CIO
DECEMBER 6, 2024
Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services. It combines SQL analytics, data processing, AI development, data streaming, business intelligence, and search analytics.
TechCrunch
MARCH 19, 2021
Organizations spend ungodly amounts of money — millions of dollars — on business intelligence (BI) tools. Because BI has failed businesses. A gap exists between the functionalities provided by current BI and data discovery tools and what users want and need. Yet, adoption rates are still below 30%. Why is this the case?
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TechCrunch
OCTOBER 28, 2020
We’ve seen our fair share of business intelligence (BI) platforms that aim to make data analysis accessible to everybody in a company. “I have seen the business intelligence problems in the past,” Panuganty said. Will automation eliminate data science positions?
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. You’ll learn: The evolution of business intelligence. How do you differentiate one solution from the next? 4 common approaches to analytics for your application.
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.
TechCrunch
NOVEMBER 14, 2022
Zenlytic, a business intelligence tool for commerce, secured $5.4 million in seed funding to continue developing its natural-language interface for non-technical users who want to corral their customer acquisition, conversion and retention software into one tool without needing a data team.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
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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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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.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Speaker: Richard Cheng, Associate Product Manager, Mark43
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.
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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.
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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. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world.
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