 3. AI and Machine Learning (‘ML’) – Natural Language Processing (‘NLP’) AI and ML shook the world in late 2022 with the release of ChatGPT 3.5, which was an information chatbot free for the public to use. Since then, AI and ML have become the most powerful tools in data analytics. This was initially focused on using structured data within companies to gain new insights and forecast with increased accuracy. The use of AI has moved at a very quick pace and now there are all sorts of new tools that can help organizations leverage their structured data better. However, the trend that we really think is worth keeping an eye on is NLP, which is using AI to analyze and provide insights from unstructured data. This includes extracting insights from data sources like video, images and audio, which has traditionally been a very time consuming exercise, until now. 4. Data Visualization - Storytelling Data visualization historically refers to using graphics to present data. For most of us, these are the charts and graphs used in presentations and reports. However, we think that it’s becoming more about transforming data into a story that can be easily acted on. As the number of data sources increase, using data visualization as a tool to actually tell the story is becoming more important. Especially when it comes to informing people within an organization and having the right decisions made on time. Storytelling is a growing trend that simply combines data visualizations with the narrative. It makes it easier to explain the findings from complex data to a non-technical audience, and drive informed decision-making across all levels of the organization. 5. Talent – New Roles The demand for data savvy talent is growing as analytics becomes more central to business strategy. From data scientists to analysts, organizations need skilled professionals who can make sense of the data and communicate it effectively. While there’s a push to make data skills more accessible across roles, there is also the creation of new data-related roles, such as “analytics translators”. This particular role is focused on bridging the gap between technical and non-technical teams. These professionals help communicate insights effectively, ensuring that business leaders can act on data insights without needing a strong technical background. This is one example of some of the new roles that are being created, in parallel with increasing demand for traditional data roles, such as data scientists and engineers. Conclusion The world of data analytics and insights is moving quickly. It is being driven by new sources of data, robust infrastructure, advanced AI and ML capabilities, improved visualization tools, and growing demand for data-savvy talent. While data analytics is typically focused on internal data, benchmarking is another tool that can uncover competitive trends and insights using external data. Organizations who stay on top of these emerging trends are well-positioned to continue winning into the future. The data analytics landscape is changing very quickly. For many businesses, the ability to gather, analyze, and interpret data effectively helps them to understand their customers, improve internal processes, and remain competitive. There are five trends that we think will shape up how businesses analyze and use data in the future. Let’s take a look at each of them and understand what they are. 1. Data Sources – Synthetic Data Any kind of data analytics needs source data, and in today’s world this can come from nearly anywhere. Traditional data sources like customer databases, sales records, and website analytics are now joined by newer sources, such as social media feeds, IoT devices (e.g. drones ), and third-party databases. But amongst all these newer sources, there is one in particular that we think is going to shape the future - Synthetic data. This is where Artificial Intelligence (‘AI’) is being used to create a simulation of data based on real-world information. While we are in the early stages of using synthetic data, it is becoming an increasingly important tool in areas where it is hard to source original data. drones drones 2. Data Infrastructure - Interoperability With a growing number of data feeds and sources, it has been a constant challenge for many businesses to implement the right infrastructure. This includes both the software and hardware required to capture, store and process data across an organization. On the hardware front, one trend that has emerged over the past 10 years is cloud computing. This refers to the storage and processing of data in third-party data centres. Amazon was a first mover in this space with introduction of AWS. Nower days, the industry has matured with increased competition from other tech giants like Microsoft. Another trend within cloud computing has been to set up data lakes and warehouses . However, the trend that we are focused on is around software that can connect data from different sources in a standardized way - This is referred to as data interoperability. Having interoperability between different systems, such as data from the Customer Relationship Management system and the Enterprise Resource Planning system is critical for the flow of information. While many businesses struggle with interoperability, those that achieve it will have a real advantage by being able to leverage their data to gain deeper insights. data lakes and warehouses data lakes and warehouses 3. AI and Machine Learning (‘ML’) – Natural Language Processing (‘NLP’) AI and ML shook the world in late 2022 with the release of ChatGPT 3.5, which was an information chatbot free for the public to use. Since then, AI and ML have become the most powerful tools in data analytics. This was initially focused on using structured data within companies to gain new insights and forecast with increased accuracy. The use of AI has moved at a very quick pace and now there are all sorts of new tools that can help organizations leverage their structured data better. However, the trend that we really think is worth keeping an eye on is NLP , which is using AI to analyze and provide insights from unstructured data. This includes extracting insights from data sources like video, images and audio, which has traditionally been a very time consuming exercise, until now. NLP NLP 4. Data Visualization - Storytelling Data visualization historically refers to using graphics to present data. For most of us, these are the charts and graphs used in presentations and reports. However, we think that it’s becoming more about transforming data into a story that can be easily acted on. As the number of data sources increase, using data visualization as a tool to actually tell the story is becoming more important. Especially when it comes to informing people within an organization and having the right decisions made on time. Storytelling is a growing trend that simply combines data visualizations with the narrative. It makes it easier to explain the findings from complex data to a non-technical audience, and drive informed decision-making across all levels of the organization. Data visualization Data visualization 5. Talent – New Roles The demand for data savvy talent is growing as analytics becomes more central to business strategy. From data scientists to analysts, organizations need skilled professionals who can make sense of the data and communicate it effectively. While there’s a push to make data skills more accessible across roles, there is also the creation of new data-related roles, such as “ analytics translators ”. This particular role is focused on bridging the gap between technical and non-technical teams. These professionals help communicate insights effectively, ensuring that business leaders can act on data insights without needing a strong technical background. This is one example of some of the new roles that are being created, in parallel with increasing demand for traditional data roles, such as data scientists and engineers. analytics translators Conclusion The world of data analytics and insights is moving quickly. It is being driven by new sources of data, robust infrastructure, advanced AI and ML capabilities, improved visualization tools, and growing demand for data-savvy talent . While data analytics is typically focused on internal data, benchmarking is another tool that can uncover competitive trends and insights using external data. Organizations who stay on top of these emerging trends are well-positioned to continue winning into the future. growing demand for data-savvy talent benchmarking

5 Trends Shaping the Future of Data Analytics and Insights

5 প্রবণতা ডেটা বিশ্লেষণ এবং অন্তর্দৃষ্টির ভবিষ্যত গঠন করে

5 tendències que configuren el futur de l'anàlisi de dades i les estadístiques

5 tendencias que están dando forma al futuro del análisis y la información de datos

5 Tandans ki fòme avni done Analytics ak Insights

データ分析と洞察の未来を形作る 5 つのトレンド

5 Деректерді талдау мен түсініктердің болашағын қалыптастыратын тенденциялар

5 និន្នាការបង្កើតអនាគតនៃការវិភាគទិន្នន័យ និងការយល់ដឹង

5 Isbeddellada Qaabeeya Mustaqbalka Falanqaynta Xogta iyo Aragtida

Mitindo 5 Inaunda Mustakabali wa Uchanganuzi wa Data na Maarifa

5 Тамоюлҳои ташаккули ояндаи таҳлили додаҳо ва фаҳмишҳо

5 Trend na Humuhubog sa Kinabukasan ng Data Analytics at Insights

Iindlela ezi-5 zokubumba ikamva loHlaziyo lweDatha kunye nokuqonda

Transforming Legacy with Domain-Driven Design, V: Insights

Stories, News & Mentions about INSIGHTLY

Insightly’s Stories on HackerNoon