Automated reporting, sharp analysis and dashboards your team can maintain.

I connect fragmented data, answer the questions in it and automate the reporting your team repeats every month, from Power BI dashboards to Power Automate flows inside your Microsoft 365. You work directly with me, from scope to handover.

Fixed-price packages, with agreed deliverables and review points.

gus@ghostavo.com · 0481 870 222 · ABN 20 611 702 297

Avo on ghost

Data engineering and migration: Cleaning, validation, pipelines, warehouses and migration
Analysis and evaluation: Forecasting, segmentation, and evaluation of campaigns and service changes
Research and surveys: Survey data and open-text answers coded and analysed at scale
Reporting and dashboards: Power BI, Tableau, Looker Studio and D3, built to WCAG 2.1 AA
Automation and Microsoft 365: Power Automate, Power Apps and SharePoint flows that take the manual steps out of reporting and approvals

Work I've delivered

Three examples, then every organisation I've done data work for.

Forecasting and scenarios

A revenue forecast Afterpay could test plans against

A revenue forecast, plus a scenario tool so the team could change the assumptions and see the effect themselves.

Afterpay, at AKQA Media (WPP), 2020 to 2022

Integrated reporting

Six ad platforms, one warehouse, reports in one run

A pipeline that loads six ad platforms into one warehouse, an operator dashboard the campaign team uses daily, and 73 of 74 campaign reports assembled in a single run.

Retail media network of a national specialty retailer, 2025 to now

Survey research

6,000 open answers sorted into seven themes

Open-text answers from a national opinion survey, coded into seven themes with AI assistance, then counted and reported. Part of 7,400+ survey answers coded across clients.

At The Media Precinct, 2022 to 2025

Figure 1. Organisations I've done data work for, by sector and type of work delivered

Swipe sideways to see the whole chart.

Hover or tap a logo for what was built and where. Built in my roles at AKQA Media, The Media Precinct and a national retail media network, and for Square on contract through Alchemy One in 2023. Logos belong to their owners.

Examples built from public data

Each one started as files nobody wants to open.

Figure 2

Sydney petrol swung from 150c to 260c a litre in a year.

Median U91 price across about 750 Sydney stations, every day. Merged from 12 monthly files in three different layouts: 133,246 price changes.

Source: NSW FuelCheck price history, Data.NSW, CC BY-SA. Note 2.

Figure 3

NSW power costs almost four times more at 6pm than at 10am.

Average wholesale price by hour, October 2025 to September 2026. 105,120 five-minute prices, and 9.5% of them were below zero.

Source: AEMO aggregated price and demand data. Note 3.

Figure 4

Defence bought 37% of Commonwealth dashboard and BI work.

Dashboard, BI and reporting builds, October 2023 to October 2026: A$33.1M across 48 agencies.

Source: AusTender contract notices. Note 1.

Who supplies dashboard and reporting work to the Commonwealth

A procurement analysis from public data: every dashboard, BI and reporting contract published on AusTender since October 2023, grouped by supplier. The contracts mix one-off builds, ongoing reporting services and labour hire paid by time, so they are not like-for-like with a fixed-scope package. Hover a dot for the supplier.

Figure 5. Who supplies dashboard and BI work to the Commonwealth, by contract size and length

Swipe sideways to see the whole chart.

Figure 5 as a table

Supplier	Type	Contracts	Typical value	Typical length	Total

Each dot is a supplier: its median contract value and length. 131 contracts, 98 suppliers, 16 Oct 2023 to 20 Oct 2026. Individuals are not named. Method in note 1.

Prices

Fixed per package. Each is a defined scope: the data it assumes, what you receive, a review at the working version, and acceptance criteria agreed before work starts. Start with the free prototype: your own published data, working, before you spend anything.

