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Transforming Credit and Collection with Predictive Analytics

BizAcuity

is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. WNS is a leading utility company, which put predictive analytics to use.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

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What is Predictive Analytics and Can it Help You Achieve Business Objectives?

Smarten

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Limitations of common approaches to analytic projects.

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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. The goal is to develop predictive analytics models that will be able to recommend changes to prevent such accidents from occurring in the first place. New machine learning initiatives offer promising opportunities to lower car accidents.

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Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

Business Over Broadway

Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty – As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Data Science/Analytics Tools, Technologies and Languages used in 2017.

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What is Modern BI and How is it Different From Traditional BI?

Smarten

Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization. While traditional BI was the domain of IT and the analyst community, the modern BI environment expands the use of analytical tools throughout the organization.

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