Remove Data Analytics Remove Data Processing Remove Forecasting Remove Uncertainty
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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

This echoes some existing sentiment, especially around D&I, for instance, but the discipline of success lies in not only thinking 10 years ahead but also walking it back to the present to account for progress—a model that has given the IFTF a consistent track record of successfully forecasting futures. “I

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Ditch Manual Data Entry in Favor of Value-Added Analysis with CXO

Jet Global

Businesses around the globe are struggling to do more with less as budgets tighten, uncertainty looms, and talented workers can be scarce. Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers.

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What it Means to be a Data-driven Financial Institution

Sisense

Luckily, there are intelligent and scalable ways institutions can access and make sense of their data, allowing them to spot trends and extract insights that drive innovation and inspire creative solutions. First and foremost, data can inform financial institutions about customer and member activity. Forecasting consumer trends.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Addressing cognitive bias with pre-mortems.