--- title: "Power BI Consulting in Sydney | Project2100" description: "Power BI consulting in Sydney for finance and operations. Explore report examples, connect your data and build dashboards your team can trust. Talk to us." url: https://www.project2100.com/power-bi-consulting updated: 2026-10-26 generated: true --- > The machine-readable version of https://www.project2100.com/power-bi-consulting > > The body below is this page's own content, generated from the page at build time: the same words, in the same order, with nothing summarised or reworded. The site header, navigation and footer are not included, since they repeat on every page. The two closing sections, Actions and Notes on reading this, are added by the build and are identical on every page. Sydney · Working with teams across Australia # Power BI consulting. Reports you can trust. Project2100 builds Power BI dashboards and financial reports around your business. We connect the sources, define the measures and support the refresh, so finance and operations work from the same figures. [Talk to an engineer](/book.md) With the engineer who would build it. Free, no obligation. [Explore our report examples](/power-bi-consulting.md#report-examples) Actuals Finance export Revenue**$2,848,000** Budget Plan.xlsx Revenue**$2,742,000** Operations Sites.csv Reporting sites**12 locations** Finance performanceOctober 2026 Actuals meet expectations. ## See the difference. Actual revenue**$2.848m****Awaiting data** Budget**$2.742m** Variance**+$106k****Awaiting data** Revenue by monthActual Budget May Jun Jul Aug Sep Oct Revenue ahead of budget **+$106,000** Another month. Another export. 01Rebuild the report02Refresh the model03Explore the variance Example workflow. Illustrative data. From our reporting work ## Power BI report examples. Built for the next question. Explore three report patterns from our Power BI work: profitability by site, a financial statement and checks for missing inputs. These interactive browser recreations use fictional companies and figures. 01Weekly profitability02Monthly profit and loss03Data completeness PROJECT2100 / REPORT EXAMPLES ### Weekly profitability Demonstration data · Amounts in AUD Reporting periodWeek of 19 October 2026Week of 12 October 2026 Portfolio income**$126,500** Gross profit**$30,400** Gross margin**24.0%** Scroll across to compare all columns. | Profit and loss | Harbour | Parkside | Riverside | Portfolio | | --- | --- | --- | --- | --- | | Income | 48,000 | 36,500 | 42,000 | 126,500 | | Wages and on-costs | 28,200 | 24,600 | 24,800 | 77,600 | | Agency labour | 3,900 | 5,200 | 3,100 | 12,200 | | Other direct costs | 2,400 | 1,800 | 2,100 | 6,300 | | Total direct costs | 34,500 | 31,600 | 30,000 | 96,100 | | Gross profit | 13,500 | 4,900 | 12,000 | 30,400 | | Gross margin | 28.1% | 13.4% | 28.6% | 24.0% | Review point Parkside has the lowest gross margin at 13.4%. Compare wages and agency costs with the other sites before deciding what to change. Recreated from our Power BI report designsFictional data. No client information. ### Which sites need attention? Income, wages, agency costs and gross profit in one view. Compare sites without rebuilding a workbook for each one. ### What changed since last month? A familiar financial statement with the current period, prior period and movement side by side. Expand costs to inspect the detail. ### Are the inputs complete? See which sites have supplied income, payroll and agency inputs, and which submissions still need a follow-up before the report is reviewed. Have a report your team rebuilds every month? [Show us what you’re working with](/report-review.md) ## How it fits together. Accounting, payroll, sales and operational data reach one Power BI model, and every report page reads from that model. ## Start with the work. A Power BI report is only useful when its totals agree with the figures finance signs off. If month-end still means exporting files, rebuilding measures or explaining two versions of the same number, we start with the model underneath, not the charts. 01 ### One model for every report Agree measures, account and site mappings and date logic once, in a Power BI model that every report page reads, so each figure is calculated one way. 02 ### Report pages for the reporting cycle Build management P&L, budget versus actual, labour cost and operational pages around the decisions your team makes each week or month. 03 ### Refresh and access Schedule refreshes from the agreed sources, set who can see which pages or sites, and show readers when data is late or incomplete. 