Why Are Enterprise Analytics and AI So Painful? The Case for Data Pipeline Observability

Nov 13, 2020 by Kevin Petrie and Wayne Eckerson in Decoding Data Software

ABSTRACT:

This blog, the first in a series, examines the evolution of enterprise data environments, rising pain of complexity, and resulting requirements for data pipeline observability.

A Systems Thinking View of Business Analytics, Part III: Making Cause and Effect Measurable

Nov 11, 2020 by Dave Wells in Data Management

ABSTRACT:

The power of analytics is in opportunities for understanding, simulation, and insight that drives innovation. Quantitative analysis of cause-and-effect relationships is a key component of high-impact analytics.

What is a DataOps Engineer?

Nov 11, 2020 by Joe Hilleary in Delving Into Data

ABSTRACT:

This article examines the emerging role of the DataOps engineer, a dedicated technical staff member responsible for the data development lifecycle.

Optimizing Privacy Management through Data Governance – Part II: Building Alignment

Nov 11, 2020 by Sean Hewitt in Data Governance

ABSTRACT:

Part two of this five-part series on data governance and privacy management best practices focuses on building alignment for your privacy program through data governance.

Five Steps to Succeed with Your Continuous Intelligence Strategy

Nov 11, 2020 by Kevin Petrie in Decoding Data Software

ABSTRACT:

To succeed with Continuous Intelligence, choose simple, scalable use cases, build integrated workflows, tap external data sources and constantly iterate.