Presented by:

D4e341b78a3077732e4ae3ac1b03a4b7

Tom Hirata

Self/Data Mandala
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Too often, people don’t know what data mean. Metadata repositories are incomplete or incomprehensible. Word-of-mouth is the de-facto repository. Effort and resources (a lot) are required to fix the problem. And both business and technical experts are needed. Informal “repositories” are no longer workable.

The emerging privacy regulations like CCPA and GDPR demand an inventory of data and its characteristics. Deep learning tools can generate wasteful or even dangerous results if bad, weak, or redundant data are input. Regulatory filings must be accurate and traceable.

Separately, data create value only when meaningful and accessible to people. But today’s technology infrastructure places multiple systems, jargon, and support teams between data and the business. So it’s harder to find the right data.

Data governance is a business capability to leverage and protect data as a strategic asset. Data governance fosters cross-functional engagement by the business, technology, and analytic teams. Metadata management is a key cross-functional process, including data type, data description, and data lineage. Metadata are used by analytics and data science to create value,

An application for Design Thinking to Metadata Management is presented. Design thinking is a people-centered approach to problem-solving that is driving the “business end” of data initiatives. Applying design thinking to data governance can align various data management activities to standards of quality and meaning throughout the life cycle. Design thinking creates a people-centered vision of a holistic process. Then functional teams can go forward grounded in a common vision and language.

Date:
2019 July 19 10:10
Duration:
40 min
Room:
Room
Conference:
Philly 2019
Language:
Track:
Dev
Difficulty:
Medium