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The Data Flywheel begins and ends with data—and with the integration of
new data continuously fueling it as it spins. Modern apps, analytics services,
and machine learning systems create more data that can be stored and
managed in the cloud through data warehouses and data lake architectures.
That allows your organization to develop new capabilities and apps
through the use of purpose-built databases, gain new insights, and deliver
new products. This is a stepwise, repeatable process which must be run
project-by-project—like turning a flywheel, building momentum with each
turn.
One of the most unique characteristics of the Data Flywheel is that no "one
thing" powers it, and organizations that search for such a fundamentally
basic solution will likely lose their way. The Data Flywheel moves by many
components acting in concert, equating to a whole that's greater than the
sum of its parts.
Spinning the Data Flywheel
CONCLUSION
As you work to develop the components outlined in this
eBook—implementing the most relevant technologies and procedures
at each phase—your flywheel will begin to generate perpetual business
momentum. The flywheel will help put your data to work, automating data
management and analytics and giving you and your team the time needed to
make smarter, data-driven decisions—while directing more resources toward
the business objectives that matter most.
Want to learn more about how the Data Flywheel can help your organization
achieve perpetual business momentum? Visit our interactive Data Flywheel
site to dig deeper into each of its components.
Interact with the Data Flywheel >
