InData Labs
APRIL 10, 2025
The retail sector is among the most competitive markets, making it exceptionally difficult for businesses to not only thrive but even survive. Business intelligence in retail industry can be a colossal game changer for organizations struggling to compete. How to leverage business intelligence in retail industry InData Labs.
Simon Späti
JUNE 14, 2020
Today we have more requirements with ever-growing tools and framework, complex cloud architectures, and with data stack that is changing rapidly. I hear claims: “Business Intelligence (BI) takes too long to integrate new data”, or “understanding how the numbers match up is very hard and needs lots of analysis”.
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Maxime Beauchemin
MARCH 8, 2021
For those reasons, it is not surprising that it has taken over most of the modern data stack: infrastructure, databases, orchestration, data processing, AI/ML and beyond. In this blog post, I will explain why the future of business intelligence is open source. we were stirred towards using Tableau Extracts.
Data Engineering Podcast
APRIL 16, 2023
Summary Business intellingence has been chasing the promise of self-serve data for decades. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Who are the target users?
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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.
KDnuggets
MARCH 25, 2024
Ready to become a business intelligence analyst right here, right now?
WeCloudData
MARCH 5, 2025
Everything revolves around data. Organizations use insights extracted from the data to make informed decisions. The modern data world is complicated, as multiple terms or titles are given to distinct roles and purposes. appeared first on WeCloudData.
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.
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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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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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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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