Conference Deep-Dive:

Advanced Data Analytics

Advanced Data Analytics 

Take a deeper look into analytics & business intelligence before heading to the summit with a selection of Gartner content including smarter with Gartner articles, webinars and predicts. 

 

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Related Tracks on Advanced Data Analytics

Track E: Line of Business Analytics: Make it Relevant 

 

As organizations adopt ‘digital-first’ business models and strategies, data and analytics investments are increasingly driven by line of business leaders. The world of LoB leaders keeps changing which brings with it an ever increasing thirst for data and analytics. A necessary condition of success is the ability to form partnerships between business and data and analytics teams, something that is now more pressing than ever.  This track discusses vertical-industry, domain-specific and advanced data and analytics with topics including supply chain analytics, , customer analytics, HR analytics, and IoT analytics.

 

Sample List of Sessions:

 

  • What You Need to Know About Customer Analytics
  • Master Data in Service of Digital Commerce
  • AI Enables Sales Teams to Drive Revenue Growth
  • How to Elevate Your Digital Business With Business-Led Data and Analytics

 

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Watch These Data & Analytics Challenges and Trends 
Data and analytics fuels digital business and plays a major role in the future survivial of organizations worldwide. Jorgen Heizenberg, research director at Gartner, outlines the current opportunities and challenges facing D&A leaders around the world.
 
 

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Key Trends of Advanced Analytics 
The excitement around advanced analytics is increasing, as evidenced by growing market figures and M&A activity. This webinar will help you navigate existing technologies, upcoming trends and user adoption.
 
 

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Gartner Predicts:
  • By 2021, distributed, semantic processing for data management and integration will neutralize location of data as a dominant planning constraint for information strategies.
  • By 2020, most D&A use cases will require connecting to distributed data sources, leading enterprises to double their investments in metadata management.
  • By 2022, 60% of D&A cloud vendors will use only third party infrastructure as a service (IaaS) solutions and will stop running their own infrastructure, up from 30% doing this today.

 

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