erwin

FEBRUARY 28, 2024

One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool.

Metadata 52

Metadata Data Governance Data Quality Technology 52

erwin

DECEMBER 3, 2020

This data explosion has overwhelmed most organizations, making it nearly impossible for them to manage much less put to smart, strategic use. How do you identify the time-sensitive, relevant insights that could mean the difference between the life and death of your business? One Customer’s Journey to Controlling Data Chaos.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Andrew White

JULY 5, 2023

Several 1-1s asked how to get business folks involved and excited to work with a data catalog in support of a governance program. For governance, business is already interested but they would only really care about what should be named a glossary. That is the wrong question. This is the source of confusion.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. This is because accurate data is “table stakes” for finance teams. After all, finance is one of the greatest consumers of data within a business.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. One of the best ways to solve this issue is to create a business glossary. What Goes into Building a Business Glossary?

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., For Matthieu G.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. million to American businesses each year (not counting businesses in every other country of the world).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. Introduction.

Modeling 72

Modeling Finance Technology Insurance 72

Octopai

MAY 5, 2020

Octopai and Dataversity collaborated to conduct The 2020 Business Glossary Automation Survey. They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today.

Metadata 52

Metadata Reporting Data Warehouse Management 52

TDAN

APRIL 2, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance.

Data Governance 45

Data Governance Enterprise Data Quality Metadata 45

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

MAY 19, 2022

A Gartner survey found that 57% of Boards of Directors have increased their risk appetites, and data & analytics are fueling more risky (and potentially rewarding) projects. Leaders agree: Data needs to drive business results. And how do you transform data from a liability into an asset? Establish what data you have.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

Octopai

DECEMBER 22, 2019

What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. The market demands easy and speedy management of data amid an increasingly complex data landscape. . Named by Solutions Review as an Analytics Vendor to Watch, 2020.

Metadata 54

Metadata Management OLAP Data Governance 54

erwin

MAY 18, 2022

All data quality scoring is then visibly shared throughout erwin Data Intelligence alongside data catalog metadata, in data lineage, impact analysis, mind maps and inside asset search results for business users. Figure 1: erwin Data Intelligence 12.0 automates data profiling and quality assessment.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Octopai

APRIL 5, 2020

By and large, business intelligence (BI) teams are not satisfied with their current data lineage capabilities, as evidenced by their routine struggles: a steady backlog of requests for days or even weeks topped by pressure from executive management. This is when automated data lineage saves the day, literally.

Metadata 52

Metadata Data Quality Reporting Management 52

Alation

MAY 23, 2023

For leaders tasked with rolling out a new data governance program, getting started can feel like a daunting task. For one financial services organization, getting started took identifying key capabilities of their future data platform, tying those capabilities to business value, and working closely with the implementation team.

Business Objectives 52

Business Objectives Enterprise Data Governance Sales 52

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

IBM Big Data Hub

DECEMBER 16, 2022

It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives. Weeks pass by until the IT team locates and masks the data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Now, it means an active catalog for business. – Gartner, Inc., Dealing with complexity.

Metadata 52

Metadata Management Data-driven Data Governance 52

Alation

JUNE 20, 2023

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Bringing together companies — and their data Alation: For you guys in data, it sounds like the acquisition was the easy part. Alation: Easier said than done.

Technology 52

Technology Data Governance Data Warehouse Software 52

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

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. Why is a data strategy important? A centralised platform is therefore critical.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Alation

SEPTEMBER 16, 2021

Leveraging human activity alongside machine learning is the key to building out data intelligence solutions. Indeed, this is how we built the market-leading data governance application : by learning from the human signals around the data and automating key processes with AI and machine learning.

Machine Learning 52

Machine Learning Data Governance Software Metadata 52

Alation

JUNE 30, 2021

Data governance is embedded into the tool to guide compliance best practices, as well: “Compose’s TrustCheck feature color-codes tables or columns within queries according to how other users have flagged or rated them in terms of accuracy and trustworthiness.”. The Data Catalog Solution. See the report for full details.

Reporting 52

Reporting Metadata Data-driven Marketing 52

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The Benefits of Structured Data Catalogs.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Jet Global

JULY 2, 2019

From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive. What’s in a Data Lake? Remember that data stream/river analogy earlier? Future-Proofing your Data.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Alation

MARCH 29, 2023

I got to experience the agnostic partner approach where you’re working with folks as an advisor, guiding them to the right decisions based on their history, appetite for risk, business goals, et cetera. I know my customers are looking for the right solution at the right price. Alation moves the governance to the point of consumption.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

AWS Big Data

OCTOBER 4, 2023

With Amazon DataZone, data users like data engineers, data scientists, and data analysts can share and access data across AWS accounts using a unified data portal, allowing them to discover, use, and collaborate on this data across their teams and organizations.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

Peter James Thomas

AUGUST 29, 2018

As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. I’m very glad that he has been able to find time in his busy calendar to speak to us. Helping organisations become “data-centric” is a key part of what you do.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Nine Steps to Data Modeling. Reverse engineer databases into data models.

Modeling 98

Modeling Metadata Data Governance Visualization 98

erwin

DECEMBER 17, 2020

Microsoft has delivered a critical building block for the data-driven enterprise by capturing proven business data constructs and semantic descriptors for data across a wide range of business domains in the CDM and providing the contents in an open-source format for consumption and integration.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110