The next leap forward in improving information agility is about rethinking who does the preparation work. Self-service data prep increases throughput and allows you to leverage the collective wisdom of the organization.
- By Adam Wilson
- September 29, 2016
How much to realistically expect from deep learning, how effective metadata can help analysts, and how to choose the right big data tool for your enterprise.
- By Quint Turner
- September 29, 2016
Creating data-driven decisions is not simply a case of adopting the right tools -- it's about offering the right data within the context of the applications people use every day.
- By Josh Martin
- September 28, 2016
Today’s articles address best practices for data storytelling, determining when NoSQL is a better alternative to Hadoop, and ensuring your enterprise is ready for new technologies.
- By Quint Turner
- September 28, 2016
Master these four key areas to successfully create presentations or display findings with self-service BI tools.
- By Julianna Cammarano
- September 27, 2016
How to decide whether you need a full-time data scientist, the core tasks of a data scientist, and how machine learning can make big data analytics more effective.
- By Quint Turner
- September 27, 2016
To get the most out of a NoSQL database, you must understand the best way to balance the advantages of static and dynamic data models.
- By David Loshin
- September 26, 2016
In today’s articles, learn how to monetize the Internet of Things, how IoT can help improve your consumer’s experience, and the largest mistakes enterprises make with BI.
- By Quint Turner
- September 26, 2016