Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

Sisense

FEBRUARY 18, 2021

No one can expect to unveil what’s coming with absolute certainty, but even having some idea of what to expect next quarter or next year can evolve a business and transform an industry. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

Decision Management Solutions

APRIL 15, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance.” In that post, I referenced Matt Josefowticz’s recent article – Technology May be the Answer for Insurers, but What Was the Question? , in which he argues that there are only three levers of value in insurance: 1. Sell More.

Insurance 63

Insurance Technology Predictive Analytics Sales 63

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52