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Blogs

Our blogs are your gateway to a world of thought-provoking articles that navigate the complexities of AI, machine learning, and data-driven strategies. Authored by our team of data science experts, each blog post unveils a tapestry of knowledge, demystifying intricate concepts, unraveling industry trends, and offering fresh perspectives on the ever-evolving landscape of technology.

data architecture
Blogs

Data Architecture 101, Part 4: Ontology-Driven Development is Lean

In software-development & data architecture nirvana, the business analysts, database technologists, and application developers all speak the same language. Everyone agrees about what each user story means.

By Drew Clancy, 9 yearsMay 29, 2014 ago
data architecture
Blogs

Data Architecture 101, Part 3: Dimensions

Data marts, data warehouses, and some operational datastores use dimension tables. A dimension table categorizes a fact table that joins to the dimension. At query time one filters the facts by values in the dimension table, and uses those values to label the query results

By Drew Clancy, 9 yearsApril 30, 2014 ago
data architecture
Blogs

Data Architecture 101, Part 2: Relational Architectures

This post uses those concepts to survey the main types of relational architectures. These divide fundamentally into two types, the second having four sub-types: OLTP & BI.

By Drew Clancy, 9 yearsApril 10, 2014 ago
Startup Start Up Freelancer
Blogs

The Role of Industry Experience in Data Science

In this post we explain why the assumption about industry experience is outdated—why often industry experience detracts from the best possible application of data science.

By Drew Clancy, 9 yearsApril 10, 2014 ago
Transformations of Individual Variables
Blogs

Data Science Design Pattern #5: Combining Source Variables

Variable selection is perhaps the most challenging activity in the data science lifecycle. Our blog highlights a repeatable approach to variable engineering.

By Drew Clancy, 10 yearsMarch 26, 2014 ago
Transformations of Individual Variables
Blogs

Data Science Design Pattern #4: Transformations of Individual Variables

n this post we describe some common ways to transform individual variables, and explore how doing so may benefit an analysis.

By Drew Clancy, 10 yearsMarch 11, 2014 ago
data driven organization
Blogs

The Executive Role in a Data-Driven Organization

Our blog post examines the role of an executive in a data-driven organization.

By Drew Clancy, 10 yearsMarch 11, 2014 ago
Transformations of Individual Variables
Blogs

Data Science Design Pattern #3: Handling Null Values

Most data science algorithms do not tolerate nulls (missing values). So, one must do something to eliminate them, before or while analyzing a data set.

By Drew Clancy, 10 yearsMarch 3, 2014 ago
data architecture
Blogs

Data Architecture 101, Part 1: Rudiments

This blog aims to become a “nutshell” treatment of the subject, so those of you who work with data in a relational database management system (RDBMS) can quickly learn how to make the best possible use of a database.

By Drew Clancy, 10 yearsMarch 3, 2014 ago
Transformations of Individual Variables
Blogs

Data Science Design Pattern #2: Variable-Width Kernel Smoothing

This data science design pattern blog post focuses on kernel smoothing.

By Drew Clancy, 10 yearsFebruary 19, 2014 ago

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