The boom in the “information economy” has motivated many organizations to rethink the
way they ingest, manage, and consume data. And while data management practitioners have
long understood the value of data quality management, the C-level managers are also
rapidly recognizing data governance as a “must-have” for the enterprise. It is now rare to
see any big data, data quality, or master data management (MDM) initiative that is not
combined with the institution of a data governance program.
The conventional wisdom on data governance proposes hierarchies, operating models, and
processes for data policy definition and implementation. Yet in many ways, these processes
are viewed as bureaucratic and overwhelming when imposed by fiat, take a long time, and
in these cases become ineffective. Yet if the success of an MDM program is bound to data
governance, what is the best way to deploy them?
In this webinar, we consider a different approach that effectively redefines data governance
in the context of defining and implementing those data policies ensuring data usability to
meet consumer requirements. We will see that a consumer-based approach to data
governance not only reduces the time-to-value for governance and simplifies the necessary
processes, it also motivates adoption by both business and data management professionals.
Attendees will learn about:
- Understanding how business policies impact data utilization
- Business-oriented data governance
- Implications for master data management
- Design, development, and implementation impacts of business-oriented data governance
Speaker: David Loshin
Recognized world wide as an information management industry thought leader, David has dedicated many years to popularizing best practices for business intelligence, data governance, performance computing, master data management, predictive analytics, and data quality.