Octopai

MARCH 23, 2022

But data powers decisions, applications, and actions across industrial and national lines. Data lineage tools give you exactly that kind of transparent, x-ray vision into your data quality. Data Supervision. Having the right data intelligence tools can be a make-or-break for data responsibility success.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

Octopai

AUGUST 8, 2023

This collaboration aims to revolutionize the digital transformation journey for organizations by enhancing data understanding, streamlining supply chain processes, and offering superior data-driven insights. The Octopai solution delivers tremendous value very quickly by enabling improved data quality and data transparency.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

CIO Business Intelligence

MAY 24, 2022

These specific connectivity integrations are meant to allow healthcare providers to have a 360-degree view of all their important data and run analytics on them to take faster decisions and reduce time to market, Informatica said.

Finance 140

Finance Management Metadata Data Quality 140

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Alation

DECEMBER 15, 2022

Like sports, vendors enjoy healthy competition and often find themselves in highly contested markets with several viable opponents, both big and small. These select athletes are determined by what the “market” is saying – this includes fans, analysts, and the press. How Do You Determine the GOAT for a Software Category?

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Smart Data Collective

JULY 15, 2021

A data catalog serves the same purpose. By using metadata (or short descriptions), data catalogs help companies gather, organize, retrieve, and manage information. You can think of a data catalog as an enhanced Access database or library card catalog system. What Does a Data Catalog Do?

Metadata 127

Metadata IT Data-driven Data Quality 127

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

erwin

APRIL 29, 2020

Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. Who are the data owners? Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. Market expansion. One Customer’s Journey to Controlling Data Chaos. Expanded AI capabilities to enrich metadata scanning and speed the handling of sensitive data for automated GDPR and CCPA compliance programs.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

BI-Survey

JUNE 30, 2023

Expansion into the US market and Asia-Pacific (APAC) is already underway. The team is following the current market trend of relying solely on the cloud, which enables rapid deployment of the software. The connectors to SAP metadata are particularly important for the German-speaking market.

Key Performance Indicator 52

Key Performance Indicator Metadata Marketing Data Quality 52

Alation

DECEMBER 6, 2022

Diby Malakar joins as our new Vice President of Product Management, Cloud & Technical Metadata Platform and Jonathan Bruce is our new Vice President of Product Management, Catalog, Governance & Data Exploration Apps & Logical Metadata Platform. Oversee the connectors and lineage product areas.

Metadata 52

Metadata Enterprise Data Integration Data Quality 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). Conduct market research. Choose the right development partner.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Ontotext

MAY 2, 2024

These models are as important to companies as their frontline products and determine how data is managed, consumed, combined, joined, and analyzed. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

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 Consulting Enterprise 78

erwin

MAY 18, 2022

First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Customers then use the erwin Data Quality platform to automate the data discovery, profiling and quality assessment of their data sources. Figure 1: erwin Data Intelligence 12.0

Data Quality 52

Data Quality Metadata Data Governance Software 52

Ontotext

FEBRUARY 12, 2024

Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

IBM Big Data Hub

JULY 13, 2022

Data provenance is a complexity facing many clients engaged in data governance-related use cases. To help our clients overcome these challenges, we are pleased to announce our partnership with MANTA to bring MANTA Automated Data Lineage for IBM Cloud Pak for Data to market in our June Cloud Pak for Data v4.5

Metadata 67

Metadata Data Governance Data Quality Data Integration 67

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. Curate Data must be packaged in a way users can access and understand.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. Automating data capture frees up resources to focus on more strategic and useful tasks.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Octopai

JANUARY 19, 2020

The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks. BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 96

Strategy Data Architecture Cost-Benefit Reporting 96

erwin

APRIL 16, 2021

This model has been dubbed the Medici maturity model – named after Romina Medici , head of data management and governance for global energy provider E.ON. Medici found that the approaches on the market did not cover transformation challenges, and only a few addressed the operational data management disciplines.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Timo Elliott

DECEMBER 14, 2022

You lose the roots: the metadata, the hierarchies, the security, the business context of the data. It’s possible, but you have to recreate all that from scratch in the new environment, and that takes time and effort, and hugely increases the possibility of data quality and other governance problems.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

Ontotext

JANUARY 26, 2023

Motivating the use of knowledge graph technology for environmental data, the authors explain why spatial data requires special treatment. They suggest application areas for the graph in disaster mitigation, (food) supply chain management and the broader Environmental, Social, and corporate Governance (ESG) market.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 70

Data Quality Data Integration Metadata Cost-Benefit 70

Ontotext

APRIL 21, 2021

That lack of dexterity in the competitive market of finance will hamper the company for years after the lawsuits are over. Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. The lost cash and fines were only part of the problem. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

Alation

NOVEMBER 28, 2022

introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. Talo Thomson, head of content marketing, Alation: Krishna, Sathish: Thanks for agreeing to speak with me today. If unaddressed, this chaos can lead to data quality, compliance, and security issues.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Alation

FEBRUARY 13, 2020

To draw up the ShortList, Constellation Research’s Vice President and Principal Analyst Doug Henschen evaluated more than a dozen of the industry’s best data cataloging solutions, judging companies based on a combination of client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

Alation

MARCH 11, 2022

A data catalog with a Behavioral Analysis Engine will measure human behavior around data to locate your most valuable and actionable data. This data about data, AKA metadata , is an essential layer of your new meshy fabric. Again, a data catalog can automate the tedium of compliance at scale.

Metadata 52

Metadata Data Governance ROI Data Quality 52

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

JUNE 30, 2021

The inaugural research report marks a growing recognition of the importance of the data catalog in an enterprise’s data ecosystem. Alation pioneered the data catalog market and is a leader in this radar report because of its continued innovation,” said Andrew Brust, Analyst at GigaOm. The Data Catalog Solution.

Reporting 52

Reporting Metadata Data-driven Marketing 52

Andrew White

JULY 5, 2023

This may include a search for data sets and even previous analytics models that might be leveraged. These catalogs could be called data catalogs (for data or data sets), or metrics stores (for models and metrics). Those are the things business business folks would care about, since they use that data every day.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52