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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. How do they bring all of that data together?

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In-depth with CDO Christopher Bannocks

Peter James Thomas

Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. 2] I was asked to help solve the data problem.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Traditionally, planning is performed on a quarterly, bi-annual, or annual basis by finance departments, with a big push for the annual budget. Why change the process? What is continuous planning?

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

BizAcuity

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. AI for Business. These industries accumulate ridiculous amounts of data on a daily basis.

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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. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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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. I expect we’ll see the consumerization of search and knowledge management over the next decade, driven by generative and conversational AI capabilities.

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Three Benefits of Driver-Based Budgeting

Jet Global

Identifying Key Business Drivers. The DBB process begins with identifying the variables that have the greatest impact on overall business performance. DBB builds a budget based on key business objectives, baseline assumptions about external drivers, and a results-driven approach to internal business drivers.