CIO Business Intelligence
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.
CIO Business Intelligence
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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CIO Business Intelligence
DECEMBER 20, 2024
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.
CIO Business Intelligence
MARCH 26, 2025
While many organizations have already run a small number of successful proofs of concept to demonstrate the value of gen AI , scaling up those PoCs and applying the new technology to other parts of the business will never work until producing AI-ready data becomes standard practice. This tends to put the brakes on their AI aspirations.
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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 Business Intelligence
DECEMBER 12, 2024
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Theres a perspective that well just throw a bunch of data at the AI, and itll solve all of our problems, he says.
CIO Business Intelligence
DECEMBER 11, 2024
In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.
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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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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: Howard Dresner & Chandrashekar (a.k.a. LSP)
In hyper-competitive markets, modern businesses need to stay dynamic and always be evolving. That's why many organizations have embraced data-driven decision-making as the fulcrum for accelerated business growth, and this trend is here to stay. The Importance of data leadership. BI success factors. And much more.
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This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.
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Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.
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