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 81

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 81

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 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

NOVEMBER 14, 2022

Sometimes called advisory systems, consultation systems, or suggestion systems, they provide specialized problem-solving expertise based on a particular domain. Forecasting models. Briq is a predictive analytics and automation platform built specifically for general contractors and subcontractors in construction.

Data mining 139

Data mining Data-driven Statistics OLAP 139

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

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. The companies that yield BI-related tasks to internal IT teams now, are likely to hire expert consultants in the next years.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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

Domino Data Lab

JUNE 2, 2019

More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. Full disclosure: I’m part of that effort and consulting on behalf of NYU. Addressing cognitive bias with pre-mortems. That may take a while. Jupyter and NYU have been busy addressing that problem.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110