Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

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

Decision Management Solutions

MARCH 25, 2019

Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. 1 – Getting business buy-in. 2 – Attracting talent.

Insurance 75

Insurance Data Science Testing Modeling 75

Smart Data Collective

AUGUST 29, 2022

For example, insurance companies use cluster analysis to detect false claims, while banks use it to assess creditworthiness. Predictive analytics. Predictive analytics uses historical data to predict future trends and models , determine relationships, identify patterns, find associations, and more.

Analytics 114

Analytics Predictive Analytics Machine Learning Insurance 114

Smarten

JULY 30, 2018

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

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? In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 123

Data Analytics Diagnostic Analytics Management Analytics 123

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Decision Management Solutions

FEBRUARY 25, 2019

To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims. Design and build a decision model.

Insurance 40

Insurance Management Machine Learning Modeling 40

Smart Data Collective

DECEMBER 9, 2020

Consumers are also looking for new machine learning tools to help mitigate their daily risks and solve some of their most perplexing challenges. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. How nuanced can these machine learning risk analyses really be?

Machine Learning 141

Machine Learning Risk Insurance Predictive Analytics 141

Smart Data Collective

DECEMBER 12, 2020

An evolving nature of machine learning and unique algorithms are being leveraged within the financial trading industry to compute a large number of data sets to make better and more accurate predictions and to help humans make better and more prudent decisions. Financial Models. Risk Assessment. Better Cybersecurity.

Big Data 136

Big Data Machine Learning Finance Predictive Modeling 136

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 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The algorithm learned to identify children, not high-risk patients.

Analytics 141

Analytics Machine Learning Insurance Testing 141

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. A simple example is the case of missing values.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

MARCH 3, 2021

But if they use predictive analytics, they can determine how much each case pays out, considering factors as the number of previous cases filled with the same judge. When the risk of recurrence for a malpractice case is high, for example, they can convince the judge to be more generous in rewarding the client.

Analytics 126

Analytics Big Data Predictive Modeling Insurance 126

Smart Data Collective

MAY 21, 2019

There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. Insurance providers might require them to have adequate safeguards to get compensated for any damages.

Big Data 77

Big Data Cost-Benefit Predictive Analytics Insurance 77

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Smart Data Collective

JANUARY 12, 2022

Specific Ways Small Businesses Can Use Data Analytics to Resolve Financial Problems. Fraud risks. Small businesses suffer the greatest risks of fraud. A growing number of businesses are using data analytics for fraud scoring. Data analytics tools can help you figure out how to improve your credit score.

Data Analytics 116

Data Analytics Analytics Finance Data mining 116

Smart Data Collective

SEPTEMBER 28, 2022

This reduces the risk that inaccurate information will be used in your organization’s decision-making, which could result in poor business outcomes. Information management mitigates the risk of errors. Errors can be costly and time-consuming, so the more you reduce the risk of errors, the better. Conclusion.

Big Data 104

Big Data Management Data Quality Cost-Benefit 104

IBM Big Data Hub

JULY 11, 2023

AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. Census Bureau , 28 million Americans didn’t have health insurance in 2020, and even those with insurance don’t always have coverage for every type of screening they need.

Deep Learning 55

Deep Learning Cost-Benefit Insurance Machine Learning 55

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Can we model the impact for such structural shocks?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

NOVEMBER 12, 2021

You should use big data to improve your outsourcing models by data mining pools of talented employees. Data-Driven Businesses Are Shifting More Towards Outsourcing Models. Instead, your area of expertise could be selling books, providing insurance, or creating jewelry. However, the converse approach can also be useful.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

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. It also lets companies provide users with the data they need to complete their jobs more effectively, and even assists in predictive analytics.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Decision Management Solutions

MARCH 12, 2020

Neal Silbert of DataRobot had an interesting post on the DataRobot blog last week – Outcome-Based Claims Assignment: The “New Grail” of Insurance. These review assignments are based on things like the complexity of the claim as well as various risk factors. Develop a decision model of your claims handling decision.

Insurance 69

Insurance Modeling Testing Management 69

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Domino Data Lab

JANUARY 24, 2019

These solutions help data analysts build models by automating tasks in data science, including training models, selecting algorithms, and creating features. These tools support a breadth of use cases including data science, data engineering, and model operations. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” Predictive analytics, yeah, not so much.” Key highlights from the session include. Transcript. ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52