A Guide to Maximum Data Lake Value

Sep 11, 2020 by Dave Wells in Data Management

ABSTRACT:

Building and operating a data lake is a big investment with uncertain ROI. The processes to put data into a data lake don’t create value. They only create databases. Getting to value requires a plan that embraces the adaptability, agility, trustworthy data, and smart automation—all enabled with...

Creating an Analytics Culture, Part I: 12 Characteristics

Sep 09, 2020 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This article introduces 12 characteristics of an analytics culture and the factors that give some organizations a head start but how others can catch up.

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...

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,...

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...