Rivvit-DQM

Monitor your data health in real time

Ensure your data is accurate and complete

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.

BENEFITS

Trust 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.

FEATURES

Continuously monitor and manage your data quality

Fast and Easy Setup

Configurable workflow for defining data sources, business rules, and tolerances

Data Governance

Enforced best practices to enable data stewards to ensure data integrity

Issue Detection

Automated detection of data errors and outliers leveraging proprietary rules engine

Exception Manageent

Embedded workflow to prioritize, watch, snooze, comment, and assign exceptions

Management Metrics

Dashboards highlighting the status and quality of critical data for key reporting dates

Audit Trail

Comprehensive audit trail capturing the lifecycle of exceptions over time

Ready to see Rivvit in action? We’d love to give you a tour. Let’s connect.