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.

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…

Long ago, before organizations became connected, every kingdom stood alone...

When people think about software engineering, they often think about programming languages, databases, or cloud infrastructure...

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...

In a time when kingdoms stood isolated, secrets hid behind towering walls and messages faltered across treacherous terrain, the world was stunted by miscommunication...

In the world of software engineering, understanding the organizational structure is crucial…