Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. Regulation.

Uncertainty 99

Uncertainty Measurement Metrics Risk 99

Jet Global

JANUARY 17, 2019

Here are 5 ways that MDM can help you better organize your Dynamics ERP data for BI and analytics: Simplifies Data Structure. With all of your data mapping to your master data, you get a more clear and controlled view of your operations and how you are performing. Develops Data Governance. Download Now.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Octopai

SEPTEMBER 22, 2019

Consider: – In life insurance, actuaries rely on data from many sources to discover and define ever more granular health and lifestyle attributes to determine the overall risk level of each applicant. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud.

Metadata 41

Metadata Insurance Management Data Governance 41

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

Octopai

SEPTEMBER 14, 2020

Just keeping this data organized is a full-time job for a BI team, while deriving useful assessments from it is another time-consuming challenge. So, what happens when a regulatory body, empowered by guidelines put in place by BCBS 239 , requests a risk assessment audit? What is Metadata Management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

JUNE 21, 2023

But we sat down and fed it contracts and asked it nuanced questions about them: where are the liabilities, where are the risks,” he says. These models will be customized for specific business use cases and maintained by vendors who already know how to manage privacy and risk. Can we keep our data, customers, and employees safe?

Cost-Benefit 105

Cost-Benefit Modeling Risk Enterprise 105

Alation

MAY 10, 2021

Data governance ensures that “new truths” are produced systematically and with total transparency. Data Catalog Preparation (Phase Two). Leaders decide how the data catalog tool will support vital areas. Data Catalog Use Case Examples. Data governance. Privacy, risk & compliance.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80