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

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).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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

CIO Business Intelligence

MARCH 31, 2022

To date, many of those appointments have been concentrated in the insurance, banking, media and entertainment, retail, and IT/technology verticals. Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy.

Consulting 134

Consulting Data Strategy Data Governance Strategy 134

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 73

Metadata Data Governance Management Finance 73

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. 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).

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

CIO Business Intelligence

SEPTEMBER 30, 2024

Like others, Bell’s data scientists face challenges such as data cleanliness and interoperability, and Mathematica will at times partner with other organizations to overcome those challenges.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

erwin

DECEMBER 9, 2024

A data catalog providing automated data profiling does just this and, when tied in with data lineage, your organization can easily see metadatas pathway back to all sources feeding your AI model. Within the catalog one can visualize this lineage for data quality results and sensitive data inputs.

Metadata 52

Metadata Data Quality Sales Modeling 52

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Management Finance 52

AWS Big Data

JANUARY 30, 2023

We examine a hypothetical insurance organization that issues commercial policies to small- and medium-scale businesses. The insurance prices vary based on several criteria, such as where the business is located, business type, earthquake or flood coverage, and so on. getOrCreate() #Define the table schema schema = StructType().add("policy_id",IntegerType(),True).add("expiry_date",DateType(),True).add("location_name",StringType(),True).add("state_code",StringType(),True).add("region

Insurance 86

Insurance Data Lake Data-driven Management 86

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. Learn more about erwin’s automation framework for data governance here.

Metadata 81

Metadata Data Governance Data-driven Digital Transformation 81

Alation

AUGUST 11, 2021

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 cloud architecture offers advantages like: Breaking down silos, Enabling better access, and.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

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

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

FEBRUARY 28, 2024

So by using the company’s data, a general-purpose language model becomes a useful business tool. I’m seeing it across all industries,” says Khan, “from high tech and banking all the way to agriculture and insurance.” Then there’s the hard work of collecting and prepping data. Watching this emerge will be very cool,” he says.

IT 131

IT Consulting Modeling Enterprise 131

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 93

Technology Data-driven Machine Learning Sales 93

Octopai

AUGUST 11, 2024

Just as a navigation app provides a detailed map of roads, guiding you from your starting point to your destination while highlighting every turn and intersection, data flow lineage offers a comprehensive view of data movement and transformations throughout its lifecycle. Its AI-driven features add an extra layer of efficiency.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

Peter James Thomas

JUNE 3, 2019

Data Architect – Probably wholly centralised, but some “spoke” staff may have an architecture string to their bow, which would of course be helpful. Indeed, you could almost see the spokes beginning to merge together somewhat to form a continuum around the Data Team. Oxbow Partners and peterjamesthomas.com Ltd.

Data Governance 45

Data Governance Cost-Benefit Insurance Data Quality 45

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 86

Management Risk Measurement Optimization 86

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. Aaron : Absolutely. You hit on two key themes for us.

ROI 52

ROI Data-driven Data Quality Finance 52

Andrew White

JANUARY 11, 2021

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. 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?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

Jet Global

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality Reporting Recreation/Entertainment Finance 98

TDAN

NOVEMBER 20, 2024

Mastering data governance has become a critical challenge for insurers in today’s rapidly evolving insurance landscape. This blog post will explore the complexities of insurance data governance, highlighting the pitfalls and best practices.

Insurance 52

Insurance Data Governance Data Quality Management 52

AWS Big Data

OCTOBER 24, 2024

Maintaining regulatory compliance HCLS organizations are subject to a range of industry-specific regulations and standards, such as Good Practices (GxP) and HIPAA, that ensure data quality, security, and privacy. His expertise spans across data analytics, data governance, AI, ML, big data, and healthcare-related technologies.

Data Warehouse 98

Data Warehouse Business Objectives Data-driven Management 98