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This includes databases like Microsoft SQL server, IBM DB2, etc., data lakes & warehouses like Cloudera, Google Big Query, etc., Secure DataManagement: IT security, cybersecurity and privacy protection are vital for companies and organizations today. and business intelligence systems like Looker, Power BI, etc.
Integrating data from these sources is fraught with challenges that can lead to data silos, inconsistencies, and difficulties in accessing real-time information for reporting. A whopping 82% of SAP users agree that poor datamanagement and integration represent the biggest challenges to financial reporting, forecasting, and compliance.
These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP datamanagement to ensure data reliability and effectiveness in decision-making.
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