Gartner Releases Top Ten Trends in Data Analytics for 2020
“By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.”
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Trend 1
Smarter, Faster, More Responsible AI
New approaches to artificial intelligence and machine learning are starting to provide the methods need to make systems adaptable and flexible to more complex business situations, finally starting to address the hype — that systems that can learn from experience.
Trend 2
The Decline of the Dashboard
Modern analytics and business intelligence (A&BI) platforms are failing the majority of our workforce – our frontline workers – because insights are not contextualized, easily consumable, or actionable. As a result, new user experiences are emerging in a few new ways:
- Extensions to the current dashboard-centered user experience.
- Conversational capabilities embedded enterprise applications
- Question-and-answer style chatbots
- New dynamic user experiences that are characterized by auto-generated data stories based on tracking business data and identifying meaningful changes for each user
Trend 3
Decision Intelligence
Decision process automation platforms can be used across almost every industry vertical including banking, insurance, supply chain, CRM, manufacturing, energy, utilities, healthcare and retail applications. However, decision intelligence requires a demanding variety of skills, including business rules, machine learning, decision modeling, architecture and integration.