Q&A Data Governance -Scott Slavens, Annalect

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 and implement new platforms that will allow us to store it and access it faster and 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 harm’s way of regulatory guidelines? How do we identify, assess, and evaluate our vendor’s data? What steps do we take to assure that processes are defined and implemented which will identify and remediate issues with data harmonization and integrations? The definition and implementation of data governance policy and procedures, as well as the supporting methods and 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, and Metadata Management, with a bonus discussion covering Ethics, Morals, and the Use of Data.

As a leader of Enterprise Information Management, Data Management/Governance, and Data Services Provisioning efforts across diverse industries, Scott has worked with both executive and operational leadership, successfully constructing and executing on strategic approaches to data management and governance. These efforts have resulted in establishing complete data management solutions to a broad spectrum of industries. Working with and leading business and technology, Scott has defined and implemented data architecture, data quality, and data provisioning approaches and processes supporting business intelligence and advanced analytics. Backed by an extensive background with data platform technologies, architectures, infrastructures and management tools Scott has been able to bring together People, Process, and Technology in order to provide the comprehensive data service strategy and design to bear on business needs.

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