CIO Business Intelligence

FEBRUARY 10, 2023

The science of predictive analytics can generate future insights with a significant degree of precision. With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future.

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Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

MAY 14, 2024

You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. 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 The Milford, Conn.-based

IT 143

IT Data Processing Enterprise Modeling 143

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

CIO Business Intelligence

MARCH 19, 2025

Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste. For example, retailers are leveraging AI-powered demand forecasting to reduce overproduction and excess inventory, significantly cutting down carbon emissions and waste.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Predictive Analytics Analytics Predictive Modeling Data mining 139

CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Predictive Analytics Using External Data.

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Predictive Analytics Forecasting Analytics Predictive Modeling 66

Smarten

MARCH 23, 2020

Predictive Analytics for Business Users = Assisted Predictive Modeling! These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. Are you tired of using guesswork and opinions to make business decisions?

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Predictive Analytics Forecasting Predictive Modeling Analytics 52

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

Sisense

FEBRUARY 25, 2021

One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. Data-driven forecasting decisions.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization. Nothing could be further from the truth.

Predictive Modeling 40

Predictive Modeling Modeling Forecasting Predictive Analytics 40

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. This technology has the potential to significantly redefine the mission of the financial planning and analysis group. And it must be C ompany-wide, not siloed.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

SEPTEMBER 24, 2024

It takes huge volumes of data and a lot of computing resources to train a high-quality AI model. Companies must manage all of this while maintaining the performance and efficacy of AI models and planning resources effectively to minimise expenses. Operating expenses have skyrocketed as a result. That’s not all.

Predictive Modeling 115

Predictive Modeling Machine Learning Forecasting Data-driven 115

datapine

AUGUST 14, 2019

The use of machine learning, predictive analytics, and various data connectors that enable the user to work with enormous amounts of databases, flat files, marketing analytics, CRM, etc., The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 64

Modeling Predictive Analytics Predictive Modeling IT 64

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Smart Data Collective

APRIL 21, 2022

This will as well ensure accuracy in forecasting power generation rates and respective grid adjustments. Effective production forecast. Apart from the reactive response, the IoT for renewable energy includes effective production forecasts and improves grid stability. Many industries are helping drive growth for the IoT.

IoT 126

IoT Internet of Things Forecasting Predictive Modeling 126

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

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. It also uses these why’s to make predictions of what will happen in the future.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

MARCH 13, 2018

That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

BI-Survey

NOVEMBER 24, 2020

This generates significant challenges for organizations in many areas and corporate planning and forecasting are no exceptions. The aim is to relieve planners and use historical data for valuable forecasts of the future. Planning, forecasting and analytics must be adapted to keep up with these demands.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

DataRobot

OCTOBER 19, 2021

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. Many available forecasts provide less than four weeks notice at the state and county level. As these services have increased, so has the demand of constituent needs.

Forecasting 98

Forecasting Predictive Modeling Optimization Reporting 98

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

CIO Business Intelligence

JUNE 14, 2023

Certified Analytics Professional The Certified Analytics Professional (CAP) credential is a vendor- and technology-neutral analytics certification that certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment, and model lifecycle management.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts. Artificial intelligence has already unlocked opportunities that most organizations never thought possible.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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 economic and sales forecasting. What is data analytics? Data analytics tools.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? Most organizations lack the analytic maturity to be able to turn to their team of data scientists and have them build intelligent prescriptive models that easily light up the road to success. Forecast realistic outcomes. Turning Data into Insight.

Uncertainty 94

Uncertainty Management Forecasting Visualization 94

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.

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Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

BizAcuity

NOVEMBER 13, 2024

For organizations, this means adopting a data-driven approach—one that replaces gut instinct with factual evidence and predictive 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

NOVEMBER 14, 2017

Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Plug n’ Play Predictive Analysis.

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

Smart Data Collective

SEPTEMBER 30, 2021

One such example of AI being used for prediction of high impact weather events is the Gradient Boosted Regression Trees (GBRT) algorithm, in which it was found that in 75% of cases, AI-based forecast was chosen over human intuition by professional forecasters. Many companies use platforms like Spark 3.0 Wildlife Conservation.

Machine Learning 134

Machine Learning Cost-Benefit Optimization Forecasting 134

Smarten

DECEMBER 15, 2017

Plug n’ Play Predictive Analysis for Accurate Forecasting! One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. Predictive Analytics Example in Finance. A Brief History of Predictive Analytics. No industry has attempted to do more with predictive analytics than the financial services industry. What is Predictive Analytics? What Predictive Analytics Cannot Forecast.

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Predictive Analytics Finance Analytics Forecasting 83