This week’s roundup looks at how companies can become more data-driven, including the need to automate, reviews of ten powerful data visualization tools, setting expectations with machine learning, and how nonprofits can put their data to work for them to work smarter, not harder.

Automation of analytics has become a necessity: Oliver Schabenberger

by Sanjay Gupta, featured on Livemint

Read an email interview with Oliver Schabenberger, executive vice president, chief operating officer and chief technology officer of SAS Institute Inc, where he discusses the evolution of analytics, and how machine learning and other cutting-edge advances can help companies become data-driven organizations.


10 Powerful Data Visualization Tools

by Vandita Grover, Freelance Contributor, featured on MarTech Advisor

Data Visualization tools represent data in a visual form so that you can make sense of it faster and within shorter time frames thereby increasing your productivity. These tools also aid in analysis and decision making by bringing out hidden trends and correlations that might have been missed in layers of spreadsheets and reports. There is a range of data tools and it’s difficult to pick the best, as each one does things differently.


What Machine Learning Isn’t

by Aaron Edell, Co-Founder and CEO at Machine Box, Inc, featured on KDnuggets

The biggest challenge to AI adoption is expectation. Going about integrating machine learning with the right set of expectations will lead to a much more successful outcome than being misled about what AI can do for you. There are limits to what the state-of-the-art is capable of, which doesn’t mean that there aren’t tons of perfect use cases for machine learning, but does mean that you have to go into the process with your eyes open. Explore specific use cases.


Nonprofits: Work Smarter, Not Harder

by Andrea Steffes-Tuttle, Director of Marketing at Lityx

With tight budgets, small staffs, and limited resources, it can seem like there are never enough hours in the day for nonprofits. And while some charitable organizations have embraced collecting data about their donors, far too few have leveraged the true power of advanced analytics to position them for a sound financial future. By using their own data to uncover ways to save costs, labor, and effort, nonprofits can discover more time to spend on what matters most—their mission. It’s all a matter of becoming more targeted and strategic in their thinking.



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