For chief data officers, establishing a data-driven culture is more a matter of influence than control.

As the person at the forefront of an organization’s shift to data-driven business, the chief data officer (CDO) is expected to influence its culture — to make it more data-driven in its decision making, in its operations, and in the behavior of its people.

The Milk language from MIT offers better memory management for large, scattered sets of data

Memory management can be challenge enough on traditional data sets, but when big data enters the picture, things can slow way, way down. A new programming language announced by MIT this week aims to remedy that problem, and so far it's been found to deliver fourfold speed boosts on common algorithms.

As we live in a global information society, all companies and organizations have more access to data which are practical and usable and as a consequence the need for applying Data Mining techniques is imperative. These techniques though are based on sophisticated analytical methods and algorithms and as a result there is sometimes a gap between the organization’s ability to understand these Data Mining techniques and its ability to apply them to business needs.

Text Analytics Market; By End-User - Military and Defense, BFSI, Retail, Healthcare, IT and Telecom, Entertainment and Media, Others - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016 - 2024

LONDON, Sept. 13, 2016 /PRNewswire/ -- This report on the global text analytics market provides analysis for the period from 2014 to 2024, wherein 2015 is the base year and the years from 2016 to 2024 are the forecast period. Data for 2014 has been included as historical information.

When survival is on the line, size really does matter.
As the traditionalist data analytics professionals dig their heels in and refuse to give in to the Big Data deluge, it is fast becoming clear that the volume of evidence for the new movement is too substantial to deny. There is far more data in NoSQL stacks than there was in SQL, Hadoop has long since superseded Oracle in terms of volume and data “oceans” are now taking the place of data lakes.

Why aren't you seeing returns from your data project?

Big data is nothing new. The majority of companies now collect a wealth of information about their customers and processes, leveraging the insights to streamline operations, drive marketing, and ultimately increase profits.

The good news about free and open-source solutions for text analytics is that there’s a ton of them.

The bad news is that you’ll need a linguist working together with a data scientist to get some of them to work. “Some assembly required” is definitely true of many solutions for text analytics and sentiment analytics.

My friend Dan sent me this press release (since he knows that I like all things “Data Analytics” related). In the press release, “Boeing Announces Data Analytics Agreements with Six Airlines,” Boeing announces that they are providing advanced analytic solutions to several airline customers including: