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Upstream data granularity and its impact on business value

Data granularity plays an important role when dealing with big data analytics in the upstream industry. The real value lies in the small data (granular) and the fast data (time). The upstream has all the four characteristics of big data – velocity, veracity, volume, and variety. This article adds another perspective to data granularity.

In this article, the author has viewed an oil and gas company as a data production line, where data flows between different departments. At each step, some data value is lost. Business value can be maximized if data is captured in the most granular form and is fed into enterprise applications as quickly as possible. The ability of enterprises to do this will prove to be a key differentiator.

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Published with the permission of Digital Energy Journal

Author

Ketan Puri, Lead Consultant, Digital and Integration Services – Digital Process Integration, Infosys

Ketan Puri, Lead Consultant, Digital and Integration Services – Digital Process Integration, Infosys

Ketan has more than 14 years of experience in the energy and utilities domain (technical and process consulting) – ranging from oil and gas, to electricity distribution.

Ketan has been with Infosys for more than five years. He is credited with leading business process management (BPM) engagements for major financial firms, business process modelling and development of high performance integration frameworks in the energy domain.

He can be reached at

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