Data Quality

Shared knowledge base pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

Data cleanup workflow pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

System-of-record clarification pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

An Applied Systems Lab case study for mapping Grant documentation, clarifying the business question, and comparing practical implementation choices.

An Applied Systems Lab case study for mapping Records reconciliation, clarifying the business question, and comparing practical implementation choices.

An Applied Systems Lab case study for mapping Quality issue tracking, clarifying the business question, and comparing practical implementation choices.

An Applied Systems Lab case study for mapping Permit request review, clarifying the business question, and comparing practical implementation choices.

Knowledge silos creates delays, rework, and limited visibility for the team.

Records reconciliation creates delays, rework, and limited visibility for the team.

Data quality creates delays, rework, and limited visibility for the team.

Legacy system dependency creates delays, rework, and limited visibility for the team.

Shared knowledge base pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

Data cleanup workflow pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

System-of-record clarification pattern for addressing operating friction while preserving adoption, measurement, and human ownership.

Data Quality capability considered within a practical, business-first solution path.

Autonomous vehicles combine multiple algorithms and models, each solving a different part of the problem...

Adaline (Adaptive Linear Neuron) is an early machine-learning algorithm, but it introduces ideas that still sit at the heart of modern ML...

Custom software opportunities are easier to understand through cases than abstractions...

One of the biggest mistakes people make when thinking about a local economy is treating it as a collection of independent businesses...

Modern banking systems don’t stay reliable because of a single technology or algorithm…

One idea I’ve been exploring is whether software simulations could become a better way to teach distributed systems…

Explore the intricate world of autonomous vehicles and discover how they navigate our roads...

Dive into the foundational concepts of machine learning with Adaline, or Adaptive Linear Neuron...

Explore the nuanced landscape of custom software opportunities through real-world case studies...

Explore the intricate web of our local economies and discover why they cannot be viewed as just a collection of independent businesses…

Explore the intricate reliability of modern banking systems, where small engineering choices come together daily...

Can a simulation enhance understanding of distributed systems beyond traditional textbooks? This video explores a virtual business scenario where multiple sales channels operate independently amidst real-world challenges like network latency and message queues...