WH Y P ROJ E C T S FA I L
KEY CONSIDERATIONS FOR DEEP
ANALYTICS
We live in an era of big data. Whether
you work in financial services, consumer
goods, travel, transportation, healthcare, education, supply chain, logistics
or industrial products and professional
services, analytics are becoming a competitive necessity for your organization.
But having big data – and even people
who can manipulate it successfully – is
not enough. Companies need managers
who can partner effectively with analysts
to ensure that their work yields better
strategic and tactical decisions.
Big data with deep analytics is a journey that helps organizations solve key
business issues and opportunities by
converting data into insights to influence
business actions and drive critical business outcomes. As organizations try to
take advantage of the big data opportunity, they need not be overwhelmed by the
various challenges that might await them.
Managers will need to start their
journey by [2]:
Identifying clear business need and
value. Almost everything needs to be a
business rather than a technology solution. Before companies start collecting big
Going Deep & Wide on big
data with deep analytics for
deep learning
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