erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

FEBRUARY 7, 2023

At the time, I was at a technology conference. The product collected an impressive amount of metadata, from the user interface to the database structure. It then translated all that metadata into an image resembling a spider’s web. That was my earliest taste of data lineage. We finally had a useful tool.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

O'Reilly on Data

JULY 28, 2020

The Ethical OS also provides excellent tools for thinking through the impact of technologies. Years ago a health and fitness technology company realized that its content moderators, used to manually detect and remediate offensive content on its platform, were experiencing extreme fatigue and very poor mental health outcomes.

Marketing 363

Marketing Experimentation Metrics Testing 363

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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

Ontotext

JUNE 22, 2023

What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust.

Metrics 52

Metrics Statistics Visualization Metadata 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift data sharing policies are established in Lake Formation and will be honored by all of your Redshift warehouses. Performance It is not uncommon for sub-second SLAs to be associated with data vault queries, particularly when interacting with the business vault and the data marts sitting atop the business vault.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

Ontotext

JANUARY 10, 2024

The larger an organisation, the more complex it will naturally be, needing more people and technologies to serve a growing customer base – PwC, Is your organisation too complex to secure? Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

FEBRUARY 12, 2024

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Examples include a marketing domain, sales domain, customer domain, etc.

IT 64

IT Metadata Data Quality Data Lake 64

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Ontotext

MAY 16, 2024

Industry analyst reports place contextualized information and graph technologies at the center of their impact radar for emerging technologies. Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Ontotext

MAY 22, 2023

This allows the knowledge graph to represent data in a way that captures the meaning and relationships between different entities, which among many things, allows for advanced reasoning and analytics. Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. It’s about being able to find relevant data and connect it through a knowledge graph.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Research and select the right tools for your organization.

Visualization 40

Visualization Metadata Data Governance KPI 40

erwin

MARCH 21, 2019

Data governance also relies on business process modeling and analysis to drive improvement , including identifying business practices susceptible to security, compliance or other risks and adding controls to mitigate exposures. The lack of a central metadata repository is a far too common thorn in an organization’s side.

Modeling 75

Modeling Metadata IT Data Governance 75

Alation

AUGUST 20, 2021

Tracking data as it moves through your organization informs IT of applications, gaps, and usage patterns so they can be more responsive to business needs. This interactive data lineage also helps IT understand the scope of data assets so they can optimize their own efforts and better prepare for future requirements.

Metadata 52

Metadata Data Quality Data Governance Data-driven 52

Alation

AUGUST 11, 2021

Across all these strategies, the keys to success are consistent; up-front planning and managing pipelines, alongside attention to governance and metadata are essential. This makes sense: knowing your data and who can access it is a critical first step before any move. Data Governance Supports Smart Cloud Migration.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Automated Data Lineage Helps BI & Analytics Understand Their Data.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

erwin

AUGUST 31, 2023

In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The Structured Query Language (SQL) becomes the standardized language for interacting with relational databases.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

AUGUST 14, 2023

In a similar vein, Bonsai artists must balance their vision for the shape of the tree with a respect for the natural characteristics and innate structure of the species they have chosen to work with—to ignore the biology of the tree would be disastrous to the longevity of the tree, as well as to the quality of the art itself.

Management 79

Management Risk Measurement Optimization 79

BI-Survey

FEBRUARY 6, 2020

Today’s data-literate users want governed and scalable self-service BI functions to answer critical business questions and to get the most out of their data assets. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Alation

FEBRUARY 13, 2020

As well as innovation in the core product: new technology, a great design, and features that are really going to change the organizations accessing data to make better decisions. Even though we had the technology, we said, “Hey, we’ve got this thing and we know it’s useful. This is certified data.

ROI 52

ROI Data-driven Finance Data Quality 52

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52