Self-Service Analytics
$25,000 to $45,000 across departments over six to ten weeks, fixed, or a $14,500 pilot for one department first. Staff ask a question in plain English and get the number, a chart or a dashboard. The answers use the definitions your data team agreed on, and the system must get a set of questions with known answers right before anyone outside the data team uses it.
Prefer to skip the call? Get a written proposal
Built for
- Managers who wait days for an analyst to answer a simple question
- Data teams buried in one-off report requests
- Sales, referral and operations teams at the back of the data team's queue
- Organizations with a data warehouse few people outside IT can use
Why it's worth it
Today
A manager who wants last month's referrals by clinic files a request and waits days, because the data team works regulatory and board deadlines first. If one-off requests take an analyst a day a week, that's about $24,000 a year at the median data scientist's pay of $120,230.
After
She types the question and gets the number, a chart or a dashboard on the spot, counted the way your data team agreed. Routine questions stop landing in the data team's queue.
What you get
Foundation
Agreed definitions (the semantic layer)
Each measure is defined once in the warehouse, so “no-show rate” or “active patient” means the same thing in every answer.
Accuracy
A verified question set
50 to 100 real questions with known answers. The system has to match every one before anyone outside the data team uses it.
Answers
Numbers, charts and dashboards
A plain-English question returns the number, a chart or a dashboard, with the query shown so an analyst can check it. Each department also gets three or four ready-made views, such as a trend chart and a one-page summary for meetings.
Access
Your existing permissions still apply
Everyone signs in with their work account and sees only what they can already see in the warehouse. Every query is read-only.
Tyler has built this before
He has built AI self-service analytics for companies, where staff typed a request in plain language and got a dashboard back. He built them on data platforms he set up, with a semantic layer of agreed definitions underneath.
Read Self-service analytics for sales and operations teams for how it works and what it costs to run.
Price
One fixed price, written into your proposal. After launch, your warehouse provider bills you directly for usage, and support from us is optional at $1,500 a month.
Full build
For two or more departments
Price: from$25,000
Up to $45,000 if your tables and measures still need written definitions.
One time
6–10 weeks
Staff across your departments ask in plain English and get the number, a chart or a dashboard.
What's included in Full build
- Agreed definitions for the measures each department asks about
- 50 to 100 verified questions it must answer correctly before release
- Three or four ready-made views per department, and generated dashboards your data team reviews
- Single sign-on permissions and read-only queries
- Training for staff and the data team, and 30 days of fixes
Want proof on one team first? Start with a one-department pilot on your current warehouse for $14,500, one time, credited toward the full build within 90 days, and everything it builds carries over.
Payment and terms
- Under $20,000, half at signing and half at delivery. From $20,000, 40% at signing, 30% at a mid-build demo and 30% at acceptance
- Paying by purchase order? There's no deposit: we invoice half at kickoff and half at acceptance, or from $20,000, 25% at kickoff, 35% at a mid-build demo and 40% at acceptance
- Runs on the warehouse and BI tool you already pay for, with no new per-seat license
- Your warehouse provider bills you directly for usage, and your proposal estimates that bill before you sign
- 30 days of fixes after acceptance; support after that is optional at $1,500 a month
- You own the definitions, the question set and the code
Start and finish dates are set in writing in your proposal.
Tyler Kent does this work himself. He has 13+ years in data science and analytics, most of it in healthcare. About Tyler
Questions
Do we need anything in place first?
A cloud data warehouse. If its tables and measures already have written definitions (a data dictionary), one department can start with the $14,500 pilot. If they don't, writing them is part of the full build. No warehouse yet? Data Warehouse and Reporting builds one first.
Which tools does it work with?
The warehouse and BI tool you already have, such as Snowflake, BigQuery, Databricks, Power BI or Tableau.
How do you keep it from giving wrong answers?
Answers come from the agreed definitions instead of raw tables, and the system has to match the verified question set before release. A question outside the agreed definitions goes to the data team.
Can staff ask about individual patients?
Not at first. The first build covers aggregate or de-identified questions. Patient-level questions start once a BAA and our insurance are in place and the permissions have been tested.
What does it cost to run?
The warehouse charges for each query, and there's no new per-seat license. Your proposal estimates that bill before you sign, and if you start with the pilot, its usage report shows your real monthly figure before rollout.
What happens after launch?
Thirty days of fixes are included. An optional support plan at $1,500 a month adds new questions to the verified set, sends a monthly accuracy report and builds new dashboards on request.
How an engagement worksQuestions about prices, payment and patient data
Book a 20-minute call
Tell us which questions your team waits longest to get answered. If we can help, you'll get a fixed-price proposal within 48 hours.
Prefer to skip the call? Get a written proposal
Or email tyler@kentapplied.com, or connect on LinkedIn.