Remove Consulting Remove Forecasting Remove Prescriptive Analytics
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3 Things Citizen Data Scientists Need in Predictive Analytics!

Smarten

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.

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MRO spare parts optimization

IBM Big Data Hub

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.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

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.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

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.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

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.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

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.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

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.