Everdome creates Metaverse-as-a-Service tooling and develops high fidelity metaverse concepts for brands & businesses - as a perfect first step into the metaverse for organizations of all sizes. Our Metaverse-as-a-Service tooling is built out from our hyper-realistic Mars & space exploration themed metaverse environment, which unites individuals, creators, brands & businesses to collaborate on extraordinary, immersive and shared digital adventures.

Everdome

As humanity makes rapid strides to catch up with the ever-evolving expansive world of the web, the UAE is sprinting—with tangible evidence to show for it. Undoubtedly, the highly tech-advanced nation is determined to live its promise of becoming a leading player in Web 3.0. The journey kicked off in July with Dubai unveiling its , a vision expected to push Dubai into the list of the leading Metaverse Economies. Since then, the city has experienced a surge in virtual activities as the government, private firms, and start-ups scramble to find a footing in the Metaverse. Metaverse Strategy The Ground is Set While Dubai seems to be taking the lead, other nations are making giant strides in the same direction. Saudi Arabia, for instance, has set aside an over US$6.4bn kitty to kick start its Metaverse journey. The bounty will be invested in advanced technologies . like the Neom Tech and Digital Company The firm already has a footprint in the Metaverse, whereby they unveiled the XVRS in February this year. The one-of-its-kind project is a cognitive twin metaverse that allows visitors to experience a physical and virtual presence in one go. Multiple Moves in the Right Direction The UAE virtual space is filling up fast, with multiple projects taking off in the recent past. In fact, many of the thoughtful innovations have clinched slots in the world's first category. Taking the Lead Taking the lead in the financial sector is . It's the world's with sites on Sandbox and Decentraland. Kuwait-based Warba Bank first Islamic bank to launch into the Metaverse The is also from the UAE. Striving to become a leading digital telco, has a presence in the Metaverse. Similarly, the has a slot in cyberspace. first telco on the Metaverse Virgin Mobile Kuwait giant Etisalat Still, on setting the pace, the is Qatar University from UAE. Soon, the region will produce the , a . world's first university on the Metaverse first hospital in the Metaverse brain child of the Thumbay Group The Bottom-line Beyond the UAE's thunderous entry into the Metaverse lies a huge yet-to-exploited potential. Rob Gryn, the founder of Everdome, put it quite well, "People here want to be part of the latest trends, especially when it comes to technology and gaming. When people are excited about something, brands get excited too, which means they will make a move to invest in their metaverse presence. That will fuel the Web3 economy."

