Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Practice in which incremental code changes are made frequently and reliably
Compare two database definitions and apply the differences from the source to the target
Collaborative data management practice
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
4DAlert allows you to customize alert criteria and matching conditions to reconcile data between multiple source systems and target systems and deliver alerts to predefined owners when data goes out of sync beyond a certain threshold.
Reconcile data from multiple source systems automatically at regular interval Why waste hundreds of hours of manual effort on data reconciliation if there is an automated option? With reconciliation still, a labor-intensive process, especially when your analytics platform gets fed from multiple source systems within your landscape and data load happen at a higher frequency, 4DAlert allows you fully automate data reconciliation between multiple source systems and your analytics platform. Most important is a data steward or power user or member of the BI team, you define what to reconcile and when to reconcile, and 4DAlert does the rest.
Read More100’s hours of manpower spent on reconciling data between source and target.
Automate data reconciliation and save human labor.
Now able to reconcile everything everyday.
100’s (what about 1000’s) of data reconciliation on daily basis.
Manual reconciliation is hard and time taking, so can’t be done frequently.
Integrate reconciliation process into your daily ETL runs.
Reconciling using excel is never easy, tracking history is even hard.
Store and access all reconciliation history in one place and trace it as necessary.
As people change role, it become difficult to teach each person on what and how to reconcile
Automated AI and ML reconciles itself and learns the pattern
Dealing, with billions of rows? Not possible to reconcile everything always. No issues. 4DAlert solution allows data stewards, power users, and the IT team to customize criteria and define segments that are most important for the business. Solutions scans datasets automatically detect anomalies as they cross a certain threshold and alert owners as necessary.
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