The Forecast for Data Architecture in 2021

From hybrid and multicloud, to real-time analytics and AI, a strong data architecture strategy is critical to supporting an organization's goals.

Greater speed, flexibility and scalability are common wish-list items, alongside smarter data governance and security capabilities.

Many new technologies and approaches have come to the forefront of data architecture discussions.

DBTA recently held a special roundtable webinar with Danny Sandwell, director of product marketing, erwin, Inc.; Paul Lacey, senior director of product marketing, Matillion; and Michael Distler, senior Director of Product Marketing, Qlik, who discussed the top trends in modern data architecture for 2021.

A modern data architecture is expected to be innovative and inspiring; agile and responsive; and compliant and secure, according to Sandwell. Fifty percent of organizations lack sufficient AI and data literacy skills to achieve maximum business value.

And 85% of the time is spent on data prep, while only 15% is spent on analysis, hampering data-driven digital transformation, Sandwell said.

He recommends an insight driven data architecture with intelligence, automation and governance at the core that is as adaptable as the business it serves.

Lacey said there are several trends ahead in 2021 including:

  • Data pipeline commodification
  • ML/AI functionality moves into the CDW
  • Re-advent of Data Lakes
  • Rise of data fabrics
  • Continued emphasis on data governance
  • CDOs become TechStack owners

Up-to-date and business-ready data are more important than ever, said Distler. It’s essential to capture and synthesize alternative data. Business process re-engineering takes center stage with collaboration coalescing earlier in the chain.

An archived on-demand replay of this webinar is available here.