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

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Early on, analysts used data catalogs to find and understand data more quickly. The MDM tool should help with this.

Management 52

Management Data Quality Metadata Testing 52

Alation

SEPTEMBER 21, 2021

It is people, process, technology, and data — more importantly, metadata. Metadata provides technical and behavioral intelligence about data that can be used to decide where to start and how to plot a course to the destination, including who needs to be involved and who can offer assistance if roadblocks are encountered.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

Alation

JUNE 22, 2021

The second and fourth posts take a deeper look at data search & discovery and data governance, respectively. What is Data Literacy? Per a recent article on Dataversity , “data literacy is the ability to read, work with, analyze, and argue with data.” How to Build Data Literacy.

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

Alation

FEBRUARY 20, 2020

Is this calculation of revenue an accurate definition for our new decision? Why does this report use a non-standard definition of region? In organizations where more and more people are using data, the nuances of business semantics must become more widely distributed knowledge. The challenge is one of transparency.

Metadata 52

Metadata Analytics Dashboards Sales 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. In terms of data lineage, they offer an excellent definition here. .

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. What are data visualization tools?

Visualization 52

Visualization Metadata Data Governance KPI 52

Octopai

FEBRUARY 9, 2023

Trying to manage data governance without a comprehensive data lineage solution can leave you feeling like your data keeps running away. It’s not easy to keep up with data and metadata on the move. A comprehensive data lineage tool is the secret weapon of successful data governance managers and data stewards.

Data Governance 52

Data Governance Metadata Data Quality Management 52

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. What are data visualization tools?

Visualization 40

Visualization Metadata Data Governance KPI 40

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

erwin

MAY 27, 2020

And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. And the tools for acting on data are consolidating: Tableau does data prep, Altreyx does data science, Qlik joined with Talend, etc. Can that be done with minimal vendor tools?

Metadata 130

Metadata Testing Risk Data Science 130

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important? What Is a Data Model?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

Octopai

OCTOBER 6, 2019

Especially for large organizations with complex data environments, that’s what it can be like on your journey of data discovery. Data Discovery, Defined. Let’s face it: If your organization is like many enterprises these days, you’re drowning in data. That’s the problem that data discovery can solve.

Slice and Dice 57

Slice and Dice Metadata Visualization Data Governance 57

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

NOVEMBER 8, 2021

Challenge #2: Ability to Meet Governance Requirements at Scale. Traditionally, self-service reporting analytics and data governance have been opposed. The goal of enabling more people to visualize and analyze data has interfered with the need to govern data (and prevent it from falling into the wrong hands).

Dashboards 52

Dashboards Recreation/Entertainment Metadata Data Governance 52

Jen Stirrup

MARCH 29, 2023

By providing a unified view of the data, the semantic layer helps ensure that different users and reports use consistent definitions and calculations, thereby helping to provide a single view of the customer. It provides a user-friendly and easily understandable representation of the underlying data.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Alation

JANUARY 17, 2023

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

erwin

JUNE 27, 2019

Empower employees with self-service access for enterprise data capability, fluency and accountability. Evaluating a Data Modeling Tool – Key Features. Organizations seeking to invest in a new data modeling tool should consider these four key features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Laminar Security

AUGUST 23, 2023

Monitoring and limiting access Organizations should consider using a technology like data access governance (DAG) to control user, machine or application access to sensitive data and enforce least privilege access for their most valuable or risky identities. We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

BI-Survey

MARCH 4, 2022

Organizations that are still early in the process of shaping their data culture seem to fare better when focusing their strategy on establishing a data democracy. More than a third of them have planned specific initiatives for data governance and data access. DATA LEADERSHIP. DATA GOVERNANCE.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

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. But as the category gains greater recognition, more companies are building data catalog solutions.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

BI-Survey

FEBRUARY 6, 2020

ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards. Fact-Based Decision-Making Requires Trusted And Managed Data. Data management has always been a challenge for companies. Management must promote data-driven decisions.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

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