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3 Shifts in the Modern Data Environment And What it Means for IT Leaders

Providing organizations with reliable data for better decision-making is an undertaking that has not fundamentally changed in decades. Despite massive technology advances and new tactics, the IT organization managing data infrastructure today still has the same overall mission: moving data from its moment of creation and making it accessible and understandable by decision-makers at the moment of need.

eBook | Presented by Tableau Software

6 Myths of Moving from Traditional to Modern BI

It's no myth or mystery that digital transformation has created massive influx of information; data is everywhere, all the time, and it's not slowing down. Today's analytics platforms not only help organizations get more value from their data, but empower more people to visually explore data and share their insights. In this eBook, we'll explore common myths and misconceptions about moving from traditional to modern BI.

eGuide | Presented by Tableau Software

Evaluation Guide: How to choose the right modern BI & analytics platform

This evaluation guide aims to support IT organizations as they evaluate and select a modern BI & analytics platform suitable for a broad, enterprise-wide deployment.

Governed self-service analytics at scale: An overview of modern enterprise analytics

Self-service analytics empowers organizations to fully leverage their data, be it for saving lives, driving supply-chain efficiency, or spotting new opportunities. The goals of self-service analytics are simple: 1. Empower people to ask and answer their own questions with data 2. Enable people to easily share their insights with their team and the rest of the organization 3. Ensure that the data driving the decisions is accurate Download this whitepaper to learn about the power of self-service analytics.

Redefining the role of IT in a modern BI world

How IT can evolve from producer to enabler and foster collaboration around analytics.

Tableau and Big Data: an Overview

Data is everywhere—so is the demand to access and analyze it. “Big data” as a buzzword may have settled down, but the “three Vs” of big data—volume, variety, and velocity—apply more than ever to big data analytics use cases.

Governed self-service analytics at scale

Today’s organizations seek an approach to self-service analytics that balances the needs of both IT and the business. This modern approach to enterprise analytics ensures both governance and business agility.