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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Integrate the data sources of the various behavioral attributes into a functional data model.

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What is a Citizen Data Scientist and How Has the Role Changed?

Smarten

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

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Understanding BI Tools in Today’s Market

Smarten

Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.’ Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.

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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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What is a Citizen Data Scientist, What is Their Role, What are the Benefits of Citizen Data Scientists

Smarten

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?