OI L F IEL D AN A LY T I C S
Respondents said data
warehousing and data
management/integration
technologies are among
their top priorities for
investment this year. Both
technologies are important
steps in laying the
groundwork for broader
use of analytics tools.
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data and analytics capabilities. The solution
starts with creating a platform for analytics by
consolidating and integrating data by type (exploration, development or production) over as
broad a geographic area or portion of the company as possible.
Next is to deploy analytics tools that can optimize the value of historical data in each of the
three main categories, while laying groundwork
for real-time and predictive tools that can holistically analyze the three main categories of data.
Ovum primary research shows that E&P and
oilfield services companies are taking up this challenge. In its 2013 ICT Enterprise Insights survey,
Ovum interviewed more than 400 IT decisionmakers in E&P (among more than 6,500 across
17 industries). Asked about their priorities in information management, the respondents said data
warehousing and data management/integration
technologies are among their top priorities for investment this year. Both technologies are important steps in laying the groundwork for broader
use of analytics tools.
Important though it is, data integration should
not be undertaken all at once. Depending on the
degree of fragmentation of its existing data, an
E&P company may face a complex challenge extracting all of this data, transforming it into a consistent format, and loading it into a new, unified
database. Most enterprises will want to rely on an
outside company – the analytics software vendor,
a systems integrator or both – to do that, rather
than build or hire for such skills internally.
Pragmatism dictates tackling the problem in
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