Recently, we shared topics that Andrew White, Distinguished VP Analyst at Gartner, observed were top of mind at the 2019 Gartner Data & Analytics Summit in Sydney, Australia. We discussed the concept of “Trust in Data” and offered suggestions for presentations at Gartner 2019 Summit in Orlando that will help you add trust in your enterprise data.
The topics White identified as most commonly discussed at that Summit were:
- Governing data; master data management; data quality; trust in data
- Coping with silos and modernizing information infrastructure
- Developing a data, and/or analytics, BI and AI strategy (what to use, where and when)
- Data Literacy: the language, posture and methods used to explain how data drives better business outcomes
As I mentioned last time, none of these surprised me much. In many ways, these are precisely the topics we would expect (and hope) to hear being discussed amongst attendees at the event because they cut past the surface topics of “digital transformation,” or any other buzzword of the day, and go right to the heart of the business problems that today’s data leaders are addressing – which brings me to the other topic from this list that particularly caught my eye.
Developing A Strategy for Data & Analytics
One of the most common things we hear from customers is a need for meaningful, actionable data. They are craving accurate, up-to-date information about products, customers, suppliers and more, on which they can make informed decisions. While most conversations begin with a particular business need, like improving the quality and accessibility of a product catalog, better understanding of customers, or more easily managing and onboarding suppliers, as discussions evolve it is clear that most are searching for more. They are looking for a strategy that addresses the entire information lifecycle from integration/creation to publication/syndication to business intelligence.
They need Data Intelligence.
The Gartner Summit is aptly named – and the programming addresses topics that fuel a Data Intelligence strategy. However, too often, enterprises, vendors, and, even consultants, ignore the key part of the Summit’s name that contributes most to Data Intelligence. The “&”. Seriously, it’s not an afterthought. And, it’s not a convenient way to rebrand the convergence of the two, separate events that Gartner combined. It’s an integral part of any organization’s data journey. You see, achieving an intelligent data management strategy requires a focus on BOTH Data & Analytics.
We know. Sometimes it is difficult to focus on both sides of the “&”. There might be organizational boundaries that conflict with that focus. There is no silver bullet technology platform that addresses all of the elements required. And, again, too few of us acknowledge the need to view the information lifecycle in its entirety.
If you are going to be in Orlando for the event and want to start thinking about Data Intelligence, here are a few sessions you should consider:
MONDAY, MARCH 18, 2019 / 10:30 AM – 11:15 AM The Foundation and Future of Roles and Responsibilities: From Control to Collaborate Jorgen Heizenberg, Sr Director Analyst, Gartner
MONDAY, MARCH 18, 2019 / 10:45 AM – 12:15 PM Workshop: How to Link Data to Outcomes Andrew White, Distinguished VP Analyst, Gartner
MONDAY, MARCH 18, 2019 / 02:30 PM – 03:00 PM You Are Sitting on a Pile of Gold for Artificial Intelligence. It’s Your Data! Svetlana Sicular, VP Analyst, Gartner
TUESDAY, MARCH 19, 2019 / 11:30 AM – 12:15 PM How to Elevate Your Digital Business With Business-Led Data and Analytics Melissa Davis, Sr Director Analyst, Gartner
WEDNESDAY, MARCH 20, 2019 / 09:30 AM – 10:15 AM The Foundation of a Modern Data and Analytics Strategy Mike Rollings, VP Analyst, Gartner
WEDNESDAY, MARCH 20, 2019 / 11:30 AM – 12:15 PM Decision Modeling: Bridging Analytics and Business Processes for Optimum Business Outcomes W. Roy Schulte, Distinguished VP Analyst, Gartner
WEDNESDAY, MARCH 20, 2019 / 01:40 PM – 02:00 PM EnterWorks: Combinatorial IntelligenceTM – Using AI, ML & AR to Differentiate Steven Keith Platt, Director and Research Fellow, Retail Analytics Council, Northwestern Univ.
WEDNESDAY, MARCH 20, 2019 / 03:30 PM – 04:15 PM The Future of Data and Analytics: Tales and Trends From the Center to the Edge Frank Buytendijk, Distinguished VP Analyst, Gartner