Decision Management Solutions

MARCH 25, 2021

How Decision Modeling Reduces Complexity in Regulated Industries. Organizations in highly regulated industries like healthcare, finance, insurance, and energy are constantly wrestling with how to balance risk and profitability. Decision Modeler, Decision Management Solutions. Decision Modeler, Decision Management Solutions.

Modeling 52

Modeling Data Processing Insurance Finance 52

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? For example, how might social media spending affect sales? It is frequently used for risk analysis.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

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. Begin with an agile analytic deployment platform, not with visualization. What’s stopping them from delivering high impact?

Insurance 40

Insurance Analytics Modeling Visualization 40

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Octopai

DECEMBER 11, 2022

Insurance companies misvalued or misreported on insurance contracts (which, to be fair, are notoriously hard to compare with precision). Instead of using internal models to decide how much capital they need to cover risks, banks now need to use standardized models for many types of assets. Enter: BCBS 239!

Insurance 52

Insurance Risk Metadata Reporting 52

CIO Business Intelligence

JUNE 16, 2022

Its system, called the Transformation Acceleration Platform, is designed to capture all types of workflows, but Arrayworks maintains a particular focus on insurance automation. Its Connected Insurance system offers customized workflows to speed up all aspects of insurance. AuraQuantic. Bonitasoft. IBM Business Process Manager.

Management 115

Management Insurance Software Digital Transformation 115

Decision Management Solutions

JULY 24, 2023

If you are already focusing on operational decision making – building decision models or implementing business rules or both – then you can immediately identify ML/AI opportunities. These can almost always be replaced with ML/AI models. Find sub decisions that involve human analysis of historical data.

Insurance 52

Insurance Visualization Modeling Interactive 52

Decision Management Solutions

OCTOBER 12, 2022

When it comes to insurance claims, there’s always a difference between normal operations and a disaster, like the recent hurricane in Florida. We give those who understand the business policies and regulatory environment a visual blueprint of the automated decision-making (a decision model). .

Insurance 52

Insurance Machine Learning Modeling Data Collection 52

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 82

Cost-Benefit Modeling Manufacturing Interactive 82

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. What hardware, software, and cloud services are used for scaling?

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Decision Management Solutions

JANUARY 3, 2023

Some years ago, we worked with a health insurer with a typical manual claims process. The insurer had made lots of technology investments in new channels like chatbots, mobile applications, online claims submission and even API-based submission direct from hospitals. Business problem – manual claims decisions.

Insurance 52

Insurance Machine Learning Dashboards Visualization 52

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. Objectives and Usage.

Predictive Analytics 117

Predictive Analytics Analytics Predictive Modeling Data mining 117

Smart Data Collective

NOVEMBER 1, 2020

Unlike supervised ML, we do not manage the unsupervised model. Besides data mining, this tool is in-demand in the following fields: Market segmentation; Document clustering; Image segmentation; Pattern recognition; Insurance fraud detection and others. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics.

Machine Learning 130

Machine Learning Data mining Visualization Statistics 130

CIO Business Intelligence

AUGUST 14, 2023

So IT did a micro transformation dubbed “eCampus,” leveraging the existing framework for online education via a shared services model. Switching to a one-to-many model has enabled innovation to continue at a steady pace, Ferguson says. That means if a class can be online, students want that option.

IT 88

IT Insurance Digital Transformation Broadcasting 88

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. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

FineReport

APRIL 9, 2024

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. Maximizing the impact on patient care involves harnessing healthcare data visualization tools to present these personalized insights in a comprehensible manner.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. Insurance Dashboard (by FineReport). BI dashboard (by FineReport). Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

JULY 21, 2021

Organizations of all sizes and stages can use BI software to analyze, manage, and visualize business data. Based on business data, BI visualizes business problems through graphics and models. Insurance Dashboard(by FineReport). The Use of BI in the Enterprise. Here are a few ways and samples of enterprise BI applications.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

DataRobot

JUNE 23, 2021

As they strive to improve models, data scientists continually try new approaches to refine their predictions. After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. So let’s dig in!

Machine Learning 52

Machine Learning Modeling Experimentation Visualization 52

CIO Business Intelligence

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Now some AI architects are eyeing the long-forgotten model of analog computation where values are expressed as voltages or currents.

IT 140

IT Scorecard Software Modeling 140

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smart Data Collective

JANUARY 26, 2022

Data visualization methods, such as graphs and charts, reveal trends and insights in an instant. Improved Insurance Claim Processing. That’s a great challenger for insurance agencies. But things have changed, and seamless software dashboards give critical team members real-time access to the most recent data.

Data Analytics 69

Data Analytics Analytics Predictive Analytics Insurance 69

Smart Data Collective

JUNE 23, 2022

Here are some financial analytics tools that are worth exploring: TrendingView is a financial analytics tool that helps you create useful financial visualizations. The right data analytics tools can be very valuable. FactSet Research Management is a financial analytics tool that helps companies take advantage of opportunities more quickly.

Analytics 101

Analytics Data mining Finance Insurance 101

Birst BI

JANUARY 16, 2018

But to build that dashboard, someone has to assemble all the components, the key performance indicators (KPIs), the data visualizations, and all of the dashboard’s data feeds. The BI system can discover business-critical relationships in the data and automatically build visualizations and dashboards.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

AWS Big Data

JUNE 6, 2023

Data engineers must then write code to monitor data pipelines, visualize quality scores, and alert them when anomalies occur. This simple pricing model doesn’t lock you into annual licenses. They have to then review the data statistics to identify data quality rules, and write code to implement these checks in their data pipelines.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Occam's Razor

JANUARY 4, 2021

Just yesterday I was quietly seething because none of visuals included in the report contained any context to understand if the performance I was looking at was good or bad. To up-level your reports, ruthlessly kill metrics, dimensions, time periods, segments, pages, visuals, data that's only there to show how clever you are, etc.

Reporting 113

Reporting Analytics Metrics Visualization 113

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. We foresee organizations pivoting focus beyond the algorithm to things like business-ready predictive dashboards, visualizations, and applications that simplify the use of AI systems to reach conclusions.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Domino Data Lab

JULY 28, 2021

In its current form , data science is limitless in terms of industry and application; the only requirement is data, compute power, data scientists, and a desire to become model-driven. These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance. The Data Science Toolkit.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

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. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

AWS Big Data

MARCH 7, 2023

It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights. It helps you build, train, and deploy models consuming the data from repositories in the data hub. Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 87

Insurance Data Architecture Risk Management Risk 87

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

Occam's Razor

OCTOBER 15, 2012

Think of it as attribution modeling. :). In this report you also get this lovely visual: It is a little complicated, but stick with me. For the insurance business I'm interested in knowing the % of purchases online and offline, and people who either researched online one, offline only or did not research at all. [In

Advertising 136

Advertising Marketing Strategy Insurance 136

bridgei2i

NOVEMBER 3, 2021

I’m a director at BRIDGEi2i, and I lead the intelligent operations practice, where we focus on reimagining processes and business models through innovative AI-enabled solutions across manufacturing, supply chain, and services automation. What we have seen is that we have adopted a fit-to-purpose teams model.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52