Second in the 3 part series. The first post covered a brief overview of search technology and the need for data discovery. This article covers some use cases and problems that DD would help solve.
Data Discovery would be a useful in. Data discovery would be useful whenever an analyst wants to perform adhoc analysis without the need to write SQL queries or to follow detailed processes to identify issues and improve customer satisfaction.
There are innumerable use cases for Data discovery which are not immediately apparent when a business purchases a data discovery tool/product. But let see the difference between traditional BI and data discovery platform and how they differ.
Information Centric project need more data analysis that ever. Discovery is the first phase of any information centric projects and DD would satisfy so many use cases that are relevant to the management.
Some Common Problems/Use cases that DD can solve
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DD can help organisation which face difficulty in quickly analysing all the data sources and the data needs. Since these environments are constantly changing it becomes a tedious process to document all the changes.
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DD can help companies in data identification and reduction of data redundancy. Simplifying environments can significantly reduce costs for operational support, while reducing the cost of integration projects.
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Often time it becomes a big nightmare for data analyst trying to discover or unearth complex business rules and transformation logic between two data sources to solve a specific customer problem. Data discovery eliminates part of the problem by highlighting the data that might be the root cause of the problem.
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Data discovery tools help do adhoc analysis on any sets of data without the need for a developer or IT intervention. Corporate IT environments are complex, and it is costly to create an inventory.
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DD helps Deliver targeted, user-centric experiences in a scalable way and Allow business users to change the customer experience and dynamically push updates—without engaging IT.
After all, in this era, it’s survival of the smartest and the fastest, not the perfectly controlled and architected.
The next and last post in the series would cover the available tools and product offering in the market.
Sources: Gartner Research and Rittmanmead.com
