A Systems Thinking View of Analytics, Part I: Introduction to Systems Thinking
Sep 08, 2020 by Dave Wells in Data Management
ABSTRACT:
Causal analytics is the process of exploring data to understand why things happen. It blends experimental design and statistics to find plausible explanations for patterns in the data, leading to conclusions that don’t reflect cause-and-effect realities in a complex world. Adding the disciplines...
Continuous Intelligence: the Nexus of Data Integration, Analytics and Operations
Sep 08, 2020 by Kevin Petrie in Decoding Data Software
ABSTRACT:
Continuous Intelligence (CI) seeks to automate and integrate data ingestion, transformation, analytics and real-time operations, incorporating a wide range of contextual data. While enterprises have a long way to go, this old idea is more achievable than ever before thanks to machine learning,...
Flexible Data Pipelines: Balancing Standard and Custom Approaches
Sep 08, 2020 by Kevin Petrie in Decoding Data Software
ABSTRACT:
Enterprises use both standard and custom data pipelines to process raw data into analytics-ready data sets. They must apply the right mix, creating efficiency and scale via standardization and automation where possible, but still accommodating customization in order to innovate. But many get the...
A Maturity Model for Cloud Data Management: Enabling Cloud-Driven Data Warehouses and Data Lakes
Sep 02, 2020 by Wayne Eckerson in Data Strategy Insider
ABSTRACT:
The cloud raises the stakes for data management, as organizations rely on emerging platforms that provide all-in-one data management solutions.
Webinar slides: Modernizing Data Quality and MDM: How AI can Automate the Delivery of Governed Data
Sep 02, 2020 by /experts/ in Vagner on the Vanguard
ABSTRACT:
Slides from the webinar. The dirty little secret of data analytics is that the quality of enterprise data is often quite poor. Data analysts still spend an inordinate amount of time harmonizing data from different systems. This webinar presents a framework for modernizing data quality and master...