… for most companies.

Guest blog post by Manish Bhoge I am Back ! Yes, I am back (on the track) on my learning track. Sometime, it is really necessary to take a break and introspect why do we learn, before learning. Ah ! it was 9 months safe refuge to learn how Big Data & Analytics can contribute to Data Product. Data strategy has always been expected to be revenue generation. As Big data and Hadoop entering into the enterprise data strategy it is also expected from...

Insight platforms analyze data, create feedback loops that measure outcomes and provide the tools to experiment, learn, and optimize in real time.

Learn how to unlock data insights to drive real business results. The Power of Python. Job Opportunities with Data Science. Expanding your analytical capabilities with Power BI. Big Data Application in the Business Environment. Power of Power BI. What is Spark? Why move from Hadoop? Analyzing ...

People, organizations and things will continue to generate ever-larger volumes of data in the months and years ahead, but expect to see some changes in how that information will be put to use, not just by humans but by artificial intelligence (AI) as well. A recent survey by the analyst firm Gartner Inc., ...

Fire services, like most other public bodies, are awash with data. This data comes from sensors on equipment and fire engines and should be collected, integrated and used more effectively to give fire fighters (and the public) the information they need in real time.

How data mining, regression analysis, machine learning (ML), and the democratization of data intelligence and visualization tools are changing the way we do business.

Insight platforms analyze data, create feedback loops that measure outcomes and provide the tools to experiment, learn, and optimize in real time.

This new guide helps users map data warehousing concepts and terminology to those used in BigQuery.

The introduction of digital technology in healthcare systems might be viewed by health stakeholders in a positive light. However, policymakers are yet to address issues related to data collection and use that are considered crucial in the management of chronic conditions like diabetes.