Table 1. Packages, in A$

Package	What you get	Time	Paid	Price
Free prototype	A working, unofficial prototype built from your published data. It stays private, carries no agency logo, and comes down when you ask.	Before you buy	Never	No charge
Discovery and scope	The questions, KPI definitions, data sources and acceptance criteria, signed off before I build anything. Comes off the build price.	1 week	On delivery	6,000
Accessibility check and fix	An existing dashboard tested against WCAG 2.1 AA, then fixed.	1 to 2 weeks	On delivery	5,000 to 9,000
Single dashboard	One data source, one dashboard, refreshed on schedule.	1 to 2 weeks	On handover	8,000 to 10,000
Statistics to dashboard	Your PDFs and spreadsheets rebuilt as an interactive dashboard, with the source on every chart.	2 to 3 weeks	On handover	12,000 to 18,000
Analysis, evaluation or survey study	One question answered on your data: a forecast, a segmentation, an evaluation of a campaign or service change against a baseline, or analysis of survey data you already hold. A written report with a method note your team can check.	3 to 5 weeks	On delivery	15,000 to 30,000
Reporting pipeline	Data pulled, cleaned, checked and loaded on a schedule, feeding a live dashboard. Priced by the number of sources.	4 to 6 weeks	Half at the working version, half on handover	28,000 to 45,000
Run and support	Monitoring of scheduled refreshes, fixes to anything I built, and changes: up to one day a month at A$1,500, up to two days at A$3,000. Issues acknowledged within one business day.	Monthly	Monthly in arrears	1,500 to 3,000

Time runs from the signed-off scope to handover, handover included. Discovery, when a project needs it, is the separate one-week package. Prices exclude GST. Work outside the packages is A$1,600 a day for scoping, design and analysis, and A$1,200 a day for the build.

How this meets the usual evaluation criteria

Copy any row into your value-for-money note. Where a row says commitment, it is a term written into the scope; every other row links to something you can check now.

Table 2. Criteria, response and evidence

Criterion	Response	Evidence you can check
Relevant experience	Forecasting, automated reporting (73 of 74 campaign reports in one run) and survey coding, delivered for named organisations in finance, retail, health and the non-profit sector.	Three cases and Figure 1, Table 3
Value for money	A fixed price per package, published up front. A written scope with acceptance criteria, a review at every working version, and payment only on delivery or handover.	Prices and payment terms in Table 1
Speed	AI-assisted build, so you get a working link in week one, then a new one every week.	Commitment, written into the scope as review points
Accessibility	Built and tested to WCAG 2.1 AA. The test method and results come with the handover.	Test of this site: method and results
Data location and security	I work inside your tenant or cloud account, and your data stays there. No agency data goes into an AI service without written approval.	Commitment, written into the scope. Capability statement, risk management
Source attribution	Every figure names its source, and any number can be followed back to the raw row it came from.	One number traced from file to chart, the script
IP and handover	You own what is built for you: code, data and documents. Open-source libraries keep their own licences. Handover includes a runbook and a session with whoever maintains it.	Sample runbook
Procurement pathway	Prequalified on the NSW ICT Services Scheme (SCM0020) for M01, M02 and M05. NSW agencies can also engage a small business directly up to A$250k excluding GST, including where a scheme applies. Commonwealth agencies can buy from SMEs directly under exemption 17.	buy.nsw supplier profile, PBD-2023-03, CPR appendix
Business details	Sole trader, ABN 20 611 702 297. Professional indemnity A$2M and public liability A$10M on every contract.	Insurance certificates at contract start

Gus Dantas, smiling, in a dark corduroy shirt

Who does the work

Me, Gus Dantas. A decade of data analysis, the last eight years in Sydney across two media agencies and a retail media network, for clients in finance, retail, consumer goods, health and the non-profit sector. It started with research in data analysis during a degree in mechatronics engineering, then a master's in applied IT.

You deal with the person who builds it, from the first call to the handover.

Table 3. Track record: the role I held and what I built in each.

Period	Where	Clients	What I built
2025 to now	Retail media network of a national specialty retailer, Data & Analytics Lead	The