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IT’s role in building a Data Culture: Analytics agility, proficiency, and community

Tableau

This is the final post in a three-part series about transformational analytics for the enterprise. In case you missed them, read the first on governance and data management that enables your digital business , and the second on modern analytics for fast decision-making. Support employees in growing their analytics skills.

Agile 91
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IT’s role in building a Data Culture: Analytics agility, proficiency, and community

Tableau

This is the final post in a three-part series about transformational analytics for the enterprise. In case you missed them, read the first on governance and data management that enables your digital business , and the second on modern analytics for fast decision-making. Support employees in growing their analytics skills.

Agile 88
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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services.

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Overcoming COVID: How Domo’s Vaccination Tracker Helps

Domo

In other words, the Vaccination Tracker works a lot like the COVID-19 Tracker, which, I should add, is one of just five projects in the running for a coveted Webby Award in the “Apps and Software: Data Management” category. To experience yet another example of what makes Domo’s modern BI platform a model of agility, click here.

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How to choose the best dashboard tool for your business

BizAcuity

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

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How to choose the best dashboard tool for your business

BizAcuity

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

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Top 10 Analytics Trends for 2019

Timo Elliott

They bring insights to users rather than forcing users to unearth elusive trends, and provide more intuitive interfaces that make it easier to get the data people need to do their jobs. Embedded analytics accelerates. The historical line between operational applications and analytics continues to blur.