IBM Big Data Hub

OCTOBER 11, 2018

Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes.

Prescriptive Analytics 86

Prescriptive Analytics Analytics Optimization Technology 86

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 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

IBM Big Data Hub

SEPTEMBER 11, 2018

Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.

Prescriptive Analytics 78

Prescriptive Analytics Manufacturing ROI Uncertainty 78

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

AUGUST 9, 2018

As any financial services executive knows, improving business results with precise, timely decisions is much harder than it looks.

Prescriptive Analytics 87

Prescriptive Analytics Analytics IT 87

Rocket-Powered Data Science

SEPTEMBER 25, 2022

It is an insight engine, providing not only data for descriptive and diagnostic analytics applications, but also providing essential data for predictive and prescriptive analytics applications. examples, with constant reminders that’s it all about the data plus analytics! The digital twin is more than a data collector.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Infor introduced its original AI and machine learning capabilities in 2017 in the form of Coleman, which uses its Infor AI/ML platform built on Amazon’s SageMaker to create predictive and prescriptive analytics. Having a vertical industry focus in its cloud suites adds context for process analytics.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

MARCH 2, 2021

At first glance, reports and analytics may look similar – lots of charts, graphs, trend lines, tables, statistics derived from data. Reports VS Analytics. Definitions : Reporting vs Analytics. Analytics describes the process of obtaining valuable business insights by investigating and interpreting the organized data.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Analytics? Business Intelligence vs Data Science vs Data Analytics shows at FineReport first.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

FEBRUARY 20, 2024

However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements. If you need further assistance with building analytics solutions with data from various IoT sensors, please contact your AWS account team.

Analytics 118

Analytics IoT Prescriptive Analytics Internet of Things 118

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

CIO Business Intelligence

OCTOBER 4, 2023

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Deep Learning 135

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions. Thomas, and Kristin A.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

BizAcuity

MARCH 8, 2019

Workforce Analytics – What is its need for companies. Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Smarten

AUGUST 8, 2017

A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take. Predictive analytics like this allows pushing of right products to e-commerce shoppers. I am sure you all have experienced this on the large e-commerce site and enjoyed it.

Predictive Analytics 65

Predictive Analytics Analytics Prescriptive Analytics Sales 65

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Predictive Analytics Using External Data. Trends and Patterns.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

IBM Big Data Hub

NOVEMBER 20, 2019

In this blog post, we’ll share real-world stories of how decision optimization technology delivers prescriptive analytics capabilities and opens the door to operational efficiency. We will also introduce you to the IBM data science and AI platform solutions that can deliver operational efficiency that satisfies the business.

Optimization 76

Optimization Prescriptive Analytics Technology Data Science 76

Smart Data Collective

OCTOBER 13, 2021

Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool. Prescriptive analytics. What benefits does it bring to businesses? In forecasting future events.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

MAY 28, 2022

Certified profits. Much as there was profit to be made selling pick-axes during the goldrush, there’s also money to be made in the certification process itself, with pay premiums rising fast for CompTIA Certified Technical Trainers and Microsoft Certified Trainers.

IT 126

IT Prescriptive Analytics Deep Learning Big Data 126

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? What’s In a Name? Let’s take a closer look.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

OCTOBER 27, 2020

Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change! The HR analytics continuum. Operational analytics. Strategic analytics. Transformational analytics.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. QlikView is Qlik’s classic analytics solution, built on the company’s Associative Engine. Analytics, Data Science

Data mining 144

Data mining Data-driven Statistics OLAP 144

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

AUGUST 25, 2020

Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. However, another type of analytics, called “prescriptive analytics”, involves simulation tools that look towards the future with a view of many potential scenarios.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

BizAcuity

FEBRUARY 21, 2025

Forecast trends and act strategically : Integration with advanced analytics and AI-powered insights helps businesses not only predict trends but also take proactive steps to stay ahead of competitors. By spotting issues early, companies can address problems before they snowball into costly disruptions, saving time and resources. Whats Next?

Dashboards 52

Dashboards Optimization Finance Sales 52

Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

Smart Data Collective

OCTOBER 14, 2019

From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making. Let’s take a look at the skillsets developers need to have. Big Data Skillsets.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99