We spend countless hours working to determine how we will analyze data in order to create decision-able information. We collect gigabytes, terabytes, even petabytes of data & implement new platforms that will allow us to store it & access it faster & cheaper. But, how do we know that our data is valid? How do we determine whether the data we collect does place our organization in harms way of regulatory guidelines? How do we identify, assess, & evaluate our vendors data? What steps do we take to assure that processes are defined & implemented which will identify & remediate issues with data harmonization & integrations? The definition & implementation of data governance policy & procedures, as well as the supporting methods & procedures for operationalization, are how we develop confidence that our data can be utilized for the intended purposes of the organization.
Through the use of an actual corporate use case, Scott Slavens will guide you through solutions for Data Governance, Data Quality, Vendor Data Management, & Metadata Management, with a bonus discussion covering Ethics, Morals, & the Use of Data.
As a leader of Enterprise Information Management, Data Management/Governance, & Data Services Provisioning efforts across diverse industries, Scott has worked with both executive & operational leadership, successfully constructing & executing on strategic approaches to data management & governance. These efforts have resulted in establishing complete data management solutions to a broad spectrum of industries. Working with & leading business & technology, Scott has defined & implemented data architecture, data quality, & data provisioning approaches & processes supporting business intelligence & advanced analytics. Backed by an extensive background with data platform technologies, architectures, infrastructures & management tools Scott has been able to bring together People, Process, & Technology in order to provide the comprehensive data service strategy & design to bear on business needs.