erwin

JANUARY 23, 2025

IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to data governance, data quality, metadata management and more.

Metadata 52

Metadata Data Quality Data Governance Software 52

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

As I recently noted , the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

Smart Data Collective

AUGUST 14, 2022

In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. When the people responsible for managing data transit know its course and actions, it’s easier to protect PII and IP.

Risk 139

Risk Cost-Benefit Software Reporting 139

CIO Business Intelligence

APRIL 30, 2024

It could tell the user whether the data is trending in a positive direction or what’s driving a trend, for instance. This feature enables users to compare progress on a metric with a set benchmark or goal, allowing a sales manager to track their pipeline versus targets, for example. Metric Goals.

Analytics 96

Analytics Metrics Visualization Dashboards 96

erwin

APRIL 18, 2019

An effective data governance initiative should enable just that, by giving an organization the tools to: Discover data: Identify and interrogate metadata from various data management silos. Structure data: Connect physical metadata to specific business terms and definitions and reusable design standards.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 113

Data Warehouse Analytics Data Lake Machine Learning 113

Alation

JULY 26, 2021

So you can probably imagine: The company manages a lot of data. We sought a partner to support our digital transformation and help us leverage data as a competitive asset. One of the first steps in any digital transformation journey is to understand what data assets exist in the organization.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

CIO Business Intelligence

JUNE 23, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. If large and valuable data for the enterprise is managed, then there has to be openness for the business to choose different analytic engines, or even vendors.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

FEBRUARY 13, 2020

The inspiration came from Gartner and Forrester’s ground-breaking research on the emergence of data catalogs. 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.”.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

JUNE 1, 2023

Join this session to learn how DIRECTV partnered with Alation to map their new dataverse, which includes Snowflake data sources (hubs), glossaries, enhanced metadata for metadata objects, lineage, and quality. They also recognized that to become 100% data- driven, first they had to become 100% metadata- driven.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. If large and valuable data for the enterprise is managed, then there has to be openness for the business to choose different analytic engines, or even vendors.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

CIO Business Intelligence

JANUARY 30, 2024

“CIOs are in a unique position to drive data availability at scale for ESG reporting as they understand what is needed and why, and how it can be done.” “The As regulation emerges, the needs for auditable, data-backed reporting is raising the stakes and elevating the role of data in ESG — and hence the [role of the] CIO.”

Reporting 115

Reporting Data Quality Strategy Data-driven 115

AWS Big Data

SEPTEMBER 29, 2023

This approach provides a user-friendly interface and is particularly suitable for individuals who prefer a graphical approach to managing their data. With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. xml and technique2.xml.

Metadata 72

Metadata Visualization Data-driven Optimization 72

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

erwin

MAY 18, 2022

Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment. And, this is why.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Alation

FEBRUARY 20, 2020

After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London. Data Catalogs Are the New Black. Gartner’s report, Data Catalogs Are the New Black in Data Management and Analytics , inspired our new penchant for the color black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Alation

DECEMBER 8, 2022

At the risk of introducing yet another data governance definition, here’s how Forrester defines the term: A suite of software and services that help you create, manage, and assess the corporate policies, protocols, and measurements for data acquisition, access, and leverage. Policy management. Stewardship management.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

AWS Big Data

JUNE 19, 2023

When it comes to near-real-time analysis of data as it arrives in Security Lake and responding to security events your company cares about, Amazon OpenSearch Service provides the necessary tooling to help you make sense of the data found in Security Lake. Steps 1–2 are managed by Security Lake; steps 3–5 are managed by the customer.

Publishing 96

Publishing Dashboards Visualization Management 96

AWS Big Data

FEBRUARY 22, 2023

AWS DMS is a database migration tool that supports many relational database management services, and also supports Amazon S3. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 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

Ontotext

MAY 5, 2023

An IT manager might be dealing with software, hardware and data, while an expert might make further distinctions in each category (for example between laptops, servers, mobile devices, etc.). These abstractions will serve both the IT manager and the expert and here the shared ontological model can align these two points of view.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Alation

FEBRUARY 20, 2020

After investing in self-service analytic tooling, organizations are now turning their attention to linking infrastructure and tooling to data-driven decisions. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. The growth of data is outpacing organization’s ability to get value from it.”[3]

Machine Learning 52

Machine Learning Marketing Reporting Metadata 52

Alation

JANUARY 26, 2023

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. This has spawned new legislation controlling how data can be collected, stored, and utilized, such as the GDPR or CCPA.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

TDAN

AUGUST 15, 2023

I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance. Calling it data enablement, data trust, data utilization, and many other names to try and avoid the […]

Data Governance 52

Data Governance Data Enablement Data Quality IT 52

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Product Management. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

JANUARY 29, 2025

Businesses require powerful and flexible tools to manage and analyze vast amounts of information. Amazon EMR has long been the leading solution for processing big data in the cloud. Additionally, Oktank must comply with data residency requirements, making sure that confidential data is stored and processed strictly on premises.

Big Data 69

Big Data Data Analytics Analytics Interactive 69