Keshav Singh

Introduction to Scorecards in Informatica Cloud Data Quality | A Beginner’s Guide

In Informatica Cloud Data Quality (CDQ), a scorecard is a tool used to assess and monitor data quality by providing a visual representation of the validity of data within a dataset.

By using scorecards, organizations can ensure better decision-making through trusted and reliable data. This tutorial will walk you through the basics of creating, interpreting, and leveraging scorecards to improve your data quality management process.

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1. Introduction to Scorecard InventModel Technology Solution +91-98219-31210 support@inventmodel.com Agenda Informatica Cloud Data Quality(CDQ)
2. InventModel Technology Solution +91-9821931210 support@inventmodel.com In Informatica Cloud Data Quality (CDQ), a scorecard is a tool used to assess and monitor data quality by providing a visual representation of the validity of data within a dataset. It aggregates metrics from data profiling results, allowing users to evaluate the effectiveness of data quality rules and track improvements over time. InventModel Technology Solution +91-98219-31210 support@inventmodel.com Introduction to Scorecard
3. Key Components of a Scorecard: Metrics: These are individual data quality indicators derived from profiling results, such as the percentage of valid values in a column. Metric Groups: Metrics can be organized into groups to represent related data quality aspects, facilitating a structured assessment. Thresholds: These define acceptable ranges for data quality, categorizing data into good, acceptable, or unacceptable states. Cost of Bad Data: Each metric can have an associated cost to quantify the impact of poor data quality, aiding in prioritization and remediation efforts. InventModel Technology Solution +91-98219-31210 support@inventmodel.com Introduction to Scorecard InventModel Technology Solution +91-9821931210 support@inventmodel.com
4. Benefits of Using Scorecards: Visual Assessment: Scorecards provide a clear, graphical view of data quality, making it easier to identify areas needing attention. Trend Analysis: They allow for tracking data quality over time, helping to measure the impact of data quality initiatives. Informed Decision-Making: By highlighting data quality issues, scorecards support better decision- making and resource allocation for data governance. InventModel Technology Solution +91-98219-31210 support@inventmodel.com Introduction to Scorecard InventModel Technology Solution +91-9821931210 support@inventmodel.com
5. Thank You ! InventModel Technology Solution +91-98219-31210 support@inventmodel.com