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 are answers to some of the most pressing business intelligence and advanced analytics questions as well as highlighted sessions at this year's conference.

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.

Gartner Business Intelligence and Advanced Analytics Predicts

  • By 2021, the CDO role will be the most gender diverse of all technology-affiliated C-level positions, with 33% females up from 18% today.
  • By 2022, 30% of leading organizations will formally adopt infonomics practices and value their information assets, maintaining a balance sheet for internal purposes.
  • Through 2022, only 20% of organizations investing in information governance will succeed in scaling governance for digital business.
  • By 2021, distributed, semantic processing for data management and integration will neutralize location of data as a dominant planning constraint for information strategies.
  • By 2022, over half of data and analytics services will be performed by machines instead of human beings.

Business intelligence and advanced analytics spotlight sessions:

  • Deliver Analytics Moments From BI to AI to Drive Your Digital Business - Joao Tapadinhas, VP Analyst Gartner
  • Top 10 Data and Analytics Technology Trends That Will Change Your Business - Donald Feinberg, Distinguished VP Analyst Gartner e Joao Tapadinhas, VP Analys Gartner 
  • The Future of Data Management - Donald Feinberg, Distinguished VP Analyst Gartner


View Aligned Sessions