Tackling workforce structure is integral to an organization’s digital business transformation success. Data and analytics leaders cannot master today’s opportunities and challenges of digital business using yesterday’s roles and organization design.
Chief data officers (CDOs) consistently mention lack of relevant skills or staff as one of the top internal roadblocks to success. The Gartner 2018 CEO Survey highlighted a similar pattern, with respondents listing a “lack of appropriate talent and capability in the workforce” as the biggest inhibitor to digital business progress. Data and analytics ranked first among tech-related skills that CEOs will need most.
Algorithmic business is creating new responsibilities and roles for those managing data and analytics. The growing importance of data and analytics creates new strategic challenges for organizations and data and analytics leaders. Now is the time to create an organization with new data and analytics roles fit for the future.
There are a few things that data and analytics leaders must focus on as they begin their journey to support the transformation required for digital business.
This story is from the February 2019 edition of Enterprise IT World.
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This story is from the February 2019 edition of Enterprise IT World.
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