Most data projects spend their first two months rebuilding things somebody has built before: workspace structures, deployment pipelines, medallion scaffolding, naming standards, security patterns. Accelerators are our answer to that waste. They are the pre-built, battle-hardened versions of everything a Microsoft data project needs on day one, refined across our client base and deployed into your tenant, under your ownership.
Two of them have names worth knowing. Xscale is our Fabric capacity cost optimiser: it right-sizes capacities, schedules workloads and watches utilisation continuously. At Mount Anvil it cut Fabric platform costs by 80% against the original baseline, which turned a promising platform into a financially sustainable one. Xtract is our document and data extraction accelerator, combining Azure AI services with human-in-the-loop validation to pull structured data out of invoices, contracts and forms.
The rest of the library is less glamorous and just as valuable: medallion lakehouse templates, Power BI theme and semantic model patterns, governance packs aligned to FCA and PRA expectations, and DevOps pipelines that give a new estate proper ALM from its first commit.
One thing accelerators are not: a substitute for thinking. They compress the predictable eighty percent of a build so the effort goes into the twenty percent that is genuinely yours. And nothing locks you in; everything we deploy is standard Microsoft technology, documented and handed over.