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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Data analytics and data science are closely related.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Pillar #3: Analytics and reporting This pillar represents the most traditional aspect of data management, encompassing both descriptive and diagnostic analytics capabilities. The data platform function will set up the reporting and visualization tools, while the data engineering function will centralize the curated data.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes.

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Zoho adds AI and ML capabilities in Zoho Analytics 6.0

CIO Business Intelligence

AI in the workplace In the AI realm, Zoho has introduced a series of generative AI capabilities across its platform, including expanding the functionality of its AI copilot, Ask Zia, and adding contextual diagnostic analytics using Zia Insights. He enthused about the new mobile app, and new chart types in Analytics 6.0,

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? 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. Five years ago they may have.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Birst Named to Constellation ShortList™ for Cloud-Based Business Intelligence and Analytics Platforms for 4th Straight Time

Birst BI

The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. The result is a consistent enterprise view that enables users with self-service analytics through world-class dashboards, drill-down reporting, visual discovery, mobile tools, and predictive analytics.