Data Estate Modernization

Data Estate Modernization

Many organizations today are experiencing the growth pains of a legacy data landscape and architecture for managing their analytics and reporting needs.  Many of the issues related to this obsolescence derive from the now outdated architecture of the enterprise data warehouse that no longer delivers digital value or data insights to drive business innovation.  While these legacy systems originally provided significant value by allowing the integration of data from multiple sources, provided a basis for better decision making, and allowed for robust enterprise reporting, they are no longer up to the task of driving that same business value with newer and more modern data sources. "Most existing legacy enterprise data warehouse systems were originally designed and architected for online analytic processing (OLAP) and reporting systems. These systems (many of which are outdated today) were often architected for highly normalized and structured data only".  Forbes Magazine - 2019 Other challenges with legacy data warehouses include things such as:  heightened risk of...
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