BizAcuity

APRIL 28, 2019

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.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Smarten

NOVEMBER 19, 2018

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?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Decision Management Solutions

JUNE 4, 2021

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). All these elements have a significant role in analytic projects.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Smart Data Collective

DECEMBER 9, 2020

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.

Machine Learning 141

Machine Learning Risk Insurance Predictive Analytics 141

Occam's Razor

JANUARY 8, 2018

Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. In 2017, they've twice replaced the company's Chief Revenue Officer. Multi-petabyte data warehouses.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Smarten

JANUARY 7, 2020

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. How is Modern BI Different From Traditional BI?

IT 52

IT Business Intelligence ROI Reporting 52

Business Over Broadway

DECEMBER 20, 2018

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.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74