Smarten

JULY 30, 2024

Prescriptive analytics for regression models combines predictive modeling and optimization techniques to produce actionable recommendations for decision-making. By merging prediction with prescription, the enterprise can proactively identify challenges and opportunities, and drive more effective and strategic outcomes.

Predictive Analytics 62

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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.’ Hypothesis Testing. Predictive Analytics Using External Data. Trends and Patterns. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

JANUARY 25, 2024

Over time, inventory managers have tested different approaches to determine the best fit for their organizations. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? regulations, undergoing digital transformation and the need for cost-cutting.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

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?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is 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. ‘If

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Data Science 52

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! That’s where prescriptive analytics and assisted intelligence truly start changing how HR professionals do their jobs.

People Analytics 74

People Analytics Analytics Key Performance Indicator Cost-Benefit 74

BizAcuity

MARCH 31, 2022

More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Enterprise Artificial Intelligence.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. With the source data now fully integrated into an analytic model, add and test different predictive algorithms. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Alation

AUGUST 26, 2021

For years, analysts in enterprises had struggled to find the data they needed to build reports. How people use data across an enterprise forms a kind of energy: this is the animating spirit of that organization’s unique data intelligence. As data collection and volume surges, enterprises are inundated in both data and its metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

JULY 6, 2023

In 1950, data scientist Alan Turing proposed what we now call the Turing Test , which asked the question, “Can machines think?” ” The test is whether a machine can engage in conversation without a human realizing it’s a machine. On a broader level, it asks if machines can demonstrate human intelligence.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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 Sales 52

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. CDO Success Factors: Culture Hacks to Create a Data-Driven Enterprise.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 9, 2025

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Later on, you’ll appreciate being able to test ideas and leverage best practices as your needs evolve. Get training for those who will be using the platform to create analytics. Predictive Analytics: If x, then y (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

FEBRUARY 13, 2025

Artificial intelligence (AI)-enabled systems are driving a new era of business transformation, revolutionizing industries through prescriptive analytics, personalized customer experiences and process automation. Issues like hallucinations and malicious prompt injections threaten enterprises reliant on AI-generated content.

Risk 116

Risk Data-driven Finance Risk Management 116

CIO Business Intelligence

MAY 5, 2025

Under Khares direction, Oshkosh has categorized AI use into four buckets: Automation of human tasks; machine and human interaction; predictive and prescriptive analytics; and content generation and summarization. AI is also being tapped to develop synthetic data for testing and to help create user documentation.

Digital Transformation 107

Digital Transformation Experimentation Strategy Prescriptive Analytics 107

CIO Business Intelligence

MAY 6, 2025

Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it? What prescriptive analytics enables: Optimization at scale, often in real-time Data-driven decision-making embedded into operational systems Automation of complex trade-offs (e.g.,

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78