What You Need to Know: DESTINI Analytics is the data layer inside Beck Technology's preconstruction platform. It turns every estimate your team produces in DESTINI Cloud into a dedicated, continuously updated repository of historical estimating data - organized, governed, and ready to query. Instead of exporting estimates to spreadsheets, your team gets a single source it can report on, integrate with, and use to answer questions across your full project history
Most preconstruction teams already produce more data than they can use. Every estimate contains scopes, line items, quantities, costs, and fees - and once the bid is out the door, most of that detail settles into a file no one queries again. DESTINI Analytics exists to change that. It's the layer that sits beneath your estimating work and turns it into an organizational asset.
Concretely, DESTINI Analytics gives every DESTINI Cloud customer a dedicated, managed repository of their estimating data - a preconstruction data spine that stays current automatically. As estimates change in DESTINI Cloud, the data flows into that repository within minutes, with no exports and no manual assembly. What you get is not a snapshot of one project but a living, queryable record of every project your team has produced.
The default way teams try to analyze historical estimates is to export them to spreadsheets. The moment you do, those copies start diverging from the source, and anyone who wants to compare across projects has to reconcile them by hand. The work of assembling the answer falls to whoever needs it, every single time.
DESTINI Analytics replaces that pattern. Because the data flows in continuously and stays structured for comparison, historical questions don't require assembly - the data is already in a form that answers them. That's the difference between data that sits in files and data that does work. A live data layer is what makes cross-project reporting reliable instead of a manual project of its own.
Under the hood, DESTINI Analytics is organized as a lakehouse with three layers, and the separation is what keeps your reporting stable even as the data evolves. The raw layer is an untouched archive of every estimate exactly as it was produced - a permanent record that never changes, so everything built on top of it can be rebuilt if needed. The refined layer cleans and organizes that data into stable, consistently structured tables that analysts can query directly; Beck Technology treats this layer as a contract, meaning its structure won't change without advance notice and a migration path. The reporting layer is a polished, plain-language version of the refined data - descriptive names and pre-built calculations - that powers the dashboards inside DESTINI Cloud and stays current automatically.
The reason for three layers is simple: on most systems, when the data structure changes, reports break. Separating the archive, the analytical layer, and the reporting layer means a change in how estimates are shaped doesn't cascade into broken dashboards. If you want the full walkthrough of how each layer works, our deep dive on the estimating lakehouse covers it in detail.
DESTINI Analytics gives you four ways to reach your data, designed to work together rather than force a choice.
Most customers use a combination, depending on who's asking and what they need. An estimator gets answers from the built-in dashboards without leaving the platform; a data team builds custom analysis against the tables directly; a systems team pipes the data into an ERP through the API. The point of the data layer is that all of these read from the same governed source, so the numbers agree no matter which door you come through.
The repository holds the full content of your estimates, structured so they can be queried alongside every other estimate your team has produced: estimates and their metadata, scopes of work, line items with quantities and costs, cost categories, fees, work breakdown structure, and the relationships that connect them. If your team needs specific workflow fields surfaced, the data model can be extended on request.
This is the data behind the questions preconstruction leaders actually ask - how does this project compare to similar ones, which cost categories tend to run high, what's our average cost per square foot for this building type in this market. Answering those used to mean hours of assembly; with the data already structured for comparison, it becomes a question you can ask across projects directly.
For a buyer, the first question after "what can it do?" is usually "who can see it?" Each organization's data is isolated in its own dedicated repository - other customers cannot access it. Direct table access is read-only by design and enforced at the infrastructure level, and when your data team reads the tables from its own Microsoft Fabric environment, the data stays in Beck Technology's infrastructure while appearing native to your tenant. Governance isn't a setting you bolt on afterward; it's built into how the data layer is structured. We cover the security model more fully in a dedicated post.
The reason a data layer matters isn't reporting for its own sake - it's what becomes possible once your estimating history is organized, current, and query-ready. Cost comparisons that once took hours happen in seconds. Patterns that no individual estimator could see across hundreds of projects become visible because the data is structured to reveal them.
That's the evolution DESTINI Analytics is built to enable: from a system of record that stores what happened to a system of intelligence that informs what you do next. It's also what puts your team on solid ground as AI moves into preconstruction, because intelligence - human or machine - requires data that's trustworthy and connected. DESTINI Analytics is where that data lives.
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