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. 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.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Smarten

MAY 17, 2019

With the right advanced analytical tools, a business can combine internal and external data to understand and anticipate trends, patterns and factors that will affect the bottom line, the supply chain, resource and location planning and other aspects of business success. Learn More: Predictive Analytics Using External Data.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

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

Smarten

DECEMBER 4, 2017

What is Assisted Predictive Modeling? To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members and resources, new suppliers, new locations, new products, etc. Yes, plug n’ play predictive analysis must truly be plug and play!

Predictive Modeling 61

Predictive Modeling Modeling Predictive Analytics Forecasting 61

Smarten

MAY 15, 2019

Even with an unlimited budget, it would not be a wise decision for a business to target every customer in the market. Augmented analytics provides easy-to-use tools so business users can identify buying frequency, and understand the variables that influence a customer and cause them to buy a product or service. Marketing Optimization.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

Smarten

DECEMBER 15, 2017

Plug n’ Play Predictive Analysis for Accurate Forecasting! There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

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. Use Predictive Analytics to identify at risk customers and issues that will impact customer churn and customer retention. Marketing Optimization. Online Target Marketing.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. And, with Assisted Predictive Modeling , you can make these tasks even easier. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

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. Every business is operating in a rapidly changing competitive environment and market.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

APRIL 2, 2018

Can Business Users Adopt Assisted Predictive Modeling? Assisted predictive modeling is no longer the sole domain of data scientists and IT staff. Plug n’ Play Predictive Analysis can truly provide predictive analytics for business users and predictive analytics can benefit organizations in many ways.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence? This is the purview of BI.

Business Analytics 124

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 124

Smarten

MAY 2, 2018

Can Plug & Play Predictive Analytics Help Business Users Function Effectively? Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

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

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

Smarten

JUNE 8, 2022

What follows is a short list of sample use cases that leverage predictive analytics. These examples will help the reader to better understand how business users can leverage augmented analytics to perform tasks, refine results and make fact-based decisions on a daily basis.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. 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.

Data Analytics 127

Data Analytics Diagnostic Analytics Management Analytics 127

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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

Smarten

SEPTEMBER 19, 2017

Plug n’ Play Predictive Analytics Solutions for Every Business User! Predictive analysis is very important to your organization. But, your market is no different than any other market. If you are to fully leverage predictive analytics, you must provide easy-to-use assisted predictive modeling tool.

Predictive Analytics 63

Predictive Analytics Predictive Modeling ROI Forecasting 63

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. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 58

B2B Interactive Optimization Forecasting 58

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Sisense

SEPTEMBER 9, 2019

We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JANUARY 31, 2019

How is Advanced Analytics Different from Business Intelligence? 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.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

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 Cost-Benefit 40

Smarten

MAY 15, 2019

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. Marketing Optimization. Predictive Analytics Using External Data. Online Target Marketing. Customer Targeting.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Jedox

JULY 23, 2019

AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. This is a space that is largely unexplored and represents immense potential for us to understand, interpret, communicate and execute on these predictions. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

JUNE 29, 2018

For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop. Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

NOVEMBER 3, 2017

Business users are more likely to leverage these tools and to gain valuable insight and make confident decisions and predictions if they can use tools that support average skills and do not require advanced technical or analytical experience and knowledge. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Most BI software in the market are self-service.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Cloudera

SEPTEMBER 7, 2023

The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability. Glean insights into customer behavior and market trends that also correspond to overlooked sales opportunities.

Insurance 79

Insurance Risk Data-driven Finance 79

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. Manage a range of machine learning models with watstonx.ai

Machine Learning 81

Machine Learning Modeling Deep Learning Predictive Modeling 81