CIO Business Intelligence

JUNE 7, 2022

It can be used to reveal structures in data — insurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Data analytics vs. business analytics. Business analytics is another subset of data analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Decision Management Solutions

NOVEMBER 13, 2018

80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. Insurance companies, like other companies, want their analytics investments to be strategic – to have a strategic impact.

Insurance 40

Insurance Analytics Modeling Visualization 40

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. Learn More: Online Target Marketing Use Case. Customer Targeting.

Predictive Analytics 53

Predictive Analytics Marketing Analytics Predictive Modeling 53

Juice Analytics

MARCH 11, 2021

Predictive models to take descriptive data and attempt to tell the future. The right product manager We’ve helped launch data products in many industries including healthcare, education, insurance, advertising and market research. She enhances data through predictive modeling and other advanced data analytics techniques.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Sisense

MARCH 27, 2019

Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. By combining with historic trends, they can also create predictive models for ordering that automate time-consuming tasks. Who Uses Real-Time BI? What are the Real-Time BI Best Practices?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In 2017, additional regulation targeted much smaller financial institutions in the U.S.

Risk 111

Risk Modeling IT Risk Management 111

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

John Wheeler

OCTOBER 20, 2020

banking, insurance and securities) measure risk on a quantitative basis. Other quantitative analysis methods are used to develop more precise predictive models to determine the potential for digital risk events, such as product/service liability, fraud or theft.

Risk Management 52

Risk Management Risk Insurance Predictive Modeling 52

CIO Business Intelligence

JULY 26, 2023

We’ve been on a journey for the last six years or so to build out our platforms,” says Cox, noting that Keller Williams uses MLS, demographic, product, insurance, and geospatial data globally to fill its data lake. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

AWS Big Data

AUGUST 21, 2024

He has over 19 years of experience in building data assets and leading complex data platform programs for banking and insurance clients across the globe. Analytics Specialist Solutions Architect based out of Atlanta, specialized in building enterprise data platforms, data warehousing, and analytics solutions.

Optimization 88

Optimization Data Lake Data Warehouse Cost-Benefit 88

Smarten

MAY 16, 2019

Advanced analytics solutions are perfect for credit unions, banks, insurance businesses, auto and real estate loan processes. When applied to the loan approval process, predictive analytics can improve productivity and optimize resources and it can decrease loan defaults and help the business to capitalize on available funds.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

Smarten

JULY 30, 2018

Assisted Predictive Modeling can support business users, IT staff and other users by providing recommendations in gathering, formatting and presenting data to improve the effectiveness and clarity of resulting data and reporting.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

DataRobot Blog

MAY 25, 2022

Using either the code-centric DataRobot Core or no-code Graphical User Interface (GUI), both data scientists and non-data scientists such as risk analysts, government experts, or first responders can build, compare, explain, and deploy their own models.

Risk 52

Risk Insurance Predictive Modeling Predictive Analytics 52

DataRobot

NOVEMBER 15, 2021

This will be further expanded to energy, life sciences, insurance, government, telecommunications and media organizations in 2022. With DataRobot AI Cloud for Industries, we’re excited to announce expanded partner-delivered and partner-enabled offerings for these key industries with our growing ecosystem of strategic partners.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 26, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

CIO Business Intelligence

AUGUST 15, 2023

The Behavioral Health Acuity Risk (BHAR) model leverages a machine learning technique called random forests, which can be natively hosted in the electronic health record and updated in near-real time, with results immediately available to clinical staff.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Smarten

JULY 10, 2018

Use Case(s): Determine if a product sells better in certain locations, verify if gender has an influence on purchasing decisions, Identify if demographic factors influence banking channel/product/service preference or selection of a type of term insurance plan and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

AWS Big Data

MARCH 7, 2023

These are just some of the KPIs and metrics that are key for predictive modeling of events as the game acquires new players while keeping existing users involved, engaged, and playing. User to user interactions – Invitations, gifting, chats (private and group), challenges, and so on during an event.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Domino Data Lab

AUGUST 20, 2019

Another example is the use of body mass index (BMI) by medical providers and insurance companies. Some of the benefits of rescaling become more prominent when we move beyond predictive modeling and start making statistical or causal claims. Numerically, these values have very different weight. Discretization.

Testing 68

Testing Modeling Interactive Measurement 68

O'Reilly on Data

MAY 18, 2020

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” In the context of AI incidents, this complexity is problematic because it can make audits, debugging, and simply even understanding what went wrong nearly impossible.

Risk 364

Risk Modeling Data Processing Reporting 364

IBM Big Data Hub

FEBRUARY 14, 2024

Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions. Insurance With AI, the insurance industry can virtually eliminate the need for manual rate calculations or payments and can simplify processing claims and appraisals.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

AUGUST 1, 2021

plot.barh(figsize=(10,12)); We see that the top 5 features with most significant influence on the prediction are: checking_account_A14: absence of a checking account status_A93: personal status and sex – single male property_A123: owns property different to real estate, savings agreement, or life insurance (e.g.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

MARCH 25, 2025

Finance & Insurance and Manufacturing dominate AI adoption: The Finance & Insurance (28.4%) and Manufacturing (21.6%) sectors generated the most AI/ML traffic. AI-powered breach prediction: Preempt potential breach scenarios using generative AI and multi-dimensional predictive models.

Enterprise 110

Enterprise Insurance Data-driven Manufacturing 110

Smart Data Collective

DECEMBER 12, 2020

These analytics are much more accurate and include more data that allows better predictive models to be created. These things can end up resulting in much more precision in predictions which can help to minimize the risk associated with making financial trading decisions. Better Cybersecurity.

Big Data 140

Big Data Machine Learning Finance Insurance 140