Poor data quality creates operational inefficiencies and risk, and can have significant consequences from a financial, legal, and reputational perspective. Following data governance best practices, Rivvit-DQM offers a controlled framework to set up data quality rules, detect issues, and manage ongoing exceptions to give you confidence in the health of your data.
Get real-time insight into the quality of your data
Summary dashboards highlighting and segmenting exceptions by data domain, data steward, source system, and level of criticality to provide quick insight into patterns, trends, and root causes.
Manage exceptions as easily as an email inbox
With an embedded exception management workflow, Rivvit-DQM detects new exceptions and offers the tools needed to research, prioritize, and assign issues – all with a complete audit trail.
Focus on resolving issues instead of finding them
By eliminating the need to sift through massive data sets or manually review reports for data errors, users proactively address the root cause by improving upstream process controls.
Configurable workflow for defining data sources, business rules, and tolerances
Enforced best practices to enable data stewards to ensure data integrity
Automated detection of data errors and outliers leveraging proprietary rules engine
Embedded workflow to prioritize, watch, snooze, comment, and assign exceptions
Dashboards highlighting the status and quality of critical data for key reporting dates
Comprehensive audit trail capturing the lifecycle of exceptions over time
Grandview Analytics is a technology consulting and managed data services company serving financial institutions nationwide. We offer strategic advisory, technology implementation, systems integration, and data and analytics consulting services as well as managed data services powered by our Rivvit data management and reporting platform.
500 West Madison StreetSuite 1000Chicago, IL 60661
500 West Madison St.Suite 1000Chicago, IL 60661