Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Insurance 98

Insurance Data Governance Data-driven Data Quality 98

DataKitchen

OCTOBER 20, 2023

While this is a technically demanding task, the advent of ‘Payload’ Data Journeys (DJs) offers a targeted approach to meet the increasingly specific demands of Data Consumers. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

Cloudera

SEPTEMBER 7, 2023

With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.

Insurance 83

Insurance Risk Data-driven Finance 83

Smart Data Collective

SEPTEMBER 28, 2022

One of the most important is that it helps to increase the reliability of your data. Data quality issues can arise from a variety of sources, including: Duplicate records Missing records Incorrect data. The proper use of data management solutions can help you identify these problems and correct them quickly and easily.

Big Data 126

Big Data Management Data Quality Cost-Benefit 126

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

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

CIO Business Intelligence

SEPTEMBER 30, 2024

-based research firm is proud of its mission to deliver accurate data to ensure goods and services are distributed with equity and precision in a socially just manner.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

erwin

DECEMBER 9, 2024

And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them? Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk?

Metadata 52

Metadata Data Quality Sales Modeling 52

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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 100

Data Governance Enterprise Data Quality Metadata 100

CIO Business Intelligence

JANUARY 31, 2023

Being able to look at the mix of applications as a whole, and trying to understand how that creates value or risk, enables you to make the case for change, or even maintain the status quo,” says enterprise architect Jonathan Gregory, currently at the UK’s Houses of Parliament.

Enterprise 138

Enterprise Digital Transformation Risk Visualization 138

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 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Find Trusted Data.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

JUNE 7, 2022

billion in cost savings for the insurance industry as well during the same period. . For banks, brokerages, insurance companies, fintech firms, and other financial services organizations, NLP is increasingly being seen as a solution to too much data and too few employees. The same study estimated that chatbots would lead to $1.3

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Analytics 126

Analytics Data mining Finance Analytics Technologies 126

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Document assumptions and risks to develop a risk management strategy. For a credit risk model, the target could be defined as “fully repays loan” or “payments in first 2 years are current” or or “collateral is repossessed.”. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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 106

Manufacturing Forecasting IoT Insurance 106

Alation

JUNE 17, 2021

Joint Success with Texas Mutual Insurance. Our most influential customers frequently highlight the importance of data governance when attempting to mobilize data across their organizations,” says Chris Atkinson, Global Partner CTO, Snowflake. Texas Mutual Insurance Company (TXM) is one joint customer of Snowflake and Alation.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

CIO Business Intelligence

MAY 27, 2024

Business leaders 10 years ago mostly focused on automation since the main objective of technology investment then was to drive down costs, decrease risk, and boost efficiency. These capabilities will need to be able to react to changing outcomes with predictable risk/reward scenarios. It’s a different world today.

IT 105

IT Strategy Risk Technology 105

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. This was the leading obstacle to high impact analytics, outscoring even poor data quality or a lack of strategic support or alignment.

Insurance 40

Insurance Analytics Modeling Visualization 40

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Without metadata, the organization is at risk of making decisions based on the wrong data.”.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

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 66

Data Governance Data Quality Insurance Predictive Analytics 66

IBM Big Data Hub

JANUARY 15, 2024

How do organizations avoid the digital risks of ‘technology misuse’ and achieve efficient innovation that ‘technology promotes production’? As an insurance company integrating technology into the new development landscape, BoB-Cardif Life Insurance Co.,

Digital Transformation 66

Digital Transformation Insurance Optimization ROI 66

Smart Data Collective

SEPTEMBER 25, 2019

million penalty for violating the Health Insurance Portability and Accountability Act, more commonly known as HIPAA. However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely.

Technology 102

Technology Statistics Strategy Insurance 102

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. When do new data products get created, and who is allowed to create them?

Management 98

Management Risk Measurement Optimization 98

CIO Business Intelligence

APRIL 6, 2022

Real-Time nature of data: The window of opportunity continues to shrink in our digital world. The risks of a breach are greater as well, from interrupted operations to stiff financial penalties for failing to adhere to industry regulations such as General Data Protection Regulation (GDPR). Just starting out with analytics?

Data mining 72

Data mining Deep Learning Insurance Visualization 72

Timo Elliott

JANUARY 5, 2022

The first one is: companies should invest more in improving their data quality before doing anything else. To make a big step forward with data science, you first need to do that painful work. They are already impacting industries such as agriculture and insurance. That’s an awful waste of resources.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Cloudera

AUGUST 31, 2021

Supports both Data Warehouse Experience & Data Warehouse with Data Hub Clusters on Cloudera Data Platform. Case Study: Accenture’s Experience on Legacy Data Warehouse Migration into Cloudera with a Health Insurance Company . Business Problem & Background. Value Achieved.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

DataRobot

JUNE 1, 2021

In an earlier post, I shared the four foundations of trusted performance in AI : data quality, accuracy, robustness and stability, and speed. Industries such as banking and credit, insurance, healthcare and biomedicine, hiring and employment, and housing are often tightly regulated. Meeting Regulatory Expectations.

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

CIO Business Intelligence

MARCH 7, 2024

Public LLMs in the sandbox: Safely test publicly available Large Language Models (LLMs) in a sandbox environment, separate from the production setting, to assess their impact without risking operational disruptions. There is also the concern about using data. This happens more frequently than we like to admit.

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Alation

OCTOBER 28, 2021

Leaders are asking how they might use data to drive smarter decision making to support this new model and improve medical treatments that lead to better outcomes. Yet this is not without risks. To make good on this potential, healthcare organizations need to understand their data and how they can use it.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Data Migration. Privacy, Risk and Compliance. Let’s take a closer look at the role of DI in the use case of data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

JULY 3, 2023

Interoperability within CareSource is achieved through a variety of ways: Health Information Exchange (HIE), direct connections to provider EHR systems, and partnerships with multiple companies to deliver critical information in the areas of clinical, claims, social determinant, and formulary data to our patients through secure means.

IT 52

IT Measurement Insurance Interactive 52

Peter James Thomas

JUNE 3, 2019

Such arrangements can generate business risk as well. In particular, in highly regulated industries heterogeneous treatment of the same data tends to be frowned upon in external reviews. Oxbow Partners are an advisory firm for the insurance industry covering Strategy, Digital and M&A.

Data Governance 45

Data Governance Cost-Benefit Insurance Data Quality 45