demystifying data what they don’t tell you at data school · demystifying data –what they...
TRANSCRIPT
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Antonio Acuña MBE – Head of Consulting
Demystifying data – what they don’t tell you at Data School
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“System means a configuration of parts connected and joined together by a web of relationships.”
Bela Banathy
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Data is the new oil, the new gold, the transactional currency used across systems
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Data is not a by-product of a transaction between systems, the systems are a by-product of the need to exchange data
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Transactions occur across systems because a job needs doing
Understand the ‘job to be done’ and you'll know what the right transactional structure should be for your data
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“People do not want a quarter-inch drill, they want a quarter inch hole.”
Theodore Levitt, late editor of the Harvard Business Review
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Define your data needs around the
‘job to be done’, the set of needs that
must be fulfilled for a given outcome.
Meaningful data emerges from
meaningful interactions with users
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Identifying the right ‘data needs’ to
fulfill the ‘job to be done’ will
determine the service principles to
enable a successful data transaction
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Good service design requires that the right processes be put in place to meet user needs
Meeting user needs guarantees that the right data is captured; the data you need to get the job done.
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Meeting user needs guarantees that the right data is captured; the data you need to get the job done.
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There is no bad data, just bad processes
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To get the job done, to design good
services, to fix your processes, you
need to re-imagine how you operate;
you need a strategy to get there.
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A data strategy always responds to a
business need, it is not a thought
piece or a plan; it is an approach to
getting to endgame
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A data strategy should always be
about achieving a specific outcome
given a set of circumstances
(business reality)
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A data strategy should be
reductionist, even if it calls for
expansion
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A data strategy should have an
Implementation Plan; you can't
change how you do data without
changing how the organization works,
how people work.
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An Implementation Plan reflects an
understanding of the risks of
changing and proposes mitigations
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Every data transaction is a response
to a human problem
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AI can help using poorly captured data
but it cannot fix the fact that it is
poorly captured
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Questions?www.parity.net
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