David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It is stocked with data gathered from multiple authoritative sources and available for immediate analysis, forecasting, planning and reporting.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Public sector data sharing. Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BizAcuity

NOVEMBER 13, 2024

Making decisions based on data, rather than intuition alone, brings benefits such as increased accuracy, reduced risks, and deeper customer insights. Advanced Analytics and Predictive Insights The real value of data lies in its ability to forecast trends and identify opportunities.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’ That’s why your business needs predictive analytics.

Predictive Analytics 62

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Finances: can Iower financial risk? Usage in a business context.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. It is frequently used for risk analysis. It is frequently used for economic and sales forecasting.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Cloudera

AUGUST 8, 2024

Cloudera is excited to announce a partnership with Allitix, a leading IT consultancy specializing in connected planning and predictive modeling. Data-backed Decisions Through Predictive Models Predictive models use historical data and analytics to forecast future outcomes through mathematical processes.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

CIO Business Intelligence

MARCH 19, 2025

If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns. Without robust data infrastructure, sustainability reporting can become fragmented, leading to inefficiencies and compliance risks.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

MAY 14, 2024

IDC forecasts that global spending on private, dedicated cloud services — which includes hosted private cloud and dedicated cloud infrastructure as a service — will hit $20.4 Such private cloud solutions eliminate the risks of multitenancy data leakage, for example, a key CIO concern with AI. We have no choice. Semple says.

IT 143

IT Data Processing Enterprise Modeling 143

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. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Plan and forecast accurately. Customer Churn. Quality Control. Demand Planning. Product/Service Cross-Selling.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Smarten

MAY 17, 2019

If you can easily integrate data from sources outside the business, you can provide a more comprehensive picture for predicting and forecasting results and anticipating the needs of the market. Learn More: Predictive Analytics Using External Data. View the Predictive Analytics Using External Data Use Case Slide Share.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Assisted Predictive Modeling can help your business achieve its goals.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

MAY 13, 2019

Self-serve, assisted predictive modeling and predictive analytics can help you to identify the customers who are most likely to leave and allow you to develop processes and strategies, as well as new marketing, new products and services, and other strategies that will improve customer retention and reduce customer churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

JUNE 8, 2022

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Anticipating Machine Maintenance Needs.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

IBM Big Data Hub

OCTOBER 5, 2022

Having the ability to build and use models in this way is fundamental to managing supply chain and financial risk through activities like “what-if scenario planning”, as explained in this blog post. Time matters too: your models must be quick to run, so analysis can be done before the assumptions are out-of-date.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

DataRobot

NOVEMBER 15, 2021

Banking organizations can reduce overhead and scale machine learning services as required to deliver on critical use cases like model risk and validation, anti-money laundering, fraud detection, and credit and repayment risk. DataRobot & Palantir Foundry Demand Forecasting Solution. Find out more. Learn more.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Smarten

MAY 15, 2019

The enterprise does not want to risk its reputation with unanticipated downtime or the loss of revenue for its customers. Your business can leverage Predictive Analytics to plan for and anticipate maintenance, investment, changes in resources and training requirements and supply chain management for parts, shipping, etc.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

DataRobot

JUNE 4, 2021

When integrated with your primary dataset, often the new features from these third-party data sources can significantly improve the predictive signal and overall accuracy of the machine learning model in development. Forecasting In-Store Foot Traffic. Here, we have a model that predicts foot traffic for a chain of coffee shops.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Jet Global

JUNE 20, 2023

But are the risks worth the potential payoff? Some of the reports a product manager is expected to produce—and deliver with short turnaround times—are accurate sales forecasts and predictive models outlining customer needs. So, how do they produce all these forecasts quickly, with accuracy?

Management 52

Management Forecasting Risk Sales 52

Smarten

JULY 30, 2018

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

DataRobot Blog

JUNE 24, 2022

Thanks to the increasingly rapid evolution of AI and advances in machine learning, the real estate industry has a more vivid picture of future risk and opportunities across all different market segments: offices, residential, retail, logistics, hotels, OPRE and data centers. Forecasting the Real Estate Market Using DataRobot.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Analytics 40

Analytics Predictive Modeling Visualization Predictive Analytics 40

Smarten

JANUARY 27, 2023

Predictive Analytics – Your business users should not need to seek the advice of a data scientist to forecast and predict.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Proactive Risk Management : BI tools enable organizations to proactively identify potential risks through predictive modeling and trend analysis.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. Generative AI’s impact on the social media landscape garners occasional bad press.

B2B 64

B2B Interactive Optimization Data-driven 64

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days.

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

Smarten

MARCH 19, 2019

In today’s competitive business market, every senior executive looks at risk, value and calculations like return on investment (ROI) and total cost of ownership (TCO) before approving a budget. As business organizations fight for competitive advantage, funding for projects and large expenditures can fall by the wayside.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

IBM Big Data Hub

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. Ensuring early assumptions resonate with real-world execution is paramount.

Advertising 80

Advertising Data-driven Optimization Forecasting 80