TDWI Articles

Money-Making Analytics (Part 3): Choosing an Action-Oriented Decision-Making Framework

How can you ensure that your analytics will drive users to make decisions? Now that you’ve finalized your strategy and selected the right technology, your third step will help you create analytics that enable taking action.

Infographic: Operationalizing and Embedding Analytics for Action

Where are enterprises embedding analytics into devices? Who's using these analytics and what types of data are being examined? These and other key questions are answered in TDWI's latest infographic.

Data Digest: Data Scientist in His Own Words, Efficient Compliance, and Selecting the Best Infrastructure

A real data scientist explains what he does and what his job is like, plus 9 tips for making a big data strategy effective and compliant, and selecting the best infrastructure for your enterprise.

Data Hunting: Mastering the Big Data Challenge

The data is out there. It’s time to use it effectively to bring your big data strategy to life.

Data Digest: Where's Your Data, Prep Data Scientist, and Diving into Data Lakes

A call for a new enterprise infrastructure focused on easy access to all collected data, hiring a prep scientist, and the dangers of diving into a data lake without a plan.

Money-Making Analytics (Part 2): Evaluating the Technology and Tools

Now that you have finalized your analytics strategy and key stakeholders, you must choose the best technical solution for your company. Learn how to establish the right technical elements to enable the existing company culture, and not fight it.

Data Digest: Data as Commodity, Understanding Data Scientists, Data-Driven BI

Articles discuss the new data economy and how to navigate it, finding and understanding data scientists, and a new shift in strategy when it comes to data.

Money-Making Analytics (Part 1): Soul Searching and Analytics Strategy Selection

The first step is most important and focused on understanding your company culture, the people you need to involve in an analytics project, and the questions you need to ask provides a framework for conceptualizing and prioritizing your analytics and your project road map.

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