erwin

MARCH 30, 2020

This data will be collected from organizations such as, the World Health Organization (WHO), the Centers for Disease Control (CDC), and state and local governments across the globe. Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

IBM Big Data Hub

MAY 9, 2024

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. All this relies on reliable data and requires data lineage for governance.

Data Governance 68

Data Governance Data Quality Insurance Predictive Analytics 68

Cloudera

MARCH 3, 2022

It’s believed the source of the breach was Marriott’s Starwood subsidiary and Marriott might not have done due diligence when merging its newly acquired subsidiary’s data into its own databases. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. From Bad to Worse.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This universe of metadata represents a treasure trove of connected information.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Ontotext

JANUARY 29, 2024

As companies in almost every market segment attempt to continuously enhance and modernize data management practices to drive greater business outcomes, organizations will be watching numerous trends emerge this year. This is because although generative AI can replace people in some cases, there is no professional liability insurance for LLMs.

Strategy 52

Strategy Management Metadata Data-driven 52

Alation

MAY 31, 2023

Four fantastic Alation customers will be joining us to share their stories: Electronic Arts (EA), Thermo Fisher Scientific, Lincoln Financial Group, and American Family Insurance (AmFam). If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

erwin

APRIL 11, 2019

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 141

Data Governance IT Risk Data Lake 141

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

Cloudera

JULY 20, 2021

Risk models for financial institutions and insurers are exponentially more complicated . So relying upon the past for future insights with data that is outdated due to changing customer preferences, the hyper-competitive world and emphasis on environment, society and governance produces non-relevant insights and sub-optimized returns.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Alation

DECEMBER 2, 2022

Companies in every industry have been trying to create a more data-driven culture for years. Texas Mutual Insurance Company accelerates DDDM to make competitive choices within 24 hours. Airline Reporting Corporation supports DDDM with a data catalog to develop new data-centric products and accelerate time-to-market.

Data-driven 52

Data-driven Insurance ROI Metadata 52

erwin

MARCH 14, 2019

In turn, data professionals’ time can be put to much better, proactive use, rather than them being bogged down with reactive, house-keeping tasks. BFSI, PHARMA, INSURANCE AND NON-PROFIT) CASE STUDIES FOR AUTOMATED METADATA-DRIVEN AUTOMATION. FOUR INDUSTRY FOCUSSED. Therefore, changes (e.g.,

Metadata 81

Metadata Data Governance Digital Transformation Data-driven 81

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Alation

AUGUST 11, 2021

It’s time to migrate your business data to the Snowflake Data Cloud. To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. The following figure shows the sample data products used in our solution.

Technology 85

Technology Data-driven Machine Learning Sales 85

Timo Elliott

JANUARY 5, 2022

The first one is: companies should invest more in improving their data quality before doing anything else. You must master your metadata and make sure that everything is lined up. To make a big step forward with data science, you first need to do that painful work. That’s an awful waste of resources.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Insurance 115

AWS Big Data

AUGUST 14, 2023

For example, an insurance company with a property and casualty legal entity in North America and a life entity in Germany may need to implement DPPM separately within each entity. In some cases, the existence of boundaries may require some or all tactical and operational practices to be duplicated within each associated boundary.

Management 81

Management Risk Measurement Optimization 81

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This required additional investments in metadata.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Alation

FEBRUARY 13, 2020

What’s going on with the whole data at the center? One is that idea of the center and the other is your point about data quality and data trust. The other thing in terms of that data quality and data trustworthiness has been a differentiator. This is certified data. Aaron : Absolutely.

ROI 52

ROI Data-driven Finance Data Quality 52

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 performance and data quality is imperative? We cannot of course forget metadata management tools, of which there are many different. Tools there are a plenty.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109