Let's learn about Business Intelligence via these 63 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.
1. How To Deploy Metabase on Google Cloud Platform (GCP)?
Metabase is a business intelligence tool for your organisation that plugs in various data-sources so you can explore data and build dashboards. I'll aim to provide a series of articles on provisioning and building this out for your organisation. This article is about getting up and running quickly.
2. How Midsized Companies Can Make the Most of AI
3. 8 Key Factors That Justify The Unparalleled Growth Of The Managed Services Market
More and more businesses are willing to cut down their costs by hiring managed service providers. Here's why.
4. From Quantum Computing to 5G - The Top 10 Digital Transformation Trends in 2021
Where is the new road going to take us? We cannot be entirely certain, but in 2021 these trends in digital transformation are likely to be relevant.
5. 7 Benefits of AI-Enabled Document Management Systems
Traditional cabinets — stuffed with contracts, vendor agreements, onboarding paperwork, and other documents — are harming productivity even in 2020. According to Xerox, SMBs waste 46% of their time dealing with document management issues. In this article, I'll explain how you can maximize workplace efficiency by switching to an AI-enabled document management system.
6. How To Turn Data Into Actionable Insights For Business Growth
In this guide, I'll share the most efficient techniques and tools to turn data into actionable insights that you can use to grow your business.
7. Non-Linear Competition In A Tech-Driven Business World
How the competition works in the long-term, and how competition is non-linear in a tech-driven business world
8. Generate High-Quality Consumer Insights Through Secondary Research
The world of product development is obsessed with “talking to the customer.” While it's not possible to talk to all of them, you can follow a trail left by them
9. Business Intelligence Strategy: 5 Easy-Steps to Make it More Effective
BI is without any doubt the emerging warrior of businesses against their fight to conquer the online world. It can give edge over their competitors.
10. 5 Real-World Examples That Prove That Business Intelligence Really Works
Discover real examples of implementing business intelligence technology in companies such as Coca-Cola, BBK and more. Find out how to get started!
11. What the Heck Is Malloy?
Malloy is a new experimental language for describing data relationships and transformations created by the developer of Looker.
12. How IoT Can Help You Grow Your Business
Internet of Things has become quite a buzzword these days. But what exactly is IoT, and how can it help you grow your business to new heights?
13. Eliminating Difference Between Business Intelligence analysts, Data Analysts or Data Scientists 🚀
There was a time when the data analyst on the team was the person driving digitalization in an adventurous data quest...and then the engineers took over.
14. OSINT: What You Can Find About a Person from Public Sources
The range of OSINT applications is limited only to your imagination: from background checks on business partners to reuniting with long-lost relatives
15. 3 Key Advantages of Open-Source Intelligence
The field of business intelligence has been growing quickly, and data mining is a huge source of income for technology companies and others. When businesses nee
16. Top 4 Real-time Applications of Machine Learning in 2022
This article looks into the best machine learning applications in various industries and the real-life application of machine learning in detail.
17. How to Use Business Intelligence: 66% of Companies Want to Be More Data-Driven in 2021
How do BI solutions help to make the decision-making process driven by data, improve CX, and speed up reporting? And how can you implement it yourself?
18. Moving From the Flat Earth: Why We Should Switch to Data-Driven Finance
Businesses should switch from linear formulae to data-driven finance. This will allow companies to not only get an immediate revenue boost!
19. What is Web Data Collection?
Everything you need to know to automate, optimize and streamline the data collection process in your organization!
20. AI-driven Features with the Highest Potential for Enterprise Development
Enterprise players across all industries are eager for optimization and improvement of their business processes: administration, customer service, marketing, sales, recruiting, and others. Today AI-driven software can cover the most common Enterprise needs like data security, data processing, resource optimization, and brand awareness. Forrester has reported that AI is also able to improve customer service and quality of existing products, increase revenue streams, and customer lifetime value.
21. 6 Tips to Get More Value Out of Your Microsoft Power BI Dashboard & Reports
By using Microsoft Power BI, you increase the efficiency of your company through its interactive insights and visual clues. Here are 6 tips for Power BI users.
