Proven processes for improving data quality

DataPARC is a proven process enabled by a complete set of tools to take a proactive and holistic approach to managing Data. Discover and explore your data to set metrics, establish the company process, run audits and assign action items to drive data improvements. PARC your data with DvSum to maximize and accelerate value, boost productivity and save money.

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The end goal of a data quality process is increasing and sustaining high quality data. With DataPARC, the process is built into the solution to establish a schedule of audits, assign ownership and actions and manage progress. The Data Quality scorecard allows stakeholders and data owners to set targets and milestones to monitor the progress to achieving the goals. Personalized email digests provide immediate visibility and accountability for data quality performance, while built-in issue tracking drives actions and ownership.

Data Governance