CIO Business Intelligence

MARCH 24, 2023

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. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

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

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 83

Data Warehouse Management Snapshot Data Lake 83

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

IBM Big Data Hub

MAY 9, 2023

This solution is designed to include everything needed to develop a consistent transparent model management process. The resulting automation drives scalability and accountability by capturing model development time and metadata, offering post-deployment model monitoring, and allowing for customized workflows.

Metadata 75

Metadata Risk Experimentation Dashboards 75

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

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. These regulations required quarterly risk-evaluation reports. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

erwin

SEPTEMBER 3, 2020

Documenting data in motion looks at how data flows between source and target systems and not just the data flows themselves but also how those data flows are structured in terms of metadata. We have to document how our systems interact, including the logical and physical data assets that flow into, out of and between them.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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. 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

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

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

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

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. Download your complimentary copy of the Gartner Innovation Insight: Data Security Posture Management today to see the full report from Gartner. and/or its affiliates in the U.S.

Management 52

Management Risk Risk Management Data Processing 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

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

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

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

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

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. Train anyone who will have interaction with the new system on the nature of these differences – before your ETL, reporting system or database migration to the cloud. 1) Plan it out.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

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 78

Risk Management Risk Metrics Machine Learning 78

AWS Big Data

AUGUST 14, 2023

These may be data products consumed in the implementation of key business activities, or associated with critical processes such as regulatory reporting and risk management. These data products may be widely used across business functions to support reporting and analytics, and—to a lesser extent—operational processes.

Management 77

Management Risk Measurement Optimization 77

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

Laminar Security

NOVEMBER 16, 2023

While SIEM helps you collect and analyze security data from various sources, DSPM’s byproduct (metadata) helps you to further analyze security info from your cloud data. It helps in auditing and reporting on data security practices. DSPM enriches the data security intelligence of SIEM.

Risk 59

Risk Cost-Benefit Dashboards Management 59

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

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. Value Management or monetization. Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

IBM Big Data Hub

FEBRUARY 8, 2023

Automate the capture of model metadata and increase predictive accuracy to identify how AI is used and where models need to be reworked. Risk management Automate model facts and workflows for compliance to business standards. identify, manage, monitory and report on risk and compliance at scale.

Risk Management 52

Risk Management Risk Modeling Metadata 52

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 122

Risk Cost-Benefit Software Reporting 122

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. Make Data Accessible & Usable.

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. Automating the curation of data assets also accelerates the time to value for analytics/insights reporting significantly reduce operational costs.

Measurement 96

Measurement Sales Data Governance Metadata 96

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

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