Is your data warehouse showing its age? It may be time to modernize.

Posted in: Business Insights

As technology evolves, it’s imperative for businesses to keep their data storage management methods up-to-date. The ultimate goal is to keep costs low while constantly improving scalability, supporting an increasing number of data types, and integrating enterprise data with external data. A modern data warehouse may help you check off all these boxes.

According to CIO Magazine, “Getting your data warehouse modernization strategy right will help your enterprise increase the percentage of data needs being supplied to 90 per cent. It is important to modernize a data warehouse for an enterprise to stay forward, competitive, and relevant in the industry.”

Clearly, data warehouse modernization is the way of the future, but chances are, your current data warehouse is not up to the challenge of storing and retrieving data in an efficient and costly way. It is likely storing data locally and relying on time-consuming batch reporting. (Keep in mind that a data warehouse can be modernized either on the cloud or on Hadoop.)

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There is a good possibility that your current warehouse is also not capable of:

  • integrating and analyzing larger volumes of structured, semi-structured, and unstructured data generated.
  • sorting through social and mobile sources and taking advantage of the wealth of information available from IoT-enabled products.
  • answering more forward-looking or predictive questions that are now a basic requirement of running a competitive business.

Data Warehouse Modernization solves many of these issues. But the big question is whether or not it’s the right time for your business to make the switch.

We’ve put together an eBook that highlights ten signs your business needs to start planning your move over to modernized data warehouse architecture. If any of these points ring true, then now may be the time to make the move:

  1. You’re being asked to integrate more data sources into your warehouse. The proliferation of SaaS has resulted in silos of data spread across multiple systems in multiple locations. Traditional data warehouses aren’t designed to easily integrate data from SaaS or external data streams.
  2. You’re being asked to bring in more data types. The traditional data warehouse isn’t well equipped to accommodate new data types, which can include semi-structured and unstructured data including text, video, IoT and clickstream data.
  3. Data volumes in your organization are increasing–exponentially. The need to support escalating data volumes is putting pressure on data warehouses to scale cost effectively, something they were not designed for.

To learn more about whether Data Warehouse Modernization is right for your business, download our “10 Signs That It’s Time to Modernize Your Data Warehouse” eBook.



About the Author

Lynda Partner is a self-professed data addict who understands how transformational data can be for organizations. In her role as EVP of Data and Analytics, Lynda focuses on Pythian’s services that help customers harness the power of data and analytics and holistically manage their data estate.

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