The UAE's Sprint Into the Metaverse

Blast is an Ethereum Layer 2 platform that leverages the technology of rollups to address the limitations of the Ethereum network, particularly in terms of scalability, transaction fees, and security. By bundling numerous transactions off-chain, processing them within its own layer, and then submitting a condensed summary of these transactions back to the ETH mainnet, Blast significantly reduces the workload on the ETH blockchain. This approach results in key benefits such as increased transaction throughput, dramatically lower transaction costs for using Blast-based decentralized applications (dApps), and the robust security guarantees of the underlying Ethereum blockchain. Let’s take a look at how Blast became one of the most discussed projects this year. As a marketing professional, I want to show you how hype around such projects is created and how they act and position themselves to become one of the current DeFi leaders. And, if you run a DeFi project and you need advice on marketing and community building - you can directly. message me This article is just a marketing case, not an investment advice. Please, be careful and do your own research. Blast’s business model Let’s start with fundamentals - what differs your project from others. One of the key elements is a business model. It’s not only a technical solution, but also one of the key things you can use in marketing campaigns. Blast's unique business model differentiates it significantly from other DeFi protocols through several innovative features. These features not only enhance the user experience, but also contribute to the platform's attractiveness for both users and developers, leading to a rapid accumulation of Total Value Locked (TVL). Here's how Blast stands out: Native Yield for ETH and Stablecoins Blast is unique in offering built-in yields for ETH and stablecoins directly on its Layer 2 platform. This eliminates the need for users to interact with separate DeFi protocols to earn yields on their assets. For example, ETH staking on Blast leverages the post-Merge Ethereum staking capabilities, offering a 3.2% yield, while its stablecoin, USDB, earns a 13% yield by integrating with MakerDAO’s on-chain T-Bill protocol. This direct yield generation is a significant departure from the norm in DeFi, where Layer 2 solutions typically do not offer native yields. Gamified Airdrop Blast has implemented a gamified approach to its airdrop, making the process of earning and distributing tokens more engaging for users. This gamification includes mechanisms like referral codes, social media interactions, and a "super spin" lottery draw, where users' "luck" can increase based on their activities and the size of their "squad" or referral network. This approach incentivizes user participation and engagement in a way that's more interactive than traditional airdrop models. Layered Staking System This system allows for more nuanced and flexible staking options, catering to different risk appetites and investment strategies. This flexibility is appealing to a broader range of users and can lead to increased TVL as users find staking options that suit their preferences. Liquid Re-Staking Tokens Blast's model includes the concept of liquid re-staking tokens, which allows users to trade yield and earn a fixed yield on their assets. Support for Diverse DeFi Projects Blast's architecture and ecosystem are designed to support a wide range of DeFi projects, including DEXs, derivatives, NFT games, and more. This broad support encourages the development and migration of diverse applications to Blast's Layer 2 platform, contributing to its TVL and overall ecosystem growth. Now let’s take a closer look at the marketing mechanism of Blast DeFi to understand how they created such a hype around. And I want to start with the airdrop campaign that generated lots of noise. Airdrop The airdrop aims to incentivize user participation and engagement on the platform by rewarding them with Blast points, which will be convertible to BLAST tokens in May. Here's a detailed look at Blast's airdrop strategy and how users can receive points. Airdrop Mechanics Blast offers a native yield of 3.2% for ETH and 13% for stablecoins, derived from ETH staking and Real-World Asset (RWA) protocols. This yield is automatically passed back to users, distinguishing Blast from other L2 solutions that typically offer a 0% default interest rate. Blast's strategy to receive points for the airdrop involves several steps: Users need to sign up on the Blast website with an invite code (you can use 25N3O), follow Blast on social media, and connect their wallet. They must bridge ETH or other supported tokens from Ethereum to Blast L2 to start earning Blast points. Users can earn additional points by inviting friends to join Blast. Those who bridged assets to Blast before the mainnet launch receive a 10x multiplier on their earned points. Interacting with dApps on Blast allows users to earn Blast Gold, which will also be convertible to BLAST tokens in May. Additional Strategies for Blast Airdrop: Developer Incentives: 50% of the airdrop pool is reserved for users, while the remaining 50% is allocated to developers, encouraging