Less file gathering.
More answers.
Sales, customer, and operational data in separate tools? We connect the sources and build reporting your team can use.
The data exists.
Where's the answer?
Setfive is a small software team in Cambridge, Massachusetts. We build data pipelines, warehouses, and business intelligence tools around the questions your business needs to answer.
Every report starts with a pile of exports.
The useful spreadsheet still needs someone to gather and clean its inputs. We automate that preparation and preserve the calculations the team relies on, rather than changing everything at once.
Each location has its own version of the truth.
Separate accounts and systems make it difficult to compare performance. We bring the records together, reconcile identifiers, and agree on common definitions before building the shared view.
A business question becomes an engineering ticket.
People shouldn't need a developer for every filter or export. We organize the data and connect a reporting tool or build a focused interface, so the team can explore the questions it asks regularly.
The dashboard looks right. The numbers don't.
Missing records, duplicate customers, and inconsistent definitions can make a polished dashboard misleading. We trace the data back to its source, check the transformations, and make freshness and gaps visible.
Start with a question, not a warehouse.
Bring the reports you use and the decisions they support. We work out which source data matters, how often it needs updating, and whether a small pipeline or a broader warehouse is the sensible first step.
Which answer
is hard to get?
Tell us what you'd like to report on, where the data lives, and how you're pulling it together today. An existing spreadsheet is a useful starting point.
You'll talk directly with the engineers doing the work. We'll ask about the workflow, the systems it depends on, and your budget or timing constraints before recommending a next step.
Prefer email? contact@setfive.com
Before the dashboard.
A few things you might be wondering before getting in touch.
Talk about your projectDo we need a data warehouse?
Not necessarily. A single report may only need a scheduled integration or a small reporting database. A warehouse becomes useful when you need to join several sources, retain history, or support more reporting. We scope around those needs.
Can you work with Snowflake, Redshift, or Looker?
Yes. Our work includes bringing business data into Snowflake and building ETL pipelines into Amazon Redshift with Looker reporting. We can work with your existing setup or help choose one based on the data, users, and running costs.
Can we keep the reports we already use?
Yes. Recreating a useful report while removing the manual data gathering is often a good first step. We compare the output with the existing report and work through differences in definitions or source records before asking the team to switch.
How fresh will the data be?
That depends on the business question and what the source systems allow. Some reports need daily updates; others need more frequent changes. We agree on a refresh schedule and make delayed or failed loads visible rather than calling everything real time.
Who maintains the pipeline after launch?
We discuss ownership as part of the project. We can document the pipeline for your team or provide ongoing engineering support. Source APIs, data formats, and reporting requirements change, so maintenance belongs in the plan from the start.