Alation

FEBRUARY 20, 2020

But, enterprises have still failed to realize the ROI. One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help.

Data Governance 52

Data Governance Dashboards Data Lake Big Data 52

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data.

Metadata 130

Metadata Testing Data Science Risk 130

Alation

JANUARY 26, 2023

However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. What’s worse, just 3% of the data in a business enterprise meets quality standards. There’s also no denying that data management is becoming more important, especially to the public.

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Strategy Strategy Unstructured Data 52

erwin

JANUARY 23, 2025

Whether its delivering a self-service data marketplace to make it easier to find and access trusted data across your business or increasing data quality visibility to better assess data fitness and ensure reliability of critical data sources, data intelligence software has a role to play.

Metadata 52

Metadata Data Quality Data Governance Software 52

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. Data Governance for Regulatory Compliance. Regulatory compliance remains a key driver for data governance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Advanced analytics empower risk reduction .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Alation

JULY 26, 2021

One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. Learn how AmFam balances data governance with self-service analytics.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

Cloudera

AUGUST 12, 2021

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility. Risk Management.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Octopai

JUNE 19, 2023

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

Metadata 98

Metadata Data Governance Measurement Risk Management 98

Smart Data Collective

OCTOBER 17, 2022

zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. Data pipeline maintenance.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. The CIOs who plan for this future now will be the ones poised to reap greater returns on their current investments.”.

Data Lake 105

Data Lake Risk Marketing Data Warehouse 105

CIO Business Intelligence

DECEMBER 10, 2024

In addition, they can actively detect and safeguard the data, enabling rapid recovery in the event of an attack. To have GenAI RAG-based applications that can provide the most relevant results, companies need the ability to seamlessly connect custom models from any cloud partner to their business data.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

Alation

FEBRUARY 13, 2020

Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. 451 Research: From out of nowhere: the unstoppable rise of the data catalog.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

CIO Business Intelligence

FEBRUARY 19, 2025

The use of synthetic data to train AI models is about to skyrocket, as organizations look to fill in gaps in their internal data, build specialized capabilities, and protect customer privacy, experts predict. Gartner, for example, projects that by 2028, 80% of data used by AIs will be synthetic, up from 20% in 2024.

Cost-Benefit 101

Cost-Benefit Modeling Software Machine Learning 101

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

erwin

MAY 18, 2022

It’s a lighter implementation that when used in conjunction with erwin Data Intelligence will help the business understand where the most reliable data exists, where to focus on improvement, and when to take notice of changes in stability using a data volatility drift indicator score and auto-alerting capabilities.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Jet Global

OCTOBER 9, 2024

” The article goes on to state that “by 2020, predictive and prescriptive analytics will attract 40% of enterprises’ net new investment in business intelligence and analytics.” This immediate access to data enables quick, data-driven adjustments that keep operations running smoothly.

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. For example, in the U.S., We covered this a bit when the Virginia law was first approved.

Insurance 85

Insurance IoT Risk Data Processing 85

Alation

FEBRUARY 20, 2020

The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs. Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting Metadata 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

AWS Big Data

MARCH 27, 2024

The solution uses AWS services such as AWS HealthLake , Amazon Redshift , Amazon Kinesis Data Streams , and AWS Lake Formation to build a 360 view of patients. Analytics Specialist Solutions Architect specializing in architecting enterprise data platforms. About the Authors Saeed Barghi is a Sr. Satesh Sonti is a Sr.

Data Analytics 106

Data Analytics Analytics Data Warehouse Data Lake 106

Alation

FEBRUARY 20, 2020

Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making. Master data management. Data governance. Structured, semi-structured, and unstructured data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54