both user and developer engagement on the platform. Multiplier Campaign: A future "Multiplier" campaign is planned, offering users additional ways to increase their points by using highlighted dApps, although this feature is not yet live. Blast's airdrop strategy is multifaceted, focusing on rewarding early users, encouraging asset bridging, and fostering engagement with dApps on the platform. By offering native yields and leveraging a points system that rewards participation, Blast aims to attract and retain users, thereby growing its ecosystem. This approach not only incentivizes user activity but also supports developers, ensuring a vibrant and active community around the Blast L2 solution. With such strategy the platform has reached over $2 billion in TVL, with a significant portion of this value coming from users bridging funds to participate in the future airdrop of Blast tokens, scheduled for May. Now let’s take a look at how Blast promoted it’s airdrop and the platform itself. Social Media The Blast project's social media presence has been crucial in spreading awareness and engaging with the community, especially in the early stages of the project's launch. That’s why one of the tasks of the airdrop campaign is to follow Blast’s Twitter. Blast has 580+K followers on its official Twitter account . @Blast_L2 Partnerships Blast has established partnerships with real-world asset protocols to enhance its ecosystem's accessibility and inclusivity. These partnerships aim to integrate tokenized assets seamlessly, thereby expanding DeFi's reach and fostering a more inclusive financial ecosystem. Additionally, collaborations with web3 risk management firms like Gauntlet and DeFi money market protocols like Morpho have been announced, indicating a focus on security and sustainability within the DeFi space. Influencer Collaborations The project has strategically collaborated with influencers to leverage their reach and credibility. These collaborations have been instrumental in promoting Blast and its features to a wider audience. You can find dozens of videos on Youtube, posts on Reddit and Twitter about Blast. Most of them are educational - they show how to use the platform and maximize the points you potentially can get. Events Blast has engaged the community through events, including developer contests like the "Big Bang" contest, which attracted over 3,000 projects. These events aim to foster innovation and encourage the development of applications on the Blast platform. Such initiatives not only promote Blast but also contribute to the broader Ethereum ecosystem by supporting developers and new projects. Content Marketing Through platforms like Substack and various crypto-focused blogs, Blast has disseminated detailed information about its features, benefits, and the future vision of the platform. Articles exploring the scalability solutions offered by Blast, its unique yield mechanisms, and real-world asset integration have been pivotal in educating the community and attracting interest from developers and users alike. Additionally, the project's focus on creating a developer-friendly environment and its promise of native yields for ETH and stablecoins have been highlighted as key differentiators. Investors Investors in crypto are not just only money. Projects use it as a proof of confidence to its audience. Let’s take a brief look at how invested in Blast. : A leading crypto investment firm, Paradigm has been mentioned as a major backer of Blast. Paradigm is known for its investments in various successful crypto projects and platforms, emphasizing its confidence in Blast's potential within the Ethereum ecosystem. Paradigm Another notable investor in Blast, Standard Crypto is a venture capital firm that focuses on supporting projects at the forefront of the crypto and blockchain space. Their investment in Blast underscores the platform's promising approach to enhancing Ethereum's scalability and user experience. Standard Crypto: : This crypto-native investment firm, known for its unique approach and community-driven investment strategy, has also invested in Blast. eGirl Capital's support further validates Blast's appeal to the DeFi community and its potential to attract a diverse user base. eGirl Capital : Co-founded by Andrew Kang, Mechanism Capital is an investment firm that focuses on blockchain and DeFi projects. Their investment in Blast indicates a belief in the platform's strategy to offer native yields and improve transaction efficiency on Ethereum. Mechanism Capital : Known for his insights and contributions to the crypto space, Hasu's involvement as an investor in Blast adds a layer of credibility and expertise, especially in the context of staking solutions and yield generation. Lido Strategy Advisor Hasu Blast is currently a notable player in DeFi and Ethereum Layer 2 space. As you can see the project has employed a multifaceted marketing strategy to promote its platform and attract users. Let’s see how Blast will complete it’s airdrop campaign and what results we will see afterwards. But anyway, it’s worth it to see how the project is promoted and what mechanics it uses to build its community. P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

