Business Intelligence Related Topics 
CIO
JANUARY 20, 2023
Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.
CIO
OCTOBER 26, 2023
Business intelligence (BI) analysts transform data into insights that drive business value. What does a business intelligence analyst do? The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.
CIO
OCTOBER 7, 2022
With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.
TechCrunch
DECEMBER 14, 2023
In recent years, there has been a proliferation of business intelligence tools that aim to help companies make critical business decisions based on data analytics. There’s a catch. “The sprawl that inevitably comes […] © 2023 TechCrunch.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
TechCrunch
NOVEMBER 14, 2022
Zenlytic, a business intelligence tool for commerce, secured $5.4 As my colleague Kyle Wiggers wrote earlier this year , business intelligence is getting some love from venture capital firms as the category yields more solutions for managing and analyzing large amounts of data so customers can identify new revenue opportunities.
TechCrunch
MARCH 19, 2021
Organizations spend ungodly amounts of money — millions of dollars — on business intelligence (BI) tools. Because BI has failed businesses. He has more than 20 years’ experience in the analytics market, including 10+ years of direct customer implementation experience. Yet, adoption rates are still below 30%.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs?
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
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In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Discover the top seven requirements to consider when evaluating your embedded dashboards and reports.
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You’ll learn: The evolution of business intelligence. How do you differentiate one solution from the next? Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application. The pros and cons for each option.
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We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.
Speaker: Sriram Parthasarathy
How predictive analytics and business intelligence can be used together to drive smarter business decisions. We’ll explore real-world examples of predictive in action and outline steps to help you maximize its value. Why every application that fails to talk about the future is at risk of getting replaced.
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