Power BI consultant for Austin and Central Texas teams

What Austin's industries actually ask Power BI to answer

The software and subscription businesses concentrated here need recurring-revenue reporting that survives scrutiny: ARR and net revenue retention reconciled to the general ledger, churn defined the same way in the board pack as in the customer-success review, and cohort views that separate expansion from new business. Fintech and payments teams need volume, authorization and approval rates, settlement timing, chargebacks, and risk exposure in one place, with access controls tight enough that not everyone sees everything. Semiconductor and hardware manufacturers need yield, scrap, work-in-progress, equipment availability, and supplier on-time delivery lined up against demand, because a single week of unexplained yield loss reshapes a quarter.

Those look like three different problems and are mostly one: too many sources, no agreed definitions, and a reporting layer assembled by hand. The fix is a properly modeled semantic layer plus enough governance that the model stays trustworthy after the consultant leaves. That is what our Power BI dashboard development work delivers once the direction is set, and it is why consulting almost always comes first.

Governance that holds when nobody is in the same room

Distributed teams break ungoverned tenants faster than co-located ones. Someone in a different time zone needs a number by morning, spins up a workspace, copies a model, and publishes a report that disagrees with the certified one — and nobody notices for a month. We define workspace structure, naming standards, a certification path for datasets that leadership is allowed to cite, row-level security for the data that genuinely needs it, and explicit publishing rights, following Microsoft's Power BI adoption roadmap (opens in new tab). The test of a governance framework is not how complete it looks in a document; it is whether a hurried analyst at 6pm follows it.

Deployment discipline for teams that ship weekly

Software and fintech teams already run code through development, staging, and production with review gates. Their reporting rarely gets the same treatment, and a measure edited live in front of an executive audience is a genuine risk — especially where investors, auditors, or a regulator will eventually ask how a figure was derived. We set up separate development, test, and production workspaces with Power BI deployment pipelines (opens in new tab), document refresh schedules and gateway configuration, and write down who may promote a change. The result is a reporting layer that changes on purpose, with a record of what changed and when.

How remote delivery works for Austin, and what it saves you

We are US-based and work with Austin teams remotely, on US business hours, with live overlap across Central time for workshops, readouts, and pair sessions. We are equally set up for organizations in the Dallas/Fort Worth area and for Austin companies whose finance team sits in Texas while engineering sits elsewhere. There is no local office, and we would rather be straightforward about that than imply otherwise: for Power BI work, almost everything happens inside your tenant over a screen share, and the overhead of a downtown address would show up in your rate without improving your reports.

What replaces proximity is written work. Every engagement produces documented findings, model documentation, and recorded enablement sessions, so a colleague three time zones away gets the same handover as the person who sat in the call. It is the same senior engineer either way — the model we use for teams in Los Angeles and San Diego, and it travels well.

What it costs and how the hours work

Consulting runs on prepaid Flex hours: you buy a block, send a task, and we return a scope-and-hours estimate before starting. Hours are deducted only for work you approved, and they never expire — no retainer, no project minimum, no clock running on discovery calls. Most scoped tasks land in three to five business days. If you are unhappy in the first four hours of a block, we refund it in full.

The full mechanics — how tasks are scoped, how hours are logged, and what happens when a block runs low — are set out on how it works and pricing. When you are ready to talk specifics, send us the task and we will scope it. You own everything we produce: models, reports, documentation, and the roadmap behind them.