CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smarten

MAY 16, 2019

Using marketing and advertising dollars to target the general market is not a wise use of funding. Every business today is challenged to do more with less and marketing budgets are no exception. Learn More: Marketing Optimization. View the Marketing Optimization Use Case Slide Share. Online Target Marketing.

Predictive Analytics 56

Predictive Analytics Optimization Marketing Analytics 56

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Most customer data, however, are housed in separate data silos.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smarten

MAY 17, 2019

To make the most out of online marketing, every organization must target the customers with the most promising profile. 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. Marketing Optimization.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

Smarten

APRIL 10, 2023

Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? Data Scientists can create and re-purpose analytical models and focus on strategic initiatives.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Dataiku

FEBRUARY 29, 2024

The most successful companies address it by building predictive models that accurately predict churn; then they take action by building targeted marketing campaigns around preventing it or by making product changes that combat churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Marketing 52

Smarten

JULY 23, 2019

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. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

IBM Big Data Hub

APRIL 1, 2024

We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers. Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level.

Predictive Analytics 84

Predictive Analytics Sales Enterprise Predictive Modeling 84

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

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 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

BizAcuity

APRIL 25, 2022

Marketing a business with legal and regulatory complications is no less than navigating a minefield. Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Casino Marketing matters.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. 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 134

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 134

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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.’ Market Changes. Access to Flexible, Intuitive Predictive Modeling. Online Target Marketing.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios.

Finance 103

Finance Forecasting IoT Predictive Modeling 103

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Marketing Optimization. Online Target Marketing.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” The new Forrester Wave™ report details how IBM compares with other vendors in the AI-decisioning landscape based on current offering, strategy and market presence scores. .

Reporting 94

Reporting Scorecard Predictive Modeling Machine Learning 94

CIO Business Intelligence

MAY 9, 2024

Collaboration also includes working with product teams on go-to-market opportunities. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.

Risk Management 128

Risk Management Risk Cost-Benefit Technology 128

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

APRIL 12, 2023

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

DataRobot

NOVEMBER 24, 2021

But as the COVID-19 pandemic has shown, getting products to market as quickly as possible can even save thousands of lives. As recent turmoil in world markets has shown, businesses cannot meet their revenue goals unless they can deliver their products to the people who want to buy them. Streamline New Product Development. Download Now.

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

IBM Big Data Hub

MAY 6, 2024

Ineffective outreach : Clinical trial marketing efforts sometimes miss the mark. 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.

Advertising 57

Advertising Data-driven Optimization Strategy 57

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 79

Unstructured Data Consulting Visualization IoT 79

Smarten

MAY 14, 2019

Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments. Marketing Optimization.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Appliance-based models are usually significantly more expensive than disaggregated solutions.

Data Architecture 63

Data Architecture Predictive Modeling Data Governance Data-driven 63

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. In a perfect world you would know precisely how much of your product the market desires, and you would be able to produce and ship exactly that amount to every location where your customers would be waiting, ready to buy.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Smarten

JUNE 8, 2022

Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. The business wants to use predictive analytics to identify those customers who were most likely to leave and develop processes and strategies to improve customer retention and reduce customer churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smarten

OCTOBER 25, 2023

Today’s competitive markets require access to crucial information in an environment that is easy to use and easy to understand. Mobile BI is a system that integrates enterprise data and makes it accessible on mobile devices using technology, analytics, and visualization to present historical or real-time information for analysis.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

Smarten

JUNE 8, 2023

External forces from the global pandemic, combined with market competition have created an expectation on the part of team members who want to be able to work from home or other locations. Improved Time-to-Market No business can afford to fall behind! Today’s work environs are increasingly flexible.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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. Marketing Optimization. Maintenance Management.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

CIO Business Intelligence

OCTOBER 5, 2023

“We’ve seen so many initiatives fail when it’s technology for technology’s sake,” says Davé, who suggests two means of avoiding this mistake: prioritization models aligned to your business strategy and strategic partnerships. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

CIO Business Intelligence

AUGUST 23, 2023

That need for complex mathematical modeling at scale makes the finance industry a perfect candidate for the promise of quantum computing, which makes (extremely) quick work of computations, including complex ones, delivering results in minutes or hours instead of weeks and months.

IT 90

IT Machine Learning Risk Optimization 90

FineReport

APRIL 21, 2024

Why SaaS BI Tools Matter The Shift to Cloud-Based Data Analysis The global market for SaaS-based Business Intelligence is experiencing significant growth, driven by factors such as cost-effectiveness, scalability, and real-time data access.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

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