22. Introducing Conversation.ai
This post has been authored by Aakrit Vaish, Co-Founder & CEO of Haptik
23. New Power BI Features For More Streamlined Data Analysis
Here are the new features of Power BI (unveiled at the Microsoft Ignite 2021) that can be absolutely beneficial for business users.
24. 3 Ways You Can Build and Update Websites Using Data Pushes
Data is getting more and more accessible and is increasingly being used to inform the way businesses operate.
25. Pilosa: A Scalable High Performance Bitmap Database Index
Big data is a big problem, at least getting anything useful out of it. Every day there is about three quintillion (the next step up is sextillion or one zettabyte) bytes of data created and only about 20% of it is structured and available to easily process. Nearly all useful processing that is done relies on a philosophy that is little changed from the green bar reports we were generating during the night shift and handing out up till the turn of the century. The whole map/reduce process is overnight batch processing, you aren’t working on live data, you are working on a snapshot, which might be fine for some companies, but for others, they need to be able to make decisions on high-velocity inbound data in near/real time.
26. Robotic Process Automation BI Facts And Myth
According to a recent study from Harvard Business Review, there's an immense appetite for learning from your company data. Regardless of industry, decision-makers worldwide know they can harness data to make the right strategic calls, whether they are corporate leaders, salespeople, nurses, or technicians.
27. Benefits of Business Intelligence in Leading Your Engineering Team
Today’s business world is increasingly (and dizzyingly) complex. Traditional methods of navigation through this complexity are obsolete. C-suites admit that they don’t have enough of the right information at the right time, because their inner reports are no longer reliable.
28. Microsoft's Power BI for Business: Features, User Experience And Pricing
All you need to know about Power BI Features, Benefits, Use Cases and pricing. A Comprehensive Guide to Power BI and how it stacks up to Microsoft Excel
29. Self-Service Business Intelligence and How to Do It Properly
Self-service business intelligence, or BI, has been on the to-do list of many organizations for quite a while.
30. Tableau Vs. Power BI: The Complete Comparison
The world of analytics is continually evolving, introducing new goods and adjustments to the modern market. New companies are entering the market and well-know
31. What Is Modern Business Intelligence?
This article gives insight into some basic features and functionality that a desirable modern BI software has and illustrated some examples.
32. Why Data Anomalies are More Important Than You Think
It is easy to be annoyed by strange anomalies when they are sighted within otherwise clean (or perhaps not-quite-so-clean) datasets. This annoyance is immediately followed by eagerness to filter them out and move on. Even though having clean, well-curated datasets is an important step in the process of creating robust models, one should resist the urge to purge all anomalies immediately — in doing so, there is a real risk of throwing away valuable insights that could lead to significant improvements in your models, products, or even business processes.
33. What Future Business Investors can Learn from Past Trends
If you want to protect your assets and seize opportunities during major crises, you need to consider the consequences.
34. The Risky Business of Breaking New Ground in Your Industry
Risky Business: Breaking New Ground in Your Industry
35. Are You Prepared to Respond to Advanced Security Incidents?
36. How To Choose The Right Business Intelligent Tool
In this blog, we look at strategies for selecting the right BI tool as well as some important things to keep in mind throughout the process.
37. Top 8 Best Qlik Sense Extensions
Qlik Sense is powerful data visualization and BI software. But sometimes its functions are not enough. Meet the best Qlik Sense extensions to do more with data!
38. Deep Dive Into Open Source BI Tool Helical Insight
When Helical Insight first announced a couple of years ago that they were releasing an Open Source Business Intelligence (BI) tool, it really caught my interest and I reached out to founder Nikhilesh Tiwari to find out more about what he was doing. I spent a little time with the product and really liked where it was going and was determined to do more of a deep dive in the future, and with their release of version 3.0, that time is now.
39. Opportunities And Challenges of Integrating Power Business Intelligence
Powerful, affordable, effective—these are just three of the terms used to describe Microsoft’s Power BI data visualization platform. Its status as a world-leading business intelligence tool supports all the positive hype to be found across the IT media world.
40. Hacking The Psychology of Business Names
What's in a name? It's important to figure out how to pick the best name for your business.
