Decision Management Solutions

AUGUST 18, 2020

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. But how best to automate these decisions?

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

BizAcuity

MARCH 31, 2022

The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Artificial Intelligence Analytics. AI for Business. Uncertain economic conditions.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

MARCH 2, 2018

And entirely new utility start-ups such as Drift use machine learning technologies to provide customers with cheaper wholesale energy prices by more accurately predicting consumption. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Sisense

JUNE 30, 2020

Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

FineReport

APRIL 26, 2023

By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Time Saving : Big data tools and technologies can collect and analyze data from multiple sources in real-time, enabling businesses to make quick decisions based on insights.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Domino Data Lab

JUNE 2, 2019

Because of anxieties and misunderstandings around the HIPPO (highest paid person’s opinion), who may have little understanding about technology and use cases. Randi Ludwig , a data science leader at Dell Technologies, captured these zen k?ans Because reasons. Because of bad culture. Bad things happen this way. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) And Manufacturing and Technology, both 11.6 The Hitchhiker’s Guide to Embedded Analytics Download Now Section 2: Embedded Analytics: No Longer a Want but a Need Find out how major shifts in technology are driving the need for embedded analytics.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52