Smarten

JULY 9, 2018

Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). The Plug and Play Predictive Analytics and predictive modeling platform is suitable for business users.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics ROI 40

Smarten

MARCH 31, 2019

Predictive Analytics Techniques That Are Easy Enough for Business Users! There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Forecasting 40

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smarten

JUNE 8, 2023

Working with real-time, clear, accurate information can make all the difference. Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

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

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 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

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 100

Finance Forecasting IoT Predictive Modeling 100

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.

Predictive Analytics 67

Predictive Analytics Software Predictive Modeling Analytics 67

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. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

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

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 166

Analytics Machine Learning Data Science Deep Learning 166

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 133

Modeling Machine Learning Forecasting Optimization 133

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 127

Big Data Data Analytics Analytics Predictive Modeling 127

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.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

APRIL 21, 2022

This will as well ensure accuracy in forecasting power generation rates and respective grid adjustments. To properly optimize the overall solar farm efficiency, every solar panel must operate at its peak capacity. To optimize solar farm operations, the farm will require the incorporation of IoT technologies.

IoT 100

IoT Internet of Things Forecasting Predictive Modeling 100

BI-Survey

JANUARY 29, 2023

Companies are therefore looking for ways to produce their plans and forecasts in less time, with less effort and with better results, because in a volatile market environment characterized by crises, there can no longer be “business as usual”, even in corporate planning. This also increasingly applies to forecasts and simulations.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 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. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

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?

Metadata 84

Metadata Data Warehouse Forecasting Predictive Modeling 84

Smarten

JUNE 8, 2022

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

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. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

Sisense

JANUARY 26, 2020

The process of producing goods is an enormous opportunity for data optimization. Because the steps are repeated so many times through the process, a small edge created via predictive analytics in manufacturing will be magnified at every repetition to produce significant benefit. Improve forecasts and maximize revenue.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

bridgei2i

AUGUST 28, 2020

A leading CPG manufacturer wanted to create a centralized planning system backed by AI-driven predictive modelling to drive consensus across multiple business functions and leverage synergy. How BRIDGEi2i Delivered Value?

Business Driver 52

Business Driver Predictive Modeling Manufacturing Forecasting 52

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

MAY 6, 2024

Predicting site performance, spotting underperforming sites and formulating timely interventions are essential. Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement.

Advertising 57

Advertising Data-driven Optimization Strategy 57

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

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

Predictive Modeling Predictive Analytics Forecasting Optimization 40

Smart Data Collective

SEPTEMBER 30, 2021

2 Through artificial intelligence-based prediction, there can be improvement in decision making regarding droughts and better methods and timing employed to ensure optimal water resource allocation and disseminating information ahead of drought events. Optimization of Electric Vehicle Charging. Wildlife Conservation.

Machine Learning 121

Machine Learning Cost-Benefit Optimization Forecasting 121

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Marketing Optimization. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

Sisense

MARCH 7, 2021

Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. Measuremen: Optimizing facilities use with data from numerous sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Smarten

JANUARY 24, 2019

Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. What is Automated Machine Learning?

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

MAY 15, 2019

If an organization is going to successfully target customers and make optimal use of its marketing budget, it must understand customer buying behavior, and categorize its products and services to target the right customer segments and preferences. Marketing Optimization. Predictive Analytics Using External Data. Loan Approval.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

Smarten

MAY 13, 2019

The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51