41. Embedded data analytics and reporting tools that empowers Business analysts
Embedded data analytics and reporting tools that empowers Business analysts
42. An Internal Email to Tim Cook and the State of Business Intelligence
We get a glimpse into the inner workings of a valuable company and it turns out it's not all sunshine and rainbows.
43. British Cybersecurity Firm Darktrace Goes Public
Darktrace affirmed on Monday that it intended to float on the London Stock Exchange to raise new funds and for the acceleration of product development.
44. 4 of the Best Ways to Use AI in Business
Artificial Intelligence (AI) has created a lot of disruption in the business world.
45. From Raw Data to Actionable Insights: The Power of Data Aggregation
This article examines data aggregation processes: collecting data to present it in summary form.
46. Optimize Power BI Reporting and Designing
As a data analysis tool, Power BI comes loaded with plenty of report generation and design features. However, do not rely on the default settings of the tool.
47. 5 Steps to Master Customer Intelligence in 2021
Customer intelligence is the process of gathering and analyzing customer data.
48. Translating Data into Actionable Insights: Development of Data Studio Connector for FreshSales Deals
Startups lack resources. They start small, think big and wish to scale fast. At the same time, they expect data and analytics to lie at the heart of their decision-making process.
49. 5 DBT Repositories You Need to Star on GitHub
The 5 hottest dbt Repositories you should star on Github 2022 - Those are mine!
50. Grafana Vs. Kibana Vs. Knowi: Battle Royale 2020
Intro: Grafana vs Kibana vs Knowi
51. How To Choose The Right Business Process Automation Technology
This article will give you some insight into what to look for when selecting business process automation software to enhance your productivity.
52. Uber to Netflix: The Basics of Billion Dollar Business Models
Do you know what distinguishes Billion-dollar companies like Uber, Amazon, Netflix, Airbnb, etc. from other companies? Their effectively created & implemented business models. Business models that are flexible. Revenue generation models that react to the varying needs of customers.
53. The Role of Machine Learning in Data Cleaning
There are stages in the data cleansing process where machine learning can not only automate workflows, but influence decisions, and achieve better results.
54. 5 Things to Watch Out for When Implementing Tableau BI
Has your organization decided to adopt and implement the Tableau BI platform, namely its Tableau Server and Tableau Online versions?
55. 20 Herramientas de Inteligencia Empresarial (BI) más Populares en 2020
Business Intelligence (BI) es un negocio basado en datos, un proceso de toma de decisiones basado en datos recopilados. A menudo es utilizado por gerentes y ejecutivos para generar ideas procesables. Como resultado, BI siempre se conoce indistintamente como "Business Analytics" o "Data Analytics".
56. IoT Trends in 2021: Driving Innovation in Businesses
Here are the latest IoT trends and key predictions of how the Internet of Things will drive digital transformation of business in 2021.
57. Breaking into Deep Learning: Transforming the World Without Expert Input
Deep learning is a subdivision of machine learning in which Artificial Neural Networks (ANNs) learn from a huge influx of data to produce high-quality output.
58. 8 Tools To Improve Business Reporting
Based on the best reporting tools criteria, I selected eight top reporting software, arranging from free and open-source to commercial, specialized in different
59. The United Kingdom's New National Data Strategy (Summary and Analysis)
This Article is a Summary for the official National Data Strategy release here
60. Top Tableau Consulting Companies on the Market in 2020
Business intelligence has become an indispensable part of successful businesses, and the sooner executives recognize data as a crucial component of decision-making, the sooner they will be able to improve their operational processes.
61. Top 30 Business Intelligence Consulting Companies
In the information age, data is a vital source for everything: from housekeeping to business management, people need to stay tuned in order to survive. But the tricky thing is that the amount of data available both offline and online is so huge it cannot be traced manually anymore, and it continues to grow. According to Raconteur, each day we publish 500 million tweets, send 294 billion emails, and make five billion search requests. The amount of data generated daily is expected to reach 463 exabytes by 2025. The numbers are mind-blowing, and the first question to arise is: how do we process all this data?
62. BI Analyst Interview Questions And Answers: 2020 Edition
Why you should prepare for BI analyst interview questions?
63. Can Machine Learning Predict Loan Defaults?
Visualize Insights and Discover Driving Features in Lending Credit Risk Model for Loan Defaults
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