Your BI Environment Is a Warehouse Full of Unsold Inventory
Your BI environment is a store for your company’s decisions. You’re either running it well or just letting the shelves fill up and hoping for the best.
Quick question: do you know the carrying cost of your BI environment?
Not the license fees. Not the platform spend. The carrying cost. What are you paying to maintain, refresh, and govern dashboards and reports that nobody’s using?
If your CFO asked you that question tomorrow, could you answer it? Most data leaders can’t. They can tell you what Snowflake costs. They can tell you what they’re paying for Tableau or Looker. But they couldn’t tell you how much of that spend is going toward assets that are just sitting on a shelf, untouched, expiring quietly.
Inventory has a carrying cost. So does BI.
If you run a business (or any part of one) you understand inventory. You know that a product sitting on a shelf isn’t free just because nobody’s buying it. It takes up space. It ties up capital. Someone has to count it, maintain it, make sure it hasn’t expired. And the longer it sits there, the more it costs you relative to what it’ll ever return.
BI assets work the same way. Every dashboard consumes compute when it refreshes. Every report takes up space in your environment. Every unused data source still needs to be governed, secured, and maintained. The fact that nobody’s looking at it doesn’t mean it’s not costing you money. It just means you’re paying for something you’re getting nothing from.
In retail, there’s a name for this: dead stock. In BI, we just call it “the environment” and move on.
You wouldn’t sell expired products. Why are you serving stale dashboards?
A grocery store pulls products off the shelf when they expire. Nobody debates it. But most BI environments are full of dashboards built on logic that hasn’t been updated in quarters, sourcing data from pipelines that may or may not still be accurate, presenting numbers that people are making real decisions on.
Nobody checks the expiration date. Nobody’s job is to walk the aisles and pull what’s gone bad. So people grab what’s on the shelf, assume it’s good, and make decisions with it. You don’t have a tooling problem. You have an inventory management problem.
The weird part: your vendors are also your customers
This is where the analogy gets a little weird, but also more honest.
In a normal retail operation, there’s a clear separation. Vendors make products. Buyers decide what goes on the shelf. Customers shop from what’s available. There are quality checks, purchase orders, shelf space decisions. A vendor can’t just show up overnight and stock the shelves with whatever they want.
But that’s exactly what’s happening in most BI environments.
We called it “self-service BI.” The intent was to give business teams the power to answer their own questions. What we actually built was a system where anyone can put anything on the shelf. No quality check. No review process. No buyer deciding whether this product deserves shelf space or whether there’s already an identical one two aisles over.
A business analyst builds a dashboard because they needed to answer a question on Tuesday. It’s half-baked. Good enough for that meeting, not good enough for anyone else. But it’s on the shelf now. And six months later, someone from another team finds it, assumes it’s a real product, and starts making decisions with it.
A vendor would never get away with putting an unfinished product into inventory. But that’s what we’re doing every day and calling it empowerment.
Self-service was the right idea. But self-service without governance is basically supply chain management with no supply chain. The people creating dashboards need to think like vendors. Does this meet a quality bar? Is there already something like it? Will I maintain it? And someone (a data team, a governance function, even just a lightweight process) needs to think like a buyer. Does this earn its shelf space?
Good retailers know exactly what’s on every shelf
Walk into any well-run store and they can tell you what’s selling, what’s not, what’s overstocked, and what needs to be reordered. They have systems for this. They measure sell-through rates, days on shelf, margin per square foot. They don’t guess.
Most companies cannot tell you how many dashboards they have. Let alone which ones are being used, which ones are redundant, which ones are serving stale data, or which ones are costing more to maintain than the decisions they inform are worth.
You’d never run a store that way. But that’s how most companies run their BI environment.
Start managing it like you’d manage inventory
The point isn’t to stop building dashboards. It’s to start applying the same discipline to your BI environment that any decent retailer applies to their inventory:
- Know what you have. Get a full picture of every asset, who built it, when, and what it depends on.
- Track what’s moving. Usage data is your sell-through rate. If a dashboard isn’t getting looked at, that’s a signal, not something to ignore.
- Pull what’s expired. Set a freshness standard. If a dashboard hasn’t been updated or used in 90 days, flag it. Nobody claims it? Remove it.
- Control what goes on the shelf. Self-service doesn’t have to mean no standards. Even a lightweight review process beats the current state of “anyone can publish anything.”
- Measure the cost of carrying it. Compute, licenses, maintenance time, governance overhead. Your BI environment has a cost per square foot, even if you’ve never calculated it.
Your BI environment is a store for your company’s decisions. You’re either running it well or just letting the shelves fill up and hoping for the best.
