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Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.
So make sure you have a culture that builds the change muscle, and you will always have a way to stay ahead of the evolving data landscape.”. In terms of solutions, Gene De Libero, Chief Strategy Officer at GeekHive , recommends developing a masterdatamanagement (MDM) strategy.
Shortcomings in Complete DataManagement : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end datamanagement platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.
This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. This eliminates the need for sales staff to use BI reports and allows them to focus on closing deals.
It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of masterdatamanagement is becoming a key priority in the business intelligence strategy of a company.
In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on MasterDataManagement (MDM), the creation of a single, reliable source of masterdata, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.
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