"No one ever made a decision because of a number. They need a story."- Daniel Kahneman
On 5-9th March, I attended the Gartner Data & Analytics Summit in Texas. A prestigious event for data-centric leaders and organizations. The conference focuses on harnessing the power of information to forge connections, create value and drive the digital business forward. This event gathered all the leaders in this field such as, Microsoft, Tableau, CliQ, SAP, ThoughSpot, SaS, IBM and many others.
This event covered a wide array of topics related to data and analytics such as :
- Building and executing an effective, holistic data and analytics strategy
- Data science and predictive analytics
- Data governance and quality
- Internet of things
- Artificial intelligence
- Customer analytics
- Monetization of data
- Role of the chief data officer & chief analytics officer
This was a very well organized conference, where the attendees had a lot of support from Gartner. There were a multitude of tracks, sessions, an exhibit where demos were provided. I also had opportunities to interact with leading professionals.
I had the pleasure of meeting with the Microsoft Power BI program manager, Adam Wilson. During the meeting, I showed him some of the things we are experimenting/testing with. He was impressed by our plans and how we will be using the tools in our solution. He said “Oh man, you made my day!..it’s refreshing to see all of this”. I even got lucky to take my picture with Kamal Hathi, the General Manager for Microsoft Power BI's business. (Picture to the right).
Data and analytics are without a doubt the new big bets for all the leading companies today. Organizations taking this bet are growing at 6x the growth rate compared to the rest of the IT market. Amazon, Uber, and Airbnb don’t own any inventory. They have data and they make sure they are very good with it!
Here's a sample of great insights we got from the conference:
- Data literacy needs to be a strategic goal of any leading organization.
- By 2020, organizations that offer users access to a curated catalog of internal and external data will realize twice the business value from analytics investments than those that do not.
- By 2020, natural language generation (NLG) and AI will be a standard feature of 90% of modern BI platforms.
- By 2020, 1 out of 10 data scientists will not be a human and 30% of today's data scientist tasks can be automated.
- Companies using predictive analytics have 73% higher sales than others.
Overall, this was a very valuable conference that I highly recommend to any BI or analytics professional. Great learning and networking experience!