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

erwin

OCTOBER 18, 2019

erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. GET THE REPORT NOW. This graphic was published by Gartner, Inc.

Metadata 63

Metadata Management Reporting Marketing 63

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Smart content includes labeled (tagged, annotated) metadata (TAM).

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Octopai

DECEMBER 16, 2020

Data is processing, information is moving through various systems, and reports are generating valuable insights for the decision-makers down the line. Then a BI reporting nightmare crops up – a significant mistake has been discovered in a data field. Further, 50% reported that manual error detection could take months.

Reporting 85

Reporting Metadata Uncertainty Business Intelligence 85

Octopai

MAY 13, 2019

These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. Metadata Management Automation.

Metadata 40

Metadata Management Reporting Dashboards 40

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. Critical Application for Information Governance ” -Information Scientist, Healthcare Industry.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

JANUARY 8, 2024

The judiciary, like the legal system in general, is considered one of the largest “text processing industries” Language, documents, and texts are the raw material of legal and judicial work. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

Management 90

Management IT Digital Transformation Metadata 90

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data. Benjamin Franklin said, “Lost time is never found again.”

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

O'Reilly on Data

DECEMBER 12, 2023

For example, you might want to write a stockholders’ report, or generate text for a product catalog. RAG takes your prompt, loads documents in your company’s archive that are relevant, packages everything together, and sends the prompt to the model. They make it possible to search for relevant or similar documents.)

Modeling 253

Modeling Software Sales Statistics 253

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Providing a unified metadata model and a semantic layer is enhanced through discovery, auto-classification, tagging, inferencing, and so on. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Ontotext

DECEMBER 16, 2021

Organizations in this sector often deal with multiple repositories of millions of documents on top of proprietary data from labs and other internal sources. Domain experts can document their knowledge of terms and concepts within the graph and then connect the nodes to data stored in any number of external sources. See figure 1.).

Metadata 98

Metadata Reporting Unstructured Data Risk 98

erwin

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. They have the ability to see particular aspects, such as RPII, and there are some neat reports which show that. For Rick D.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

erwin

MARCH 12, 2020

Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. A change in the source-column header may impact 1,500 design mappings.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It automates capturing model metadata and increases predictive accuracy to identify how AI tools are used and where model training needs to be done again. Increase trust in AI outcomes.

Risk 76

Risk Modeling Management Metadata 76

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Furthermore, faulty decision-making based on inconsistent analytics and inaccurate reporting can cost millions. Metadata management and manual mapping are a challenge to most organizations.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. 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.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Technology 98

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. Having this backup is crucial when addressing stakeholder, customers and concerns from regulators.

Metadata 102

Metadata Risk Risk Management Experimentation 102

CIO Business Intelligence

OCTOBER 13, 2023

They often report to data infrastructure and data science leads. Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Smart Data Collective

JULY 15, 2021

By using metadata (or short descriptions), data catalogs help companies gather, organize, retrieve, and manage information. A data catalog will usually have a search tool, a separate data discovery tool, a glossary, and a metadata registry. Metadata registries organize various data sets according to categories and fields.

Metadata 128

Metadata IT Data-driven Data Quality 128

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 24, 2019

In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping. Governing metadata. The 100-percent metadata-driven approach is critical to creating reliable and consistent CATs.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

JANUARY 14, 2021

I have long stated that data is the lifeblood of digital transformation, and if the pandemic really has accelerated digital transformation, then the trends reported in IDC’s worldwide surveys make sense. Technical metadata is what makes up database schema and table definitions.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Octopai

NOVEMBER 28, 2019

The result was a spider web of connections and relationships that were difficult to manage, characterize, document, and maintain. When designed and implemented properly, a data warehouse standardizes data structures from disparate sources to enable apples-to-apples reporting. Struggling with inaccurate reporting?

Visualization 54

Visualization Metadata Data Warehouse Reporting 54

Alation

APRIL 18, 2023

This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors. Do you need to add metadata to information to put it in a data lake? This may include recurring meetings, email updates, or progress reports.

IT 52

IT Metadata Data Quality Data Governance 52

Octopai

MARCH 24, 2020

Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? Here is an overview of how automated metadata management makes your business intelligence smarter. BI, obviously.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Octopai

AUGUST 30, 2020

We’re talking end-to-end results in one screen starting from the very first source system all the way through to the different reports. Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We call this feature: Expand.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Octopai

DECEMBER 10, 2019

This is a company-wide document that defines all important terms used internally, with customers and with vendors. In addition, proper business glossary software provides a pathway to build lineage and for metadata management for analysis of the data contained within it. Automated Business Glossary Tools Streamline Processes.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

AWS Big Data

MARCH 18, 2024

The AWS Glue Data Catalog holds the metadata for Amazon S3 and GCS data. Refer to the respective documentation for details. Refer to the corresponding Synapse documentation for additional details as required. Refer to the corresponding cloud documentation for details. We provide some sample screenshots for reference.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97

Smart Data Collective

JULY 27, 2021

Over the years, Snapshot has grown into the industry’s most comprehensive toolset for org management, relational data migration, documentation, technical debt removal, and more. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer.

Big Data 132

Big Data Snapshot IT Dashboards 132

erwin

APRIL 15, 2020

If we reflect on the coronavirus example, we can ask: How do individual countries report their data? Are asymptomatic infections reported? Do individual countries use the same testing protocols? Are infections universally defined the same way (based on widely administered tests or only hospital admissions)?

Data Governance 134

Data Governance Metadata Testing Reporting 134