Compare

Spreadsheets, BI, or
built in-house?

You can answer "what is happening on my shelves?" four ways. We've laid them out side-by-side, with no marketing spin. The fourth column is honest about where we still have work to do.

Spreadsheets Legacy BI (Tableau, Power BI, Qlik) Build it yourself + Hank
Time-to-answer
Data freshness 3–14 days. Whenever the analyst pulled the file. 1–24 hours. Bound by the ETL schedule. Whatever you choose to build. Realistic for in-house: 1–6 hours. < 60 seconds. Streaming POS into the warehouse, into Hank.
Asking a new question 30–120 minutes. New tab, new pivot. 2–48 hours. Open a ticket with the BI team. 2–48 hours. Same - your BI team, your queue. 3 seconds. Plain English to Hank.
Plain-English answers No. You write the formula. No. You write the SQL or the DAX. Only if you've built an LLM layer (most haven't, and it's hard). Yes. Every answer cites its source rows and gives a confidence score.
Cost-to-stand-up
Initial setup time Hours. Already on every laptop. 3–9 months. Schema work, ETL, modeling, dashboards. 9–18 months. Plus you keep maintaining it. 2–4 weeks. POS integration → live.
Annual cost · 50-store retailer $0 in software. ~$280K in unaccounted analyst time. $60K–$180K licences + $400K–$800K in BI staff and contractors. $1.2M–$2.4M loaded cost. Three engineers, one PM, infrastructure. $210K all-in. Subscription + onboarding. No BI team required.
Maintenance burden One analyst leaves and the model breaks. Always. Continuous. Schema changes, new SKUs, dashboard rot, version upgrades. Continuous. It is now a product. You own a product. Ours, not yours. POS schema changes are absorbed by tapestry's integration team.
What it can do
Cross-store comparisons Possible. Painful at > 10 stores. Yes - if the model was built for it. Yes - if you built it that way. Yes. Ranked, ranked-by-impact, ranked-with-actions.
Recommendations & actions No. Data only. No. Data only. Only if you built a recommendation engine. Few have. Yes. Hank surfaces the next action - restock, reset, reorder - ranked by margin impact.
Supplier collaboration Emailed spreadsheets. Rarely shared outside the company. Custom build - supplier portals are their own product. Built in. Supply+ gives suppliers a governed lens on the same data, with your consent.
POS integrations Manual. Whichever export the team can write. Often a connector exists; quality varies. You build them. All of them. Forever. 7+ certified POS partners. Read-only, no writes, never.
Trust & governance
Data residency On the analyst's laptop. Wherever you host it. Wherever you host it. Your region only. AU, US, EU instances. SOC 2 Type II in flight Q3 2026.
What suppliers can see Whatever you email them. Not designed for cross-org sharing. Whatever you build. Usually too much, or too little. You control, SKU by SKU. Suppliers see only what you toggle on. Logged, reversible.

Run it against your real data.

A 30-minute walkthrough with your own SKUs. We'll show you Hank against a sample of your shelf data and you decide if the comparison above holds up.

Book a demo See the ROI model
Where we're honest

Where the other column wins.

No software is universally better. Here is where each of the alternatives is actually the right call.

Spreadsheets win when…
You have 1–3 stores, your analyst is good with Excel, and your range is small. The unaccounted analyst-time cost is real but lower than the subscription cost. We've talked plenty of operators out of buying us for this reason.
Legacy BI wins when…
You already have a working BI stack, the BI team is happy, and your questions don't change much month-to-month. BI tools are powerful for stable, repeated reporting. They are slow for ad-hoc operational questions, which is where we focus.
Building wins when…
You are an enterprise with an existing data platform team of 12+, a clear competitive moat in your data, and a 5-year roadmap. The largest two retailers in every market should be building this themselves. They are.
All cost figures sourced from public licence pricing & AU labour rates No vendor names in cost cells - methodology in the Economic Impact Report
Read the methodology →