We take great pride in our infrastructure design. Our infrastructure motto is that you should
“Always Be Sprinting”
and never be stuck with big redo’s because new requirements came in. To accomplish this we combine defensive and modular design principles with lots of foresight re what the next few years might look like for our clients. There’s also a lot process and communication to build out, particularly in between the data team and the platform SWE team(s); we’ve found that even the most skeptical software teams are eventually won over by our approach.
Scalable Solutions Across Infrastructure Areas
Analytics Table Stakes
Business Applications
Data <> Platform SWE
AI/ML
Niche
Data Infrastructure
Analytics Table Stakes
Basics: Dbt: analytics warehouse matched to budget; data transfer tools matched to use cases; BI tool(s) matched to budget and use cases; defensive modeling design principles
Data Safety: Protect PII, PCI, HIPAA data, sensitive financials, etc; reduce/remove the need for a BAA
Clickstream: focus, make core events reliable
Marketing: a many-headed beast that includes all digital marketing setup + validation as well as integrated measurement tools (combine with sales)
Data Infrastructure
Business Applications
Partner with implementing team in design for data utility and scalability
In complex cases we can bring in partner agencies for implementation
Data Infrastructure
Data <> Platform SWE
Establish process to ensure platform work provides most robust data feeds (within effort constraints)
Data Infrastructure
AI/ML
ML: Model pipelines, graduated transitions, preprocessing, feedback collection
Advanced: LLMs, computer vision, etc
Data Infrastructure
Niche
Typically for cases of fast iteration; ex: quickly/accurately trial different decision engines across a many-step operations process
