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 and data science are closely related. Generally, the output of data analytics are reports and visualizations.

Data Analytics 124

Data Analytics Diagnostic Analytics Management Analytics 124

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. They have to repeat these processes across thousands of datasets and the hundreds of data pipelines populating them.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

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. Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

AUGUST 20, 2019

Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc. However, due to the presence of 4 components, deriving actionable insights from Big data can be daunting.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

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. Once an accurate predictor of future behavior is identified, integrate the scoring measures directly into the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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 88

Insurance Data Architecture Risk Management Risk 88

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. Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76