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. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” Indeed, automation is a key element to data catalog features, which enhance data security.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. 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. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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. Thus identifying trends that may impact liquidity and take preemptive action to manage their position.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Automated Data Lineage & Discovery Provides Enterprise-Wide Benefits.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

AWS Big Data

AUGUST 14, 2023

Trunk (core data products) – Core data products are those that are central to the organization’s ability to function, and from which the majority of other data products are derived. Organizational governance for these data products typically favors availability and data accuracy over agility.

Management 75

Management Risk Measurement Optimization 75

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.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52