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 Statistics 157

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

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. Data Virtualization is a technology that allows combining information from different data sources and transforming them into a single virtual data source that can be accessed in real time by different applications. In forecasting future events.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

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. Finance benefiting from automated forecasting, which reduces errors and ensures more accurate financial predictions.

Dashboards 52

Dashboards Optimization Finance Sales 52

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). Forecasting models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. Prescriptive Analytics. In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

Smart Data Collective

OCTOBER 14, 2019

Gartner estimates a retail IT spend forecast of $210.9 Software developers can benefit from a proficiency in using this type of technology and they can find work as a Hadoop developer. They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

IBM Big Data Hub

SEPTEMBER 19, 2023

Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. It can also be challenging to operationalize data analytics models.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

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.’ Forecasting. Trends and Patterns. Classification. Hypothesis Testing. Descriptive Statistics. Correlation.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

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 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

IBM Big Data Hub

JANUARY 25, 2024

2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Now, consider the just-in-case approach.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

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. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

MARCH 2, 2018

For example, applying machine learning to wind forecasting is expected to reduce uncertainty in wind energy production by more than 45% and will allow utilities to integrate wind more easily with traditional forms of power supply. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

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. That may take a while.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

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

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

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

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

CIO Business Intelligence

APRIL 9, 2025

According to ResearchGate , leaders leveraging quantitative analysis can forecast future trends, optimize operations, improve product offerings and increase customer satisfaction with greater reliability. The GenAI revolution in enterprise analytics In 2025, generative AI is profoundly reshaping the analytics landscape.

Enterprise 96

Enterprise Analytics Experimentation Statistics 96

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64