Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. Insurance companies misvalued or misreported on insurance contracts (which, to be fair, are notoriously hard to compare with precision). Data lineage and financial risk data compliance.

Insurance 52

Insurance Risk Metadata Reporting 52

CIO Business Intelligence

JUNE 7, 2022

It is frequently used for risk analysis. 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. Generally, the output of data analytics are reports and visualizations.

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

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

CIO Business Intelligence

AUGUST 14, 2023

Typically quicker, micro transformations are more adaptable — and lower risk — than large-scale projects, helping organizations achieve tangible improvements faster. It was a cross-functional effort between GTO team members and MetLife’s pet insurance team, Pappas says.

IT 98

IT Insurance Digital Transformation Broadcasting 98

datapine

MAY 31, 2022

Be it in the form of online BI tools , or an online data visualization system, a company must address where and how to store its data. This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Jet Global

DECEMBER 9, 2020

When a cash crunch hits, the business managers who have optimized working capital will be better positioned to survive the crisis without resorting to costly financing, liquidating assets at the wrong time, or other desperate measures. Insurance and excise taxes may reduce as inventory levels decline. Lever 3: Accounts Payable.

Reporting 81

Reporting Finance Sales Measurement 81

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. Audio (56%) : Gen AI call centers with realistic audio assist customers and employees.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Birst BI

OCTOBER 30, 2018

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? A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

OCTOBER 21, 2020

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. If you put on too many workers, you run the risk of having unnecessary labor costs add up.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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.

Insurance 83

Insurance Data Architecture Risk Management Risk 83

Occam's Razor

OCTOBER 15, 2012

The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. In this report you also get this lovely visual: It is a little complicated, but stick with me. But this is not how many CxOs view things. You'll see four colored circles.

Advertising 136

Advertising Marketing Strategy Insurance 136

DataRobot Blog

JULY 21, 2022

If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Not every project needs machine learning.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.”

IT 98

IT Manufacturing IoT Cost-Benefit 98

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. Focus on the decisions first.

Insurance 40

Insurance Management Machine Learning Modeling 40

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. An integrated, out of the box visualization and dashboard service that is integrated across multiple compute options, to expedite cross-organization collaboration with a consistent visual language.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Smarten

JULY 10, 2018

Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more. Input data: Last six months daily viewer count data, insurance claim manager can forecast policy sales for next month based on past 12 months data and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). I double-dare you not to visualize that cohort! Legal concerns, risk, compliance.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. This is to be expected, as there is no reason for a perfect 50:50 separation of the good vs. bad credit risk. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Tableau buys Narrative Science.

Enterprise 143

Enterprise Technology Consulting Software 143

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. Some data is more a risk than valuable. Coding skills – SQL, Python or application familiarity – ETL & visualization? Would really like to explore this one in debate.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Once you’ve got the software, it’s time to test it out, assigning key roles and measuring progress.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

JUNE 25, 2021

A government key performance indicator (KPI) is a quantifiable measure that the public sector uses to evaluate its performance. This tool will help you understand what performance measures to track, and which dashboards best suit your needs. The baseline is measured when the KPIs are first identified. What are Government KPIs?

Reporting 104

Reporting KPI Metrics Measurement 104

Jet Global

NOVEMBER 16, 2021

A logistics key performance indicator (KPI) is a quantitative tool used by businesses to measure performance within their logistics department. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. Measurable: Is your metric quantifiable?

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84