Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

JUNE 14, 2023

The AWS Professional Services (ProServe) Insights team builds global operational data products that serve over 8,000 users within Amazon. Our team was formed in 2019 as an informal group of four analysts who supported ad hoc analysis for a division of ProServe consultants.

Dashboards 86

Dashboards KPI Scorecard Metadata 86

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Currently, he is in charge of the Technical Operations team at MIT Open Learning.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

CIO Business Intelligence

AUGUST 11, 2023

Establish and support a data-driven culture. As legendary management consultant Peter Drucker said: “Culture eats strategy for breakfast.” The IDH will be a game-changing platform that allows us to make data available to data scientists and data analysts across the company. This theme is the most critical.

Data Analytics 98

Data Analytics Analytics Data-driven Business Driver 98

Alation

OCTOBER 5, 2021

It’s on Data Governance Leaders to identify the issues with the business process that causes users to act in these ways. Inconsistencies in expectations can create enormous negative issues regarding data quality and governance. Data governance and AI. Picking the Right Data Governance Tools.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

CIO Business Intelligence

JUNE 12, 2024

“Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Alation

AUGUST 11, 2022

I pondered whether these megatrends — with their data meshes, data fabrics , and modern data stacks — were really brand new, or whether history may be repeating itself, albeit with new terminology. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

FEBRUARY 17, 2023

Some data seems more analytical, while other is operational (external facing). We recommend identifying the data sources and tables that need to be considered to be governed, establishing the governance owner & data quality details, and saving those details in the catalog. Here’s an example.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

MAY 31, 2023

American Family Insurance: Governance by Design – Not as an Afterthought Who: Anil Kumar Kunden , Information Standards, Governance and Quality Specialist at AmFam Group When: Wednesday, June 7, at 2:45 PM Why attend: Learn how to automate and accelerate data pipeline creation and maintenance with data governance, AKA metadata normalization.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

AWS Big Data

AUGUST 14, 2023

Legal & Compliance C Legal & Compliance Officer Consults on permissibility of data products with reference to local regulation. Consults on permissibility of data sharing with reference to local regulation or commercial agreements. Approves changes to data product technology architecture.

Management 86

Management Risk Measurement Optimization 86

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. I worked with financial analysts, data analysts, and business users.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ontotext

MARCH 8, 2023

Solution Outcomes: A semantic recommendation service that is beating accuracy benchmarks and replacing manual processes aggregating content – that is supporting higher-quality, more advanced, and targeted recommendations with clear reasons. million users. What shipping route is the most fuel efficient?

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

AWS Big Data

FEBRUARY 13, 2023

To assess the nodes and find an optimal RA3 cluster configuration, we collaborated with AllCloud , the AWS premier consulting partner. A set of queries from the production cluster – This set can be reconstructed from the Amazon Redshift logs ( STL_QUERYTEXT ) and enriched by metadata ( STL_QUERY ).

Snapshot 73

Snapshot Data Warehouse Analytics Testing 73

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

TDAN

JUNE 4, 2019

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com). The framework was developed and is implemented by Robert S.

Data Governance 40

Data Governance Consulting Data Quality Metadata 40

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? where performance and data quality is imperative? We cannot of course forget metadata management tools, of which there are many different. ex : we help you to improve your performances !

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. Another one is that, to Nick’s point, in his keynote yesterday, was excellent about using experts, internal data science teams. The ones that don’t fare well tend to rely on external consultants. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 104

Digital Transformation Metadata Data Quality Manufacturing 104

Wayne Yaddow

MARCH 28, 2025

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. First: It is critical to set up a thorough data inventory and assessment procedure.

Data Quality 52

Data Quality Data Integration Data Governance Metadata 52

AWS Big Data

NOVEMBER 13, 2024

Onboard key data products – The team identified the key data products that enabled these two use cases and aligned to onboard them into the data solution. These data products belonged to data domains such as production, finance, and logistics. It highlights the guardrails that enable ease of access to quality data.

Metadata 94

Metadata Data Quality Digital Transformation Data-driven 94

BI-Survey

FEBRUARY 27, 2025

However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. However, lineage information and comprehensive metadata are also crucial to document and assess AI models holistically in the domain of AI governance.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

BI-Survey

MARCH 6, 2025

For data management teams, achieving more with fewer resources has become a familiar challenge. While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation.

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52

BI-Survey

FEBRUARY 6, 2020

Data management has always been a challenge for companies. Data quality is seldomly handled in source systems in a way that meets the needs of decision support. As the number of sources, volume and variety of data increase, data-related issues are felt more strongly.

Reporting 59

Reporting Optimization Enterprise Data Quality 59