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. Customer Churn.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

Smarten

MAY 16, 2019

In the interim, there is loss of productivity and the risk of crucial mistakes. Advanced analytics can help you to identify areas of dissatisfaction and understand the activities, processes, benefits, training and the work environment that encourages productivity and ensures employee satisfaction. Marketing Optimization.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Cost-Benefit 51

Smarten

MAY 16, 2019

Perhaps the greatest risk to a lending organization is that presented by loan applicants who are unprepared to fulfill the long-term obligation of paying off a loan. Predictive analytics can be a crucial piece of the puzzle in supporting the loan approval process and monitoring and managing loans throughout the life cycle of the contract.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

Smart Data Collective

NOVEMBER 7, 2019

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention. There are three ways to deal with this issue…”.

Predictive Analytics 47

Predictive Analytics Analytics Cost-Benefit Risk 47

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Risk Management Applications for Analyzing Big Data.

Risk Management 70

Risk Management Risk Management Big Data 70

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

Smart Data Collective

JULY 16, 2023

According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management.

ROI 71

ROI Data Analytics Analytics Risk Management 71

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Smart Data Collective

APRIL 20, 2023

Optimizing Bill Of Materials Bill of materials (BOM) is crucial to every factory’s production process. With AI, a business can optimize its BOM to improve its bottom line effectively. These allow them to identify which materials and components are most cost-effective and provide recommendations on optimizing the BOM to reduce costs.

Cost-Benefit 82

Cost-Benefit Predictive Analytics Optimization Machine Learning 82

CIO Business Intelligence

APRIL 11, 2024

Governments cannot put their head in the sand and ignore change, but they operate in a highly complex, data-sensitive environment and can’t afford to take on fundamental business risks in the name of innovation. You don’t have to risk resiliency to embrace innovation. You don’t have to rip out what’s working for your business.

Cost-Benefit 105

Cost-Benefit Predictive Analytics Data-driven Risk 105

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Better customer satisfaction : An optimized supply chain allows businesses to make sure products are available when and where people want them—which can improve relationships and loyalty with customers.

Strategy 87

Strategy Management Forecasting Cost-Benefit 87

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. A testament to the rising role of optimization in logistics. Why are logistics companies so interested in optimization?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

SEPTEMBER 15, 2019

One of the biggest ways that it is disrupting the industry is by creating new engagement strategies and optimizing relationships. Spotify developed a new tool last year called Publishing Analytics that helps music companies get the most value of their data. Choosing a niche with big data and predictive analytics.

Big Data 78

Big Data Optimization Insurance Predictive Analytics 78

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

Smart Data Collective

JUNE 18, 2019

So, while poor security doesn’t mean your website will have trouble gaining rankings, it means that your risk of losing rankings eventually is higher. One is the evolution of predictive analytics. Predictive analytics is very important in preventing cyberattacks, as Digitalist Magazine points out.

Data Processing 69

Data Processing Big Data Optimization Machine Learning 69

IBM Big Data Hub

MAY 17, 2024

But as businesses around the globe rapidly adopt the technology to augment processes from merchandising to order management, there is some risk. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 70

B2B Interactive Optimization Forecasting 70

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Smart manufacturing at scale is a challenge. “We

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Smarten

FEBRUARY 8, 2023

Quality Control Businesses that fail to control quality will lose customers and market share and, in some cases, expose the organization to legal risk and liability. Predictive Analytics Using External Data The ability to integrate data from sources outside the enterprise is crucial to many businesses.

Analytics 52

Analytics Advertising Predictive Analytics Optimization 52

datapine

MARCH 8, 2021

Healthcare reports, or healthcare reporting, are a data-driven means of benchmarking the performance of specific processes or functions within a healthcare institution, with the primary aim of increasing efficiency, reducing errors, and optimizing healthcare metrics. Disease monitoring.

Reporting 198

Reporting KPI Management Cost-Benefit 198

Smarten

JUNE 8, 2022

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. What follows is a short list of sample use cases that leverage predictive analytics. Predicting Demand. Analyzing Customer Churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Decision Management Solutions

MAY 1, 2019

Manage Risk Better , and 3. By using decision management technologies like business rules, predictive analytics, machine learning, and artificial intelligence, insurance carriers can increase their straight through processing rates and focus team members on higher value activities. Sell More , 2. Cost Less to Operate.

Insurance 75

Insurance Technology Predictive Analytics Risk 75

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 61

Cost-Benefit Finance Optimization Key Performance Indicator 61

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. We get optimized price/performance on complex workloads over massive scale data.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Smart Data Collective

JUNE 8, 2023

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. Coaches can analyze formations, player movements, and positioning to identify areas of improvement and optimize strategies.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 85

Cost-Benefit Measurement Management Predictive Analytics 85

Smarten

MAY 13, 2019

While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. Businesses that are proactive in identifying these risks can better optimize resources and respond to changing trends and patterns.

Predictive Analytics 11

Predictive Analytics Analytics Predictive Modeling Risk 11

IBM Big Data Hub

OCTOBER 30, 2023

IBM and AWS partnership focuses on delivering solutions in areas like: Supply chain optimization with AI-infused Planning Analytics IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

Smart Data Collective

SEPTEMBER 7, 2021

Such predictive analytics can help to define what products will spike the biggest interest of the audience. Setting the optimal prices. With predictive analytics and real-time information about products, retailers can avoid supply shortages, optimise the storage facility so that most popular items are easy to reach, etc.

Big Data 124

Big Data Technology Cost-Benefit Predictive Analytics 124

IBM Big Data Hub

JUNE 29, 2023

For example, the sales department might develop a plan to enter new markets or launch new products, while the supply chain department focuses on inventory optimization and ensuring efficient logistics. Optimal resource allocation Integrated Business Planning enables organizations to optimize resource allocation across different functions.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Search engine optimization (SEO): Deploying an AI solution to enhance search engine optimization (SEO) helps marketers increase page rankings and develop more sound strategies.

Marketing 84

Marketing Technology Advertising ROI 84

Smart Data Collective

NOVEMBER 25, 2019

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

CIO Business Intelligence

MARCH 14, 2022

So, it follows that there’s an optimal level of data where collecting further information won’t be worth the added cost. That optimal point is when additional data will not meaningfully change your decision. That could be acceptable if the risk of getting it wrong is acceptable. I call this point data saturation.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. Drilling operations optimization : Drilling operations are complex and costly.

Technology 56

Technology Cost-Benefit Optimization Internet of Things 56