Drive digital transformation through data and analytics

News
21.07.2022
Business intelligence (BI) and data science landscape

When you try to make a decision, whatever your role in an organization, data is part of that effort. If you compare one piece of data to another, you are analyzing it. Every effort to improve that decision will necessarily include more data and more analysis. In digital business, every business moment is an opportunity to transform the relationship with and satisfaction of a citizen or customer — through a change in decision.

That might require new insight, at the right time, in the right form, and as automated as possible. In other words, D&A drives every decision — strategic, operational or tactical — across the enterprise.

Analytics, BI and Data Science Solutions
Drive digital transformation through data and analytics

Business intelligence (BI) and data science landscape

Increased consumerization of analytics technology and the need for communities are changing the analytics, business intelligence (BI) and data science landscape, accelerated by movement to the cloud. Data and analytics leaders must leverage the collective intelligence of the organization to compose effective and augmented analytics solutions.

  • By 2023, 30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.
  • By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.
  • By 2023, overall analytics adoption will increase from 35% to 50%, driven by verticaland domain-specific augmented analytics solutions.
  • By 2023, cloud architects will become key stakeholders when purchasing analytics and BI tools, as scalability and cohesive cloud ecosystems move into the top 3 key buying considerations.

Data Management and Infrastructure

  • By 2025, 50% of independent database management system (DBMS) vendors will cease operations, causing customers to adjust strategies and migrate back to their strategic DBMS suppliers.
  • By 2024, organizations that utilize active metadata to enrich and deliver a dynamic data fabric will reduce time to integrated data delivery by 50% and improve the productivity of data teams by 20%.
  • Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives.

The diversity of data production, consumption and persistence is driving interest in new ways to deploy, integrate and govern data across the enterprise. Data and analytics leaders must consider these predictions and their implications as they plan for a radically changed data management landscape.

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