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WHAT OIL
TEACHES US
ABOUT BIG DATA
Data offers a business
opportunity, assuming
that your organization can
tap into that resource and
put it to productive use.
In order to do that, you need to
identify quality sources of data and
know how to refine that data to meet
the specific needs of your company.
In that way, the process for finding
and refining oil can teach us a lot
about how to exploit the new natural
resource in enterprises: data.
Manufacturing oil is a multistage
process, involving a variety of
different tools and complex
considerations. Each step in the
process is critical to the next step.
Otherwise, the quality of the end
product will be diminished or,
worst case, unusable.
Here we look at the seven major
steps in manufacturing oil and
how they relate to exploiting data.
1Exploration
Without finding oil sands or
another source of crude and
petroleum, the process can never
begin. Petroleum is most often
found in areas of porous rock. Once
petroleum has been located, it’s
important to do some test drilling
to ensure that more drilling will be
productive.
1 Exploration
Similarly, data can be anywhere in
the organization or available from
external sources (some in the
public domain and others from fee-
based services). Leaders in the Data
era will explore beyond the obvious
places, looking for new data assets
which can be utilized for
competitive advantage.
1 Exploration
DRILLING
2
2 DrillinG
Drilling for oil requires a rotary
drill and insertion of a pipe.
Typically, petroleum will be
thousands of feet deep into the
rock, so a drill must be able to
penetrate deeply.
2 DrillinG
Once data is located, the right tools
must be in place to access the data.
But, it’s more than just tools; it’s
the approach, the methodology,
and the techniques to ensure that
the effort will yield results.
3Recovery
3 rEcovEryrEcovEryrEcovEry
After drilling, pipes and valves are
installed into the rock to enable the
proper extraction of the crude oil.
These pipes are connected to a
recovery system which separates
the oil and gas.
3 rEcovEryrEcovEryrEcovEry
Likewise, once data is located and
accessed, there must be a strategy
to recover and extract the data.
From that point, the data can be
moved to the right part of the
organization.
4Distillation
4 Distillation
Fractional distillation is the process
of removing gasoline from other
compounds in the crude oil. It’s the
process of heating crude oil, letting
it vaporize, and then condensing
the vapor prior to the refining
process.
4 Distillation
Just like consuming tainted oil will
prevent an automobile from
running, consuming poor-quality
data can cripple an organization.
Before it can be refined, the data
must be distilled—detecting and
fixing errors and missing values—
to ensure that it can be used.
5REFINING
5 rEFininG
Fractional distillation is the process
of removing gasoline from other
compounds in the crude oil. It’s the
process of heating crude oil, letting
it vaporize, and then condensing
the vapor prior to the refining
process.
5 rEFininG
Just like consuming tainted oil will
prevent an automobile from
running, consuming poor-quality
data can cripple an organization.
Before it can be refined, the data
must be distilled—detecting and
fixing errors and missing values—
to ensure that it can be used.
6ADDITIVES
6 aDDitivEsaDDitivEsaDDitivEs
Chemicals are added to oil to
ensure performance of the finished
product. This will help extend the
life of gas engines and ensure
optimal operation.
6 aDDitivEsaDDitivEsaDDitivEs
Data can be enriched too, either
with third-party data or simply
through human-aided curation.
This enhances the value of the asset.
7TRANSPORTING
7 transportinG
The last step in the oil
manufacturing process is about
ensuring that the finished product
is delivered to a location where it
can be consumed.
7 transportinG
Data must also be in the right place
at the right time in order to impact
an organization. This puts a
premium on the transportation and
application of data across an
organization.
Organizations that have the
ability to tap into data as their
primary natural resource will
drive competitive advantage
versus their peer group. That is
the data opportunity. Leading
organizations will exploit that
opportunity by drawing parallels
from the oil refining steps.
For more on
exploiting big data,
check out
Big Data
Revolution
Rob Thomas & Patrick McSharry

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What oil teaches us about big data

  • 2. Data offers a business opportunity, assuming that your organization can tap into that resource and put it to productive use.
  • 3. In order to do that, you need to identify quality sources of data and know how to refine that data to meet the specific needs of your company. In that way, the process for finding and refining oil can teach us a lot about how to exploit the new natural resource in enterprises: data.
  • 4. Manufacturing oil is a multistage process, involving a variety of different tools and complex considerations. Each step in the process is critical to the next step. Otherwise, the quality of the end product will be diminished or, worst case, unusable.
  • 5. Here we look at the seven major steps in manufacturing oil and how they relate to exploiting data.
  • 7. Without finding oil sands or another source of crude and petroleum, the process can never begin. Petroleum is most often found in areas of porous rock. Once petroleum has been located, it’s important to do some test drilling to ensure that more drilling will be productive. 1 Exploration
  • 8. Similarly, data can be anywhere in the organization or available from external sources (some in the public domain and others from fee- based services). Leaders in the Data era will explore beyond the obvious places, looking for new data assets which can be utilized for competitive advantage. 1 Exploration
  • 10. 2 DrillinG Drilling for oil requires a rotary drill and insertion of a pipe. Typically, petroleum will be thousands of feet deep into the rock, so a drill must be able to penetrate deeply.
  • 11. 2 DrillinG Once data is located, the right tools must be in place to access the data. But, it’s more than just tools; it’s the approach, the methodology, and the techniques to ensure that the effort will yield results.
  • 13. 3 rEcovEryrEcovEryrEcovEry After drilling, pipes and valves are installed into the rock to enable the proper extraction of the crude oil. These pipes are connected to a recovery system which separates the oil and gas.
  • 14. 3 rEcovEryrEcovEryrEcovEry Likewise, once data is located and accessed, there must be a strategy to recover and extract the data. From that point, the data can be moved to the right part of the organization.
  • 16. 4 Distillation Fractional distillation is the process of removing gasoline from other compounds in the crude oil. It’s the process of heating crude oil, letting it vaporize, and then condensing the vapor prior to the refining process.
  • 17. 4 Distillation Just like consuming tainted oil will prevent an automobile from running, consuming poor-quality data can cripple an organization. Before it can be refined, the data must be distilled—detecting and fixing errors and missing values— to ensure that it can be used.
  • 19. 5 rEFininG Fractional distillation is the process of removing gasoline from other compounds in the crude oil. It’s the process of heating crude oil, letting it vaporize, and then condensing the vapor prior to the refining process.
  • 20. 5 rEFininG Just like consuming tainted oil will prevent an automobile from running, consuming poor-quality data can cripple an organization. Before it can be refined, the data must be distilled—detecting and fixing errors and missing values— to ensure that it can be used.
  • 22. 6 aDDitivEsaDDitivEsaDDitivEs Chemicals are added to oil to ensure performance of the finished product. This will help extend the life of gas engines and ensure optimal operation.
  • 23. 6 aDDitivEsaDDitivEsaDDitivEs Data can be enriched too, either with third-party data or simply through human-aided curation. This enhances the value of the asset.
  • 25. 7 transportinG The last step in the oil manufacturing process is about ensuring that the finished product is delivered to a location where it can be consumed.
  • 26. 7 transportinG Data must also be in the right place at the right time in order to impact an organization. This puts a premium on the transportation and application of data across an organization.
  • 27. Organizations that have the ability to tap into data as their primary natural resource will drive competitive advantage versus their peer group. That is the data opportunity. Leading organizations will exploit that opportunity by drawing parallels from the oil refining steps.
  • 28. For more on exploiting big data, check out Big Data Revolution Rob Thomas & Patrick McSharry