Why Everyone's Talking About Blast: The DeFi & Airdrop

The TechBeat: How to Unleash Insights for Everyone: Multi-Tenant Architecture for Embedded Analytics  (3/23/2024)

All you really need to grasp is , and once you do, it’ll stick with you forever. one fundamental concept Let’s start by framing our discussion properly. How about we use the example of predicting cancer? Imagine we’ve built an algorithm that tries to guess whether someone has cancer or not based on certain factors. Situations like this, where the data is unbalanced or skewed, are where we focus more on precision-recall metrics rather than just looking at overall accuracy or mean absolute error (MAE). Here’s a simplified example: If we always predict “0” (meaning “no cancer”) for any early signs of a medical condition, we might achieve an accuracy rate of over 95% most of the time! Precision and Recall comes handy when whetting a model which deals with skewed datasets You’ll come across formulas everywhere, but my goal with this blog is for those formulas to make sense to you every time you encounter them. The Confusion Matrix, The Formulas & The Why A confusion matrix is like a scoreboard that shows how many predictions were correct and how many were incorrect for each category or class the model is trying to predict. The matrix typically has rows representing the actual classes and columns representing the predicted classes, making it easier to see where the model is getting confused or making mistakes. also, the formulas which you have seen everywhere I used to struggle with this topic a lot. Even after checking out various resources, I still found myself confused if I didn’t keep revisiting it. That’s why I decided to write this blog post — to break it down in the simplest way possible, using clear language without any jargon to make sure it’s easy for everyone to understand. Isn’t it funny how the simplest things can be the most perplexing? For the remainder of this post, I’ll assume that we’re calculating precision specifically for the positive class label. 3. Precision and Recall - The best explanation out there Precision Precision or precisely or model is making the correct predictions. It measures the number of correct predictions made by the model out of all the positive predictions it generated. how precisely If model has made 100 positive predictions, out of those predictions some would be actually right, that is True Positive, some of those would be what model said right but is actually wrong, but since model called them positive, therefore they are known as False Positive. Hence Precision increases when we raise our model threshold, because if we raise the threshold, only those outputs would be chosen for which model is sure Higher we take our threshold, precision increases, as higher number of false negatives increases Recall Recall as the name suggests re-call, refers to how many positive examples in our dataset the correctly. model can recall A false negative is when the model labels an example as negative, but it’s actually a positive example. All Positive points in dataset would then be defined as True Positive + False Negative Therefore, recall is the proportion of positive predictions made by the model compared to all positive examples, indicating how many examples the model successfully recalled from the total positive examples. Hence If we focus on maximum recall, model will start predicting more false positives. When is what important When is recall important? If you adjust the probability threshold, you’ll notice a balance between precision and recall, where improving one leads to a decrease in the other. As a data scientist, you’ll frequently face the decision of prioritising either better precision or better recall based on your model’s intended use. In the context of the COVID-19 pandemic, you’re developing a model to determine whether an individual has COVID-19 or not. This is a critical scenario with high sensitivity attached to it. It’s crucial that our model avoids generating false positives because if it wrongly predicts someone as having COVID-19 when they don’t, it could significantly impact the healthcare system, leading to unnecessary hospital visits and strain on resources. In such scenarios, we aim for a model with high recall. This means that our model accurately identifies individuals who have COVID-19, ensuring they receive immediate and appropriate care. When is precision important? Precision becomes crucial in situations where the accuracy of your predictions needs to be top-notch, especially when the cost of false positives is significant. For instance, imagine you’ve developed an algorithm that predicts whether a business can be bought and sold for a profit. Let’s say every successful trade earns you around $100, but every unsuccessful trade results in a loss of about $200. In this scenario, . While you might accept losses on businesses flagged as negative by your algorithm, you want to ensure that any business it identifies as positive is indeed a profitable deal. Therefore, the algorithm needs to prioritize high precision, meaning it should generate more true positives and minimize false positives. you want your predictions to be highly accurate General Scenario or F1-Score In general scenario, generally in case of skewed datasets, when we have multiple models, some model will have more precision some has more recall, to compare which model we should use, we come up with a of both precision and recall, which is known as the F1-Score harmonic mean We want our model that performs well on both precision and recall, if it does well on either of one, then that model should be avoided. A helpful rule of thumb for knowing when to is when your classifier’s objective is to , such as cancer or identity theft. Failing to identify these negative instances can have severe repercussions. Therefore, in such detection tasks, the aim is to maximize the recall rate as much as possible. prioritise recall detect something negative or undesirable Thank you for reading this far, If you have enjoyed reading this please me on or ! follow linkedin visit my digital garden

Precision and Recall: Simplifying the Essentials for Everyone

The talk of the town with a 210% pump in the last month is none other than Bitgert. Investors are rushing in to buy the hottest new altcoins in the market. Altcoins like have managed to capture investor attention at all levels. Bitgert As expressed by Vitalik Buterin in his , his biases towards L1s instead of L2 solutions have led to Layer-1 blockchains being on top, achieving multi-bagger gains. tweets Coupled with prevailing good investor sentiment and some bullish technical indicators lining up at once, BRISE (Bitgert’s native token) might potentially reach $0.0001 soon. The Proof-of-Authority (PoA) consensus mechanism used in the Bitgert network enables low fees and high efficiency. The poA consensus mechanism is a low-power alternative to traditional Proof-of-Stake (PoS) and the energy-intensive Proof-of-Work (PoW) model. In PoA, a few network validators are identified in the block generation process to keep power consumption low and security high. Just a new trend or a good investment? There have been a lot of consistent developments worth noticing which are responsible for the pump in price. is on the path of being everyone’s favorite altcoin. Bitgert is also set to launch on the biggest European exchange. Bitgert There has been a positive trend in the token’s price since the start of the year. Investors in the Bitgert token are keeping their fingers crossed that the token’s strong performance will carry over throughout the remainder of the year. The unique tokenomics and focus on user incentives, nevertheless, set this initiative apart and increase the token’s appeal to investors. A lot of analysts have predicted that BRISE would set an ATH very soon and lead the altcoin rally. Deflationary tokenomics is a factor that has contributed to the increasing popularity and price of BRISE. Bitgert has developed many blockchain-based solutions for applications in the metaverse, such as non-fungible tokens (NFTs) and decentralized finance (DeFi). Learn more . here One may easily stake BRISE on the Bitgert Chain. Users may conduct swaps using the Bitgert DEX, one of the platform’s decentralized apps (dApps), and it is also interoperable with them. Investors may earn BUSD as a reward for staking the token on the Bitgert Chain or BSC. With a price increase of 95.40% in the last 7 days, Bitgert (BRISE) is outperforming the global cryptocurrency market which is up by 11.80%. Conclusion In the ever-so-volatile world of crypto, identifying the next big altcoin winner is a pursuit that demands scrutiny and foresight. Bitgert’s interoperability and focus on user incentives make it a top choice for investors. To know more about Bitgert, Visit the Buy Bitgert coin from the below exchanges now: Website Buy on Kucoin - BRISE/USDT Buy on Gate.io - BRISE/USDT Buy on MEXC - BRISE/USDT Buy on Pancakeswap Buy on Uniswap This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

