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TDWI Upside - Where Data Means Business

Practical Data Science


How to Improve Big Data ROI

ROI may look to be a high bar for specific data projects, but a holistic approach to data can provide ample opportunities to recoup big data technology investments.

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.

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.

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.

Embedding and Operationalizing Analytics for Action: Three Important Takeaways

Close to 50 percent of TDWI survey respondents said they embedded models or algorithms into business processes in some way. What can we learn from these respondents?

Q&A: Use Cases Illustrate Value of Data Lakes

Data lakes are a relatively new concept in the age of big data. In this interview, the second of two parts, Teradata’s Dan Graham and MapR’s Steve Wooledge offer up plenty of examples of how customers are using data lakes.

IoT: Game Changer for Data Science

Growth in IoT will put pressure on organizations to step up their data science so they can develop and deploy analytics that tap the new data streams.

Q&A: Understanding Data Lakes

Experts from Teradata and MapR discuss what data lakes are and how you can benefit.

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