erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Who are the data owners? Five Consequences of Ignoring Data Lineage.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

erwin

APRIL 29, 2020

The CEO also makes decisions based on performance and growth statistics. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

datapine

FEBRUARY 22, 2022

Collect and prioritize pain points and key performance indicators (KPIs) across the organization. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

NOVEMBER 10, 2023

What are the ERP system’s specific data requirements and is it compatible? Which key performance indicators (KPIs) need to be tracked? Define what data transfer method you want to use and test it to be sure it is the right migration process. Create a data governance policy and put protocols in place.

Enterprise 118

Enterprise Consulting Testing Cost-Benefit 118

erwin

NOVEMBER 13, 2020

Data Center Consolidation. Data Governance (knowing what data you have and where it is). For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. Innovation Management. Artificial Intelligence.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 81

Management Risk Measurement Optimization 81