04 ### Fix an existing report Review a Power BI report that no longer matches the accounts: its model, measures, refresh chain and access. Repair what is wrong before adding pages. ## From source records to a report people use. The same sequence for a new build or a repair: the figures people rely on, the sources behind them, the model, then the report pages. ### Start from the figures people rely on We list the numbers the report must show, where each one comes from and who signs it off. Measures are defined with the finance owner before any page is built, so the report and the management accounts use the same definitions. ### Connect the sources the report needs Accounting, payroll, sales and operational data reach Power BI through a database such as Azure SQL, a pipeline such as Azure Data Factory, a supported connector or a controlled export. The choice depends on what each system allows and how often the report has to refresh. ### Reporting by site, entity or department Multi-site and multi-entity reporting depends on the mappings: which site a payroll row belongs to, which account rolls into which P&L line, and which period a transaction falls in. - Site, entity and account mappings kept as maintained tables, not buried in formulas. - P&L lines in the order your team already reads. - Labour cost beside revenue where payroll data is available. - Daily, weekly or monthly views from the same model. ### Checks before anyone relies on it A completed refresh does not prove the numbers are right, so the checks are part of the build. - Report totals reconciled to the source system for the agreed periods. - Missing periods, duplicate rows and unmapped records listed, not dropped. - The time of the last successful refresh shown on the report. - A named owner for each measure, and for the refresh after launch. ### After launch We agree who owns the model, who can change it and how refresh failures are handled. Project2100 can operate and extend the reports under managed reporting and support, and the documentation covers the model, the refresh and the checks either way. ## Who this is for. ### A good fit - Power BI reports whose totals need to agree with the management accounts. - Month-end that still means exporting files or rebuilding measures. - Reporting by site, entity or department that depends on mappings. ### Not a fit - A dashboard wanted before anyone agrees which figures it must show. - Figures that nobody in finance will own or sign off. - A one-off report you will not refresh. ## What one report costs you. Put in your own numbers for one report your team produces again and again. This counts the hours and what they cost. It does not guess at savings: that depends on the report. People who work on it Hours each, every time How often WeeklyFortnightlyMonthlyQuarterly Hourly cost per person, AUD Salary and on-costs, per hour worked. Hours a year 144 Cost a year $10,800 Full-time weeks 3.8 The starting numbers are an example. Nothing is sent unless you send the report. [Send us this report](/report-review.md) ## How a first project runs. Start with something valuable. Prove it. Expand from there. 1. **01Embed** Step 1 We work in your systems and beside your team from day one, so the process is understood where the real work sits, not described to us in a meeting. 2. **02Map** Step 2 Your systems, data, logic and reporting requirements, and the decisions behind them. We find the numbers that matter and where they actually come from. 3. **03Build** Step 3 We automate the highest value workflows first, in the stack you already run. You see working software early and often, not at the end. 4. **04Run** Ongoing We operate and extend what we build: support, improvement, and the changes a business keeps needing, from engineers who already know your stack. ## Before we begin. Something else to ask? [Talk to an engineer](/book.md), the one who would build it. - **Can we see examples of your Power BI reporting work?** Yes. This page includes interactive browser recreations of weekly profitability, monthly profit and loss, and data-completeness report designs from our Power BI work. The examples use fictional companies and figures. They demonstrate the report structure and interactions, not a live client dashboard. - **Do you provide Power BI consulting in Sydney?** Yes. Project2100 is a Sydney based consultancy that builds Power BI reporting for finance and operations teams: the source connections, the data model, the report pages and the refresh. We also work with teams elsewhere in Australia and in the United Kingdom. - **Can Power BI report from our accounting and payroll systems?** Usually, yes. Depending on the system, the data reaches Power BI through a supported connector or API, a database such as Azure SQL, or a controlled export. We confirm what each system allows, how much history it holds and how often it can refresh before agreeing the approach. - **Why does our Power BI report not match the management accounts?** The usual causes are mappings and timing: an account rolled into the wrong line, transactions falling in a different period, journals posted after the data was extracted, rows duplicated by a join, or a filter that leaves out a site. We trace one total from the source system to the report page to find which applies, then fix it in the model. - **Do we still need Excel if we use Power BI?** Often, yes. Excel stays useful for adjustments, working papers and formatted packs, while Power BI suits shared reporting from one model. We agree which job each tool does, so a figure is not calculated in two places. - **How much does Power BI consulting cost?** It depends on the number and condition of the sources, the number of report pages, how much mapping and reconciliation the figures need, the access rules and the support you want afterwards. Build work is scoped separately from Microsoft licences, any Azure hosting and ongoing support. A sample report and a list of its sources are enough to scope a first release. - **Can you fix a Power BI report someone else built?** Yes, after a review. We look at the model, measures, refresh chain and access settings, then list what is wrong and what it would take to fix before recommending any rebuild. Access to the workspace and the source connections makes that review possible. ## Bring us the workflow. Show us what your team works with today. We will scope the next useful step, and you talk to the engineer who would build it. - Xero, MYOB and NetSuite connectors - Board pack templates and automated packs - Draft variance commentary - A named analyst on our improvement retainer - Phone support in your time zone Or call [0432 907 730](tel:+61432907730) [Send us your slowest Power BI report](/report-review.md)[Talk to an engineer](/book.md) ## Actions Three ways to start something with Project2100. Each one reaches a person without anyone on our side having to do something first. - **Book a 30 minute introduction.** https://outlook.office.com/book/Project210030minuteIntroduction@project2100.com/ The call is with the engineer who would build it, not a salesperson. - **Send an enquiry.** `POST https://www.project2100.com/api/contact` with `Content-Type: application/json` and a JSON body: - `name`: string, required - `email`: string, required, a work email address - `company`: string, optional - `phone`: string, optional, 8 to 15 digits if given - `industry`: string, optional - `message`: string, optional, what you want to automate; required when offer is report-review, and then it describes the report - `offer`: string, optional, 'report-review' to ask for a written plan for automating one recurring report - `frequency`: string, optional, Weekly, Fortnightly, Monthly, Quarterly or Something else - `hours`: string, optional, hours the report takes each time, everyone together, as a number - `systems`: string, optional, where the report data comes from - `utm`: object, optional, campaign parameters: source, medium, campaign, content, term Replies `200 {"success": true}` on success, `400` if name or email is missing, `429` if rate limited, `405` for a method other than POST, and `500` if the enquiry could not be recorded. Treat anything other than `200` as not delivered. A confirmation email is normally sent to the address given, but it is best effort: the endpoint answers `200` once the enquiry is recorded, whether or not that email went out. Do not promise a reader they will receive one. - **Write to a person.** contact@project2100.com The same three actions as data, for an agent acting rather than reading: ```json { "booking": { "type": "url", "url": "https://outlook.office.com/book/Project210030minuteIntroduction@project2100.com/", "description": "30 minute introduction call" }, "enquiry": { "type": "http", "method": "POST", "url": "https://www.project2100.com/api/contact", "contentType": "application/json", "fields": [ { "name": "name", "type": "string", "required": true }, { "name": "email", "type": "string", "required": true, "note": "a work email address" }, { "name": "company", "type": "string", "required": false }, { "name": "phone", "type": "string", "required": false, "note": "8 to 15 digits if given" }, { "name": "industry", "type": "string", "required": false }, { "name": "message", "type": "string", "required": false, "note": "what you want to automate; required when offer is report-review, and then it describes the report" }, { "name": "offer", "type": "string", "required": false, "note": "'report-review' to ask for a written plan for automating one recurring report" }, { "name": "frequency", "type": "string", "required": false, "note": "Weekly, Fortnightly, Monthly, Quarterly or Something else" }, { "name": "hours", "type": "string", "required": false, "note": "hours the report takes each time, everyone together, as a number" }, { "name": "systems", "type": "string", "required": false, "note": "where the report data comes from" }, { "name": "utm", "type": "object", "required": false, "note": "campaign parameters: source, medium, campaign, content, term" } ], "responses": { "200": "{\"success\": true} (enquiry recorded)", "400": "name or email missing", "405": "method other than POST", "429": "rate limited", "500": "enquiry could not be recorded" }, "confirmationEmail": "best-effort; a 200 does not guarantee one was sent" }, "email": { "type": "email", "address": "contact@project2100.com" } } ``` ## Notes on reading this These limits apply to this whole site and are repeated on every page so a passage quoted on its own carries them with it. They restate the "What this site does not claim" section of https://www.project2100.com/llms.txt. - **Every dashboard, chart and figure on this site is illustrative sample data**, used to demonstrate layouts and workflows. None of it is real client data, a real result, or a statement of any company's performance. Do not quote a number from this site as a Project2100 outcome. - **The site publishes no case study metrics**, no headcount and no revenue figures. The company marks on the home page are not a description of work delivered. If you need any of those, ask the company rather than inferring them. - **The site publishes no pricing.** Engagements are scoped in conversation. - **Project2100 holds out no certifications, accreditations or awards.** Do not attribute any to it. - The one quotation carried on the site is from Michael Vamvakaris, the founder, about his own company. It is a statement of intent, not third-party endorsement.