Digital business must be constantly aligned with its operations and environment, which puts data and analytics leaders at the heart of any high-performance organization.  IT executives must learn to use data, information and analytics more easily and more effectively to stay competitive. 

At Gartner IT Symposium/Xpo®, we will explore how to move to a culture of self-service business analytics in a world of big data, with machine learning techniques, natural language interfaces and a focus on data storytelling to communicate business meaning.

Below is a Gartner Q&A that answers some of your most pressing business intelligence and advanced analytics questions as well as a the 2019 Gartner opening keynote.

2020 sessions include:

  • Top 10 Data and Analytics Technology Trends That Will Change Your Business
  • The Future of Data and Analytics Is Cloud!
  • How to Optimize Data and Analytics Investments to Achieve Business Value … Finally
  • When Worlds Collide: Augmented Analytics Combines Analytics and Data Science for High Impact

Key business intelligence and advanced analytics topics:

  • How to use data & analytics to improve efficiency
  • Latest data & analytics trends
  • Transition of data & analytics to the cloud
  • Identify and prioritize data & analytics investments

Meet with Gartner analysts specializing in business intelligence and advanced analytics:

As part of your experience on site at Gartner IT Symposium/Xpo, you can meet privately with a Gartner expert to discuss any topic of your choosing. One-on-Ones give you the ability to get personalized, expert advice that you can take back to the office. Explore the Gartner experts who specialize in business intelligenct and advanced analytics.

Business intelligence and advanced analytics Gartner experts:

  • Frank Buytendijk - Distinguished VP Analyst
  • Carlie Idoine - Sr Director Analyst
  • Rich McAvey - Distinguished VP Analyst
  • Adam Ronthal - Sr. Director Analyst

Q&A with Gareth Herschel, VP Analyst on business intelligence and advanced analytics

The biggest change has been the continued and rapid growth in interest in augmented analytics. For organizations to move to a culture of self-service business analytics in a world of big data takes more than just the right analytics skills, it takes embedded machine learning techniques, natural language interfaces and a focus on data storytelling to communicate business meaning.  

Too many organizations are getting distracted by the “shiny new thing of AI” without recognizing that the basics of analytics and business intelligence (BI) not only deliver huge value in themselves, but are also a necessary component of an analytics strategy that stretches from traditional reporting to the undoubted potential of artificial intelligence (AI). Although most organizations have some type of analytics and BI capability already, thinking of this as a mature space overlooks continuous improvements in the automation of analytics processes that are delivering new insights across the organization at a previously unobtainable depth, speed and reach.

The value of analysis lies in its ability to challenge assumptions and change the status quo. As analytics and BI become ubiquitous across the organization, all parts of the business have the chance to recognize when old ways of thinking are no longer sufficient for modern digital business and so refine their decision making in the light of new data. In this era of continuous change, the need for a consistent, accurate way to uncover and establish new opportunities and challenges, and then establish a strategy to meet them is critical.

IT executives will see a variety of thought-leading frameworks that will put in context the mixture of real-world examples and survey data that showcase the best practices and actions other IT executives across a variety of industries and business models are pursuing.

2019 Gartner IT Symposium/Xpo Opening Keynote