CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Predictive analytics: What is likely to happen in the future? Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

OCTOBER 13, 2021

In forecasting future events. Predictive analytics is an area of big data analysis that facilitates the identification of trends, exceptions and clusters of events, and all this allows forecasting future trends that affect the business. Prescriptive analytics.

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

Smart Data Collective

NOVEMBER 24, 2020

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. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CIO Business Intelligence

NOVEMBER 14, 2022

Forecasting models. It boasts more than 250 statistical features, including data visualization, statistical modeling, data mining, stat tests, forecasting methods, machine learning, conjoint analysis, and more. Analytics, Data Science These models are used for “what-if” analysis. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Smarten

JULY 30, 2024

Prescriptive analytics for regression models combines predictive modeling and optimization techniques to produce actionable recommendations for decision-making. Prescriptive analytics for regression models combines predictive modeling and optimization techniques to produce actionable recommendations for decision-making.

Predictive Analytics 64

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 64

Smart Data Collective

OCTOBER 14, 2019

Gartner estimates a retail IT spend forecast of $210.9 They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making. A global retailer like Amazon with its same-day shipping and multi-channel services might have billions of data points across several sectors.

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. Those who work in the field of data science are known as data scientists.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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

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 That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization.

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

IBM Big Data Hub

SEPTEMBER 30, 2022

With the new IBM Business Analytics Enterprise (BAE), we are bundling together Planning Analytics with Watson, Cognos Analytics with Watson and the new Analytics Content Hub. This enables a single point of entry for planning, budgeting, forecasting, dashboarding and reporting.

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52

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

MARCH 31, 2022

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. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jedox

JULY 31, 2018

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. Analytic Evolution in Enterprise Performance Management. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

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. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

AWS Big Data

MARCH 26, 2024

Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

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. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Domino Data Lab

JUNE 2, 2019

More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. Addressing cognitive bias with pre-mortems. That may take a while. That practice formalizes means for collecting evidence prior to introducing the cognitive bias that is inherent in meetings.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Andrew White

JANUARY 11, 2021

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.

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 102

Enterprise Analytics Experimentation Machine Learning 102

Jet Global

MAY 1, 2023

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. Predictive Analytics: If x, then y (e.g., Now explaining why things happened (e.g.,

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