Bitgert Coin: The Hottest New Trend in Cryptocurrency – Find Out Why Everyone's Jumping on Board!

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Bitgert Coin: Der heißeste neue Trend in der Kryptowährung – Finden Sie heraus, warum alle mitmachen!

Bitgert Coin: la nueva tendencia más candente en criptomonedas: ¡descubra por qué todos se están sumando!

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Understanding Multi-Tenant Architecture Multi-tenant architecture (MTA) is a software architecture in which a single instance of an application serves multiple customers, known as tenants. The tenants share the same application logic and physical hardware resources while their application data remains securely isolated. What It Is – Serving Many with One A multi-tenant architecture means that a Software-as-a-Service (SaaS) application can handle many tenants simultaneously on the same platform. This differs from a traditional single-tenant design where each customer has their own separate instance of the application. With MTA, customers access the same application codebase but only see their own data partitioned logically by tenant IDs. For example, a SaaS application serving the healthcare industry may have thousands of different hospitals using the same application platform. Even though all these companies share the same dashboards and reports, each company’s data remains invisible to other tenants. healthcare analytics The multi-tenant architecture allows the analytics software vendor to realize tremendous efficiencies by maintaining a single application stack instead of separate instances. Data Segregation – Walls, Not Silos A key capability of multi-tenant architectures is strong tenant and user isolation security. This ensures customer data privacy and prevents the co-mingling of sensitive information between organizations, which can introduce compliance risks. Data segregation is achieved via tenant identifiers assigned to all data at rest and in transit, logically partitioning information for each customer account. User access restrictions also prevent tenants from viewing or accessing anything outside their tenant domain. For added security, data encryption protects sensitive assets throughout the system. By providing logically isolated data “walls” for each customer within the shared architecture, multi-tenant applications offer far more efficient resource utilization than siloed single-tenant implementations while still maintaining data privacy needs. This pairs well with the that we described in detail previously. multi-tenant databases Scalability at Heart – Growing Together In addition to operational efficiencies, multi-tenant platforms provide simpler and less risky scaling capabilities as additional customers/traffic are added. Adding new tenants is fast and seamless since the application stack and servers are already provisioned. Multi-tenant apps are designed to handle dynamic spikes in traffic volumes across their shared resource pool. Furthermore, new capabilities only need to be built once to instantly become available to all tenant organizations. Vendors avoid prolonged and costly upgrades of disjointed customer instances. Together, these factors provide linear scaling perfect for Software-as-a-Service growth. Why Multi-Tenant Is a Must for Embedded Analytics Let’s explore why a multi-tenant approach offers compelling advantages for analytics app development specifically. Cost-Effective Advantage Multi-tenant architectures minimize server, storage, and administrative costs by allowing resources to be shared securely across all an application’s users. For embedded analytics apps that provide customer reporting/BI capabilities as an integrated software feature, multi-tenancy streamlines deployment and operations significantly compared to single-tenant options having disjointed instances. Vendors benefit through faster delivery cycles, reduced infrastructure costs, and less complex feature upgrades. These savings get passed on to users making advanced analytics/BI solutions far more accessible to businesses of all sizes. Faster Implementations Onboarding new customers onto an existing multi-tenant is straightforward since the foundations are already in place. Organizations can configure their data sources, models, and reports rather than needing prolonged setup of underlying infra/admin systems. embedded analytics platform This accelerated rollout unlocks value faster, allowing insights to be put into action quicker without extended implementation delays. Consistent Updates Analytic apps evolve continuously, but pushing out new features/updates to disjointed single-tenant systems is tedious and risky. Vendors must replicate efforts across all customer instances. However, multi-tenant analytics apps allow seamless distribution of cutting-edge capabilities across ALL customers simultaneously with no extra effort. Customers receive hands-off, prompt access to the latest innovations like AI-powered business insights. Or better yet, embedded analytics software with strong can enable the rollout of updates to specific tenants or user groups. content deployment capabilities Richer Analytics Landscape Within a shared, trusted multi-tenant ecosystem, exciting opportunities emerge for analytics benchmarking across similar industry customers. Comparing metrics against peers yields more meaningful competitive insights without exposing sensitive data. A competitive advantage for a SaaS platform looking to differentiate against the competition. Additionally, analytics vendors gain tremendous feedback for improving their products based on extensive real-world usage data across their collective tenants. This is challenging to aggregate in mass scale from fragmented single-tenant implementations. Single Tenant vs. Multi-Tenant: A Head-to-Head for Reporting Multi-tenant architectures provide definite trade-off advantages, but single-tenant designs retain merits in some scenarios. How do the two options square off for embedding customer analytics capabilities? Cost & Scalability Multi-tenant analytics apps enable immense scale without proportional cost growth. Adding customers has near-zero incremental overhead for vendors since resources and systems are centralized. Single-tenant implementations are far more expensive to replicate and manage with separated infrastructure requirements across ballooning customer instances. Scaling typically requires over-provisioning capacity that sits unused much of the time. This reason alone prevents legacy business intelligence software from being used for embedded analytics use cases within SaaS applications. Customization Multi-tenant architectures can allow engineering teams to offer custom, one-off reporting to users of specific tenants through custom data models in a scenario. However, this functionality is only found in solutions with data lakes optimized for like . multi-tenant analytics multi-tenant analytics Qrvey Single-tenant analytics offer unlimited customization flexibility but frequently result in disjointed, hard-to-maintain deployments at each site that lag vendor innovations. Security & Control Maintaining tenant data isolation is paramount. Multi-tenant architecture’s shared components introduce hypothetical attack vectors between organizations if vulnerable. Rigorous security protections minimize this risk considerably. Fully segmented single-tenant analytics provide physically isolated security domains for each customer for essentially air-gapped data access control. But this protection advantage comes with significantly higher delivery costs. Putting it All Together: Multi-Tenant & Embedded Analytics in Action Now, let’s explore real-world examples showcasing multi-tenant analytics architectures successfully powering embedded reporting solutions. Real-World Examples Many SaaS innovators today rely on multi-tenant designs fueling their analytics offerings: HubSpot leverages MTA to underpin reporting for thousands of customers within their marketing SaaS platform, providing key activity monitoring. Zuora taps MTA to embed subscription billing analytics for subscription economy pioneers like Box, Crunchbase, and DocuSign. MixPanel uses MTA to slice 15 billion data points daily across 4000+ software vendors needing customer analytics. Building Your Multi-Tenant Analytics Strategy Ready to leverage multi-tenancy for your own app’s embedded reporting/BI capabilities? Keep these guidelines in mind: Choose analytics platforms purpose-built for multi-tenancy to ease embedding. Traditional BI tools lack multi-tenancy at their foundation, one of the . primary reasons SaaS companies choose Qrvey Plan security policies and access controls upfront is critical for data security/compliance and long-term maintenance. The Future is Multi-Tenant Multi-tenant SaaS adoption continues accelerating across all software categories. The efficiencies are proven, and forward-thinking SaaS companies are primed to reap similar benefits. As advanced analytics permeates daily workflows via embedded apps, multi-tenant architecture unlocks immense potential whether you are building or leveraging these next-gen reporting tools. Unleash the Power of Multi-Tenant Analytics in Your Embedded Application Get Started Today Qrvey is the only complete solution for embedded analytics within SaaS platforms. Qrvey goes beyond dashboards to provide you with the data engine and hosting solution that saves engineering teams time so they can ship faster and build less. For an in-depth guide on how Qrvey handles multi-tenancy, read our guide here. To learn more about options for bringing multi-tenant embedded analytics alive within your software solution, tailored to your analytics integration needs and unlock success faster by leveraging purpose-built platforms ready for your next innovation! sign up for a demo

How to Unleash Insights for Everyone: Multi-Tenant Architecture for Embedded Analytics 

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Everdome

everdome.io

51-200 employees

Since 2021

COMPANY RANKING

EVERDOME

EVERGREEN INDEX #3575

Everdome WIKI

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Everdome

everdome.io

51-200 employees

Since 2021

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EVERDOME

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