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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality. Consider how it looks to nontechnical executives when every digital transformation initiative has customized dashboards, different KPIs, and metrics with underlying data quality issues.

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How to Design Better Dashboards: a Visual Guide

Sisense

All these metrics will help the reader understand the metrics around how users interact with their trial software. The dashboard creator also provided an important metric (Total Hours on Site) in the top-left corner and filled the dashboard with charts that give more context to that number.

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Operationalize automation for faster, more efficient incident resolution at a lower cost

IBM Big Data Hub

With IBM Instana and IBM Turbonomic, you can take integrated, granular metrics and dynamic topology from Instana to fuel action recommendations from Turbonomic. Contextual data: Context is king, but it’s rarely achieved given our current IT systems.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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The Enterprise AI Revolution Starts with BI

Jet Global

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly. So how is the data extracted?

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The Future of AI in the Enterprise

Jet Global

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

Introducing generative AI-powered data descriptions With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analysis, which enhances data discoverability and cuts down on back-and-forth communications with data producers.