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.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

MARCH 24, 2023

It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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. These regulations required quarterly risk-evaluation reports. Automated Data Lineage Ends BI Chaos Download our whitepaper to learn how!

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

Cloudera

SEPTEMBER 7, 2023

Enable reporting to internal teams about the statuses of AI projects. 3- Advanced AI Integration At this stage of adoption, financial institutions and insurance companies engage more intensively with AI and its capabilities, extracting more valuable insights from data. AI-ify risk management. Automate wealth management.

Insurance 79

Insurance Risk Data-driven Finance 79