Kunal Jain — Published On April 6, 2016 and Last Modified On May 13th, 2016

Information & Analytics Leadership: Empowering People with Trusted Data

In our increasingly digital world, organizations that develop a robustly information-centric culture with the ability to recognize, manage and exploit their information assets will ultimately outpace the competition. To realize this you need to empower people to build the analytics they need to improve their line of business. Capitalize on these opportunities, whilst managing the risks, by ensuring you have the right team, with the right skills, the right roles and the right leader in every part of the business. This is more important than ever. Will you need a Chief Data Officer or a Chief Analytics Officer, if you don’t have one already? Should you be the person most likely to take on this role?

The Gartner Business Intelligence, Analytics & Information Management Summit 2016, between 7-8 June in Mumbai, is the place to discover the latest research and transformative insight designed to help you drive maximum business value from your own programs.

From positioning Master Data Management for success to advancing leading-edge analytics you’ll find the strategies and best practices to maximize the impact and business value of your own programs at the Gartner BI, Analytics & IM Summit 2016. Join us this year to get a practical update as well as a strategic view across the breadth of today’s IM and analytics priorities. Discover new governance practices you can use to ensure order and consensus without inhibiting innovation. Identify next steps to prepare for the Internet of Things (IoT) and understand the latest fast-moving trends such as advanced Multi-domain MDM, analytic marketplaces, data lakes, smart machines and Hadoop. Harness the full value of your information assets. Seize the analytic opportunities.


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View Agenda at a Glance

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View Analyst Guide

View Analyst Q&A with Bhavish Sood

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About the Author

Kunal Jain
Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

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