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Who NeedsWho Needs
a Data Refinery?a Data Refinery?
Business people
who can’t find relevant data on their own
and who must rely on IT to supply the data
for their analytics projects
need a data refinery
. . . though they may not know it
Application developers
who build cloud applications
without data integration & governance
because they lack easy access to data and
data services
need a data refinery
. . . and they just might know it
IT practitioners and data stewards
who are overwhelmed by data requests
from business people and application
developers
need a data refinery
. . . but they don’t know where to find it
A data refinery is . . .
a facility for transforming raw data
into information that is
clean,
timely,
relevant,
useful
A data refinery makes data access
as easy as . . .
getting fresh water from a tap
. . . for those who have the right permission
A data refinery makes its home . . .
on the cloud
. . . to be close to cloud-based applications
that consume data
. . . to provide low cost and flexibility
Current approaches exist
Business-oriented
tools:
IT integration and
governance tools:
Hadoop-based and
integration-based
tools:
Easy to use by business
people …
Enterprise class …
Adequate for their own
special purposes …
But they leave serious gaps
Ungovernable,
not scalable for IT use
Not suitable for
business use
Not suitable for
organizations that want
to integrate, govern
and store refined data
Business-oriented
tools:
IT integration and
governance tools:
Hadoop-based and
integration-based
tools:
It’s time for data refinement
services
with enterprise-ready power
. . . including built-in governance and protection
and consumer-ready ease
. . . so users don’t notice it’s there
It’s time for self-service
data refinement
that makes data work
IBM
ibm.com/software/data/refinery
#makedatawork

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Who Needs a Data Refinery?

  • 1. Who NeedsWho Needs a Data Refinery?a Data Refinery?
  • 2. Business people who can’t find relevant data on their own and who must rely on IT to supply the data for their analytics projects need a data refinery . . . though they may not know it
  • 3. Application developers who build cloud applications without data integration & governance because they lack easy access to data and data services need a data refinery . . . and they just might know it
  • 4. IT practitioners and data stewards who are overwhelmed by data requests from business people and application developers need a data refinery . . . but they don’t know where to find it
  • 5. A data refinery is . . . a facility for transforming raw data into information that is clean, timely, relevant, useful
  • 6. A data refinery makes data access as easy as . . . getting fresh water from a tap . . . for those who have the right permission
  • 7. A data refinery makes its home . . . on the cloud . . . to be close to cloud-based applications that consume data . . . to provide low cost and flexibility
  • 8. Current approaches exist Business-oriented tools: IT integration and governance tools: Hadoop-based and integration-based tools: Easy to use by business people … Enterprise class … Adequate for their own special purposes …
  • 9. But they leave serious gaps Ungovernable, not scalable for IT use Not suitable for business use Not suitable for organizations that want to integrate, govern and store refined data Business-oriented tools: IT integration and governance tools: Hadoop-based and integration-based tools:
  • 10. It’s time for data refinement services with enterprise-ready power . . . including built-in governance and protection and consumer-ready ease . . . so users don’t notice it’s there
  • 11. It’s time for self-service data refinement that makes data work IBM ibm.com/software/data/refinery #makedatawork