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Automated testing can help you identify and eliminate many potential data errors before they become an issue. These tests look for discrepancies between data sets and any unexpected changes in the flow of data. Automated testing can also help you identify and fix problems quickly before they become significant issues.
Since it is often easy to lose track of what really matters when so many KPIs have to be monitored, an online reporting tool will safely keep an eye on your data and anticipate any fluctuation and change – and alert you when it veers off course. How will AI improve SaaS in 2020?
These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. DataGovernance: Data mapping tools provide features for datagovernance, including version control and data quality monitoring. Compatible with Big data sources.
Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.
For example, monitoring how much time your team is spending collating a client’s financial data. Automating client and team communication: streamline team communication and keep clients informed during the entire process. For example, sending automated financial statements at the end of each month.
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