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Operations & Data Analytics — York, PA

Operations run on data. I make it behave.

Pivota Systems is the solo analytics practice of Anthony Powers — Excel models, reconciliation logic, dashboards, and reporting automation, sharpened by nine years running data inside surgical services.

The operations chain ← where it usually breaks
01
Schedule
02
Case build
03
Vendor & rep coordination
04
Tissue & implant reconciliation
05
Billing

This is the chain I ran data for, for nine years. The software handles the ends well and the middle badly — the middle is where cases stall, charges slip, and custody gets fuzzy. Every operations chain has a middle like this. Fixing it is a data problem, and it's the one I know cold.

9YRS
Inside surgical services
68+
Dashboards & tools built
1
Person you deal with — me

What I do

Data work for operations that can't stop moving.

Built in Excel, Power Query, Power BI, Access, and VBA — the stack your team already owns.

01

Reconciliation models

Excel and Power Query models that match records across sources on shared keys instead of eyeballs — so mismatches surface themselves.

02

Operational dashboards

Power BI and Excel reporting that gives operations and finance teams the numbers they act on, without a data team in the loop.

03

Reporting automation

VBA and Power Query routines that turn the manual steps — the mail-merges, the status chases, the double entry — into checked, repeatable ones.

04

Tracking databases

Access databases for the things spreadsheets keep dropping: inventory custody, vendor items, anything that needs one record per real-world thing.

05

Data cleanup & standardization

Untangling the workbook sprawl — duplicate names for the same item, broken lookups, three versions of the truth — into one keyed source.

06

Working with what you own

No rip-and-replace. I build the connective layer around the systems and licenses your team already pays for.

The work, in miniature

What reconciliation actually looks like.

A small illustration of the before and after. The data below is synthetic — built for this demo, drawn from nothing real — because that's the point: this class of problem doesn't need anyone's protected data to be shown, or solved.

implant_log_fragmented.xlsx Synthetic sample data
Case Item (as typed) Vendor sheet OR log Charge posted Status
2481 ACET SHELL 54MM matched
2482 acet shell 54 mm  lookup failed — trailing space
2483 FEM STEM SZ 11 used, not on vendor sheet
2484 TIB INSERT 10MM charged, no usage record
2485 Tibial insert 10 dup? same item, two names
2486 SCREW 6.5 X 40 never posted

// three sheets, three owners, no shared key — every mismatch found by a person, or not at all

The shape of the fix, not the size of it: a shared key, checked automatically, with every exception turned into a task instead of a surprise. What the flags catch — and what that's worth — depends entirely on your volume and your data, which is what an actual look would establish.

Who's behind it

Anthony Powers. Nine years running operational data inside surgical services across a multi-hospital system — where I kept ending up building the models, dashboards, and databases the official software should have provided and didn't.

Solo practice, on purpose. You work directly with the person doing the work — not an account manager standing between you and it.

Hands-on with
EpicSurginetCPSIMedent Excel / Power QueryPower BIMS AccessVBA

Tell me where your chain breaks.

If cases stall, charges slip, or the implant record never quite matches reality, that's a conversation worth having. No pitch deck — just a look at what's actually happening.