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

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. This solution is designed to include everything needed to develop a consistent transparent model management process. It is an imperative.

Metadata 77

Metadata Risk Experimentation Dashboards 77

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. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

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

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless. Create cost reports. Choose Create new report.

Data Warehouse 81

Data Warehouse Management Snapshot Data Lake 81

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

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. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. See also: Forrester’s Enterprise Architecture Management Suite Report. It’s also noticeable that enterprise architects who add EA certifications to their resumes report higher earnings. Digital Transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Manage Regulation, Manage Risk. Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

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

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. Intelligent systems powered by machine learning are necessary for overcoming the challenges of data management.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Laminar Security

NOVEMBER 16, 2023

DSPM solutions help organizations achieve data security compliance, reduce data breach risks, lower cloud costs, remediate ROT data, and enable data-driven innovation. DSPM solutions scan and monitor your cloud data and identify any sensitive or regulated data that could be at risk or non-compliant.

Risk 59

Risk Cost-Benefit Dashboards Management 59

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Its value can be hard to demonstrate to those who don’t work directly with data and metadata on a daily basis.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Octopai

FEBRUARY 21, 2022

But since lucky stars are generally frowned upon as a risk management strategy, we highly recommend you plan out your cloud migration process. it’s more of a risk when it comes to a digital or operational move. 4 critical elements to enterprise data migration success. 1) Plan it out. Maybe you should’ve considered Seattle.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

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

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 79

Risk Management Risk Metrics Machine Learning 79

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

AUGUST 14, 2022

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Here, DLP provides detailed reports to fulfill compliance audits. Data Usage Reports. How Does DLP Help Your Business? Personal Information Protection.

Risk 124

Risk Cost-Benefit Software Reporting 124

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI.

Risk Management 52

Risk Management Risk Modeling Metadata 52

Ontotext

MAY 5, 2023

Example: BoE and FCA Reporting In their Transforming Data Collection action plan, The Bank of England and The Financial Conduct Authority rely on ontological modeling and data representation to achieve key objectives: “Defining and adopting common data standards that identify and describe data in a consistent way throughout the financial sector.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. Inaccurate Data Management Leads to Financial Collapse. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage. Managing a remote workforce creates new challenges and risks.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. Managing a remote workforce creates new challenges and risks. Clearly Document Data Policies and Rules. Do employees have remote access to essential systems?

Measurement 96

Measurement Sales Data Governance Metadata 96

Octopai

JULY 12, 2020

In order to fully comprehend the impact of changes on any of the reporting or integrated systems, FCSA had to manually go through database view objects, ETL, table objects, and stored procedures. With Octopai’s suite of metadata management tools in place, the BI team had a central location for data lineage.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Alation

FEBRUARY 8, 2022

“To achieve this,” the report argues, “metadata and data should be well-described so that they can be replicated and/or combined in different settings.” These are valuable systems for enterprise risk management. ” 1. Automation is rapidly making these use-case visions a reality.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 75

Management Risk Measurement Optimization 75

Laminar Security

MAY 3, 2023

According to our recent State of Cloud Data Security Report 2023 , 77% of organizations experienced a cloud data breach in 2022. This accessibility of data is vital to business growth, but has also resulted in a significant increase in risk. At Laminar, we refer to those “unknown data repositories” as shadow data.

Management 52

Management Risk Risk Management Data Processing 52

Alation

DECEMBER 8, 2022

But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus. The report assesses governance vendors by size and offering type for prospective buyers.

Data Governance 52

Data Governance Data-driven Strategy Risk 52

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. Some data is more a risk than valuable. Value Management or monetization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52