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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It required investments from our data science team to re-think our statistical forecasting approach to make it easier to compare against customer forecasts.

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3 ways CIOs should drive the future of work

CIO Business Intelligence

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. CIOs should define a citizen development governance model and govern citizen data science so that no-code apps and dashboards developed today don’t become tomorrow’s technical debt.

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Eash Sundaram: CIOs offer much-needed expertise to PE-owned businesses

CIO Business Intelligence

I look for people who have a technology background, but they think like a business unit leader, which is different from having business acumen. Business acumen is understanding business drivers, performance, and markets. Business unit leadership is the ability to change the business model of a $500M company.

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Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

Be a business enabler. If D&A is going to be a driver for business success for Dow, then we must align to key business drivers for the company — in particular, growth, sustainability, and productivity. The spokes — Dow’s businesses and functions — will perform much of their own analytics and data science.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I have accountability for the governance and quality through those processes and for making the data available for downstream consumers, like Analytics, Risk, Finance and HR. I have heard you talk about “data platforms”, what do you mean by this and how do these contrast with another perennial theme, that of data democratisation?

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

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The year of the data catalog

Alation

Today, metadata management has become a critical business driver as data leaders seek to govern and maximize the value from the influx of data at their disposal. Magic Quadrant for Metadata Management Solutions 4 based on its ability to execute and completeness of vision. Now that’s twice as nice, isn’t it?