RESEARCH & RESOURCES

Engaging the Business: Agile, Collaborative Approaches to Data Usability

TDWI Speaker:David Loshin, President of Knowledge Integrity

Date: Tuesday, December 15, 2015

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

The term “data-driven” has become an accepted principle for modern organizations, but to drive modern, agile businesses, each data consumer’s view of enterprise data must both align with individual data quality and usability criteria and remain consistent with other data users in the organization. While traditional data quality/data preparation tools were intended to ensure accuracy and trust, the conventional wisdom centered on a technical, IT-centric usage model.

However, two emerging realities are rapidly changing the way we think about business data usability: many data sources and exploding data volumes, and a growing sophistication regarding information and analytics among business users. Empowering business users to control and satisfy their own data usability needs implies changes to the requirements for data discovery, profiling, and quality tools. It means providing tools allowing users to eliminate the dependence on the IT department while letting them examine the data, define their own data expectations, and monitor the conformance to their unique sets of business rules.

We are beginning to see the segregation of duties as part of an agile, collabortive activity. Business owners are increasingly expected to be accountable for their data sets’ compliance with business rules, while, the IT role has transitioned to infrastructure management to ensure that business rules can be executed. In this webinar we examine the changing face of data preparation and data quality tools.

Attendees will learn about:

  • Changing requirements for data preparation, data profiling, and data quality
  • Collaboration between business and IT staff
  • Shifts in methods of interaction for data usability tools
  • Pushing data stewardship to the business edge
  • Accountability for managing data risks

David Loshin

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