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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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.

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Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

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Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. Understanding Assisted Predictive Modeling.

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Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

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Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

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Analytics Predictive Modeling Machine Learning Visualization 67

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.

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Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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. Access to Flexible, Intuitive Predictive Modeling. Trends and Patterns. Classification.

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Smarten

JANUARY 28, 2020

Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.

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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.

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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. Demand Planning. Product/Service Cross-Selling. Maintenance Management.

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IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai

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DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g.,

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

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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CIO Business Intelligence

JUNE 14, 2023

SAS Certified Advanced Analytics Professional The SAS Certified Advanced Analytics Professional credential validates the ability to analyze big data with a variety of statistical analysis and predictive modeling techniques.

Big Data 126

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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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CIO Business Intelligence

MARCH 22, 2022

Two groups of researchers are already using Nvidia’s Modulus AI framework for developing physics machine learning models and its Omniverse 3D virtual world simulation platform to forecast the weather with greater confidence and speed, and to optimize the design of wind farms.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

Smarten

JUNE 19, 2019

Encourage Data Literacy and Achieve Results with Assisted Predictive Modeling! If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal. In short, augmented analytics learning does not have to include years of study.

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CIO Business Intelligence

SEPTEMBER 5, 2023

which has been delivering sugarcane products for over 150 years, is now using AI embedded in the SAP Business Technology Platform to predict the cost of moving freight more accurately. Predictions that used to be a painstaking process are now being generated automatically in seconds. For example, American Sugar Refining, Inc.,

Technology 105

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IBM Big Data Hub

OCTOBER 5, 2022

Time matters too: your models must be quick to run, so analysis can be done before the assumptions are out-of-date. As such, planning becomes a continuous rolling activity as the lines between “plan”, “budget” and “forecast” are blurred. The first step is always the unconstrained demand plan.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

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 63

Modeling Predictive Analytics Predictive Modeling IT 63

Smarten

NOVEMBER 26, 2018

With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

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Smarten

JUNE 19, 2019

Encourage Data Literacy and Achieve Results with Assisted Predictive Modeling! If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal. In short, augmented analytics learning does not have to include years of study.

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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.

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IoT Internet of Things Forecasting Predictive Modeling 98

Smarten

MAY 14, 2019

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. Learn More: Demand Planning. Customer Targeting. Product and Service Cross-Sell and Upsell.

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IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

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Metadata Data Warehouse Forecasting Predictive Modeling 86

DataRobot

SEPTEMBER 17, 2021

This information is powerful, but ultimately the grocer needs to decide how many mangos to order for that store, and the prediction doesn’t tell them exactly what to do. Stocking exactly the 2,700 mangos will lead to empty shelves and disappointed customers if the forecast underestimates demand. That is the ultimate decision.

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 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

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

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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. So what’s the alternative?

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

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

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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.

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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.

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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. Leave it to the Software!

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Smarten

JANUARY 21, 2019

Time Series Forecasting. Holt-Winters Forecasting. ARIMA Forecasting. ARIMAX Forecasting. Discover how easy it is to capitalize on Augmented Analytics and Predictive Modeling ! Consider the myriad of techniques used by data scientists and analysts! Exponential Smoothing. Descriptive Statistics.

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40