CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. They must be accompanied by documentation to support compliance-based and operational auditing requirements.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Challenges around managing risk. It is an imperative.

Metadata 100

Metadata Risk Risk Management Experimentation 100

erwin

OCTOBER 8, 2020

And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. Request an erwin Cloud Catalyst assessment.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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

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

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

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. The risks of ignoring end-to-end data lineage are just too great.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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

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

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. The main challenges were risk mitigation and agility in analytics.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

MAY 10, 2023

As companies open this “pandora’s box” of new capabilities, they must be prepared to manage data inputs and outputs in secure ways or risk allowing their private data to be consumed in public AI models. The first step in this process is to ensure the right technical and business metadata is in place.

Metadata 98

Metadata Data Governance Modeling Technology 98

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 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

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 126

Metadata IT Data-driven Data Quality 126

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

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized. Organizations that run afoul of such laws risk damaging their reputation. In Summary.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. Data lineage and financial risk data compliance. All these models need to be informed by data, with operational risk assessment mandating loss data that goes back 10 years. .

Insurance 52

Insurance Risk Metadata Reporting 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

APRIL 15, 2020

If we reflect on the coronavirus example, we can ask: How do individual countries report their data? Are asymptomatic infections reported? This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Do individual countries use the same testing protocols?

Data Governance 134

Data Governance Metadata Testing Reporting 134

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. See also: Forrester’s Enterprise Architecture Management Suite Report. For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. Digital Transformation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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. As such, when it starts generating piles of technical debt, customers are at risk of system failure. Reports and dashboards can also go stale.

Big Data 131

Big Data Snapshot IT Dashboards 131

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

CIO Business Intelligence

DECEMBER 4, 2023

Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact. With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing. Iron Mountain Capture/Enrich. Structure/Operationalize.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Octopai

DECEMBER 10, 2019

Let’s look at why: Companies need to utilize shared data to make informed decisions, but when data is sent from one department to another there is always the risk of miscommunication. This is a company-wide document that defines all important terms used internally, with customers and with vendors.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Extensive automation and collaboration functionality speed development cycles and minimize the risks of bugs and performance issues. Read more about SharePlex® by Quest®.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. In our recent State of Data Culture Report , Alation found that nearly every organization (86%) with a top-tier data culture met or exceeded its revenue targets. A Strong Data Culture Supports Strategic Decision Making.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Octopai

JUNE 24, 2019

Effective data governance minimizes risk, reduces costs, implements compliance requirements, and above all, generates value for your business. Document classification and lifecycle management will help you deal with oversight of unstructured data. This policy includes specialists, processes, and technology used to manage data.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

Octopai

JUNE 1, 2020

BCBS 239 compliance depends on the ability of organizations involved in global banking practices to identify, manage, and report risks regarding their credit and liquidity in line with AIRB regulation. Manual Metadata Management Hinders Compliance. Octopai’s automated BI intelligence platform makes this process easy!

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

erwin

MAY 2, 2022

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. I’m not proposing that business logic be held in the database, but it needs to be documented in the data model even if it will be implemented in application code. You can decide later how you’re actually going to do it.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

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

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

OCTOBER 5, 2021

According to the Gartner report, The State of Data and Analytics Governance Is Worse Than You Think , approximately 80% of businesses readily acknowledge that high-quality data governance is essential to achieving long-term business goals, objectives, and outcomes. Why is your data governance strategy failing? Data governance and AI.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). AI product managers need to understand how sensitive their project is to error.

Marketing 361

Marketing Experimentation Metrics Testing 361

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104