Key Messages from the Gartner Analytics Conference

Last week, I attended the Gartner Analytics conference in Orlando. It was my first time attending a Gartner event. Granted, I have previously read their research. The scale of the event impressive. The speakers were top-notch, and the content was relevant to the challenges I deal with every day. To summarize the most important things learned, I developed 3 key messages from Gartner. They contextualize the 7 presentations I attended into important themes important for analytics at any company. Read on if…

• Your company is struggling with delivering data to users in a timely fashion.
• You would like to use analytics to be more innovative.
• Your analytics environment seems confusing and chaotic.

3 Key Messages

Now, this post is an introduction to my key messages. To explain them well, I will dedicate one post to each message. Here is a snapshot of the content.

Presentations

I derived these messages from the following events and presentations. For more information, conference check out the Gartner site.

• Monday
  • Keynote — Lead with Purpose to Achieve Clarity in a World of Ambiguity
  • The Foundation and Future of Roles and Responsibilities: From Control to Collaborate
  • From BI to AI: Build the Business-Drive Data and Analytics Architecture
  • Data Management Solutions for Analytics: Why Hadoop Won’t Replace Your Data Warehouse Anytime Soon
  • How to Start, Evolve and Expand Self-Service Analytics
• Tuesday
  • Keynote — Big Data: the Good, the Bad and the Ugly
  • Upgrade from Self Service to Enterprise Data Preparation for Analytics and Data Science Success
  • Your Data Culture is Changing – Do You Need DataOps
  • Driving Analytics Success with Data Engineering
  • Willful Disruption – Sevel Digital Disruptions You Might Not See Coming
• Wednesday
  • Creating a Culture of Innovation
  • The Foundation of Modern Data and Analytics Strategy

I also attended a few vendor presentations — Looker, eQube, Spotfire, and Alteryx — as well as 2 workshops on treating analytics as a team sport and data storytelling. Some of these presentations will make it into my key messages.

Links

• Organizing Analytics Chaos
• Governing Self-Service BI
• Drive Analytics Innovation with Efficiency