Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

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!” Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Risk 87

Risk Marketing Technology Management 87

Octopai

SEPTEMBER 22, 2019

Retail companies—both e-commerce and brick-and-mortar—as well as manufacturing, transportation, and services, have come to think of themselves as “data companies.” Perhaps nowhere is this truer than in the insurance industry, though. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud.

Metadata 41

Metadata Insurance Management Data Governance 41

CIO Business Intelligence

DECEMBER 7, 2023

Along the way, business leaders in every industry have been scrambling to develop their generative AI strategies, address potential risks, and figure out the best next action while trying to stay one step ahead of the competition. Where will the biggest transformation occur first? First, it is clear that generative AI will transform business.

Insurance 60

Insurance Experimentation Finance Data Governance 60

CIO Business Intelligence

MAY 17, 2023

Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind. It’s helpful, then, to evaluate the data that’s consumed, stored, moved, and manipulated within the organization’s information technology.

Data-driven 85

Data-driven Strategy IT Insurance 85

IBM Big Data Hub

APRIL 24, 2024

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 78

Risk Measurement Data Governance Insurance 78

IBM Big Data Hub

MAY 28, 2024

Data breach victims also frequently face steep regulatory fines or legal penalties. Government regulations, such as the General Data Protection Regulation (GDPR), and industry regulations, such as the Health Insurance Portability and Accounting Act (HIPAA), oblige companies to protect their customers’ personal data.

Strategy 82

Strategy Measurement Risk Cost-Benefit 82

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. One of the more obvious use cases of data’s role in reducing risk is insurance policies. MetLife then reaches out to specific drivers to urge them to take precautions.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

MARCH 25, 2021

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. The post Will Data Privacy drive an Enterprise Data Strategy?

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

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). employees).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

IBM Big Data Hub

OCTOBER 30, 2023

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

Alation

MARCH 31, 2023

Ehtisham Zaidi, Gartner’s VP of data management, and Robert Thanaraj, Gartner’s director of data management, gave an update on the fabric versus mesh debate in light of what they call the “active metadata era” we’re currently in. The foundations of successful data governance The state of data governance was also top of mind.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

JANUARY 19, 2024

On a federal level, the American Data Privacy and Protection Act (ADPPA) is making its way through Congress, gaining wide bipartisan support when it was first introduced in 2022. These regulations serve the dual purpose of protecting individuals’ privacy and security while establishing ethical standards for responsible data handling.

IT 110

IT Insurance Data Governance Measurement 110

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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.

Metadata 122

Metadata IT Data Governance Data Quality 122

Octopai

FEBRUARY 9, 2021

IFRS 17 brings potential for more accurate reporting and valuation of your insurance company’s contracts – both by internal analysts and external investors. But the way to get there can be full of frustrations and overwhelm as you try and whip your data management and reporting systems into shape. All of the above.

Insurance 52

Insurance Reporting Metadata Risk 52

IBM Big Data Hub

OCTOBER 3, 2022

What’s a data fabric and how is it different from a data mesh? . The goal was to predict these risk periods within 30–60 days before hospitalization would be necessary, to give community health advocates time to intervene. In addition, they needed demographic data to ensure appropriate care for the community in need.

Machine Learning 52

Machine Learning Risk Insurance Cost-Benefit 52

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). What Is HIPAA Compliance?

Insurance 52

Insurance Metadata Statistics Reporting 52

IBM Big Data Hub

JULY 7, 2023

Such mobile devices increase risk because they are authenticated and authorized in different ways and introduce new endpoints that need protection from cyber threats. Use dedicated data security software. Ensuring that permissions are removed when no longer needed lessens the security risk. Manage third-party-related risks.

Risk 40

Risk Data Governance Data Lake Data-driven 40

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

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. This data is also a lucrative target for cyber criminals. Data governance in healthcare has emerged as a solution to these challenges.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

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

IBM Big Data Hub

AUGUST 7, 2023

Ensuring the authenticity of data is crucial in preventing potential disputes over authorship in multi-party interactions. Furthermore, even trusted parties often seek to restrict the power of their privileged users to mitigate the risks associated with mistakes and fraud.

Data Governance 63

Data Governance Manufacturing Interactive IoT 63

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

SEPTEMBER 20, 2023

With 90 years of history, Mapfre is one of the giants of the Spanish insurance sector. The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. “The Here, she speaks with Esther Macías on how it’ll all work.

Modeling 89

Modeling Insurance IT Cost-Benefit 89

CIO Business Intelligence

JANUARY 8, 2024

“As we head into the new year, CIOs and other IT leaders will need to understand how innovation can disrupt the business from both an internal and external perspective and make decisions with measured risk taking and a strong focus on priority outcomes.”

Cost-Benefit 138

Cost-Benefit Digital Transformation Optimization Measurement 138

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Organizations are trying to balance dual objectives of risk mitigation and rapid growth.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

erwin

FEBRUARY 19, 2021

Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Identify and interrogate metadata from various data management silos. Harvest data. Automate the collection of metadata from various data management silos and consolidate it into a single source.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

FEBRUARY 27, 2023

Italian insurer Reale Group found itself with four cloud providers running around 15% of its workloads, and no clear strategy to manage them. “It The two most frequently cited motivations for using multiple cloud providers were data sovereignty or locality (cited by 41% of respondents) and cost optimization (40%).

Cost-Benefit 143

Cost-Benefit Insurance Enterprise Optimization 143

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. When having to manage corporate risk, simplicity is key.

Finance 76

Finance KPI Risk IoT 76

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 90

Data Analytics Analytics Data Warehouse Data Lake 90

Alation

DECEMBER 13, 2022

Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ). Yet lately, a few analysts have started publishing evaluations of data catalogs for specific use cases.

Metadata 52

Metadata Data Governance Enterprise Insurance 52

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. These differentiate a dependable provider from the others. Migration Support, Vendor Lock in & Exit Planning.

Marketing 56

Marketing Data Processing Modeling Data Governance 56