CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Analytics, Data Science

Data mining 127

Data mining Data-driven Statistics OLAP 127

CIO Business Intelligence

FEBRUARY 16, 2023

Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients. The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

IBM Big Data Hub

JULY 27, 2022

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

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. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science. AI for Business. Fast shifting trends in consumer behavior.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Randi Ludwig , a data science leader at Dell Technologies, captured these zen k?ans First off, her slides are fantastic! Because reasons.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. How is data analytics used in the travel industry? Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy? D&A is not a technology thought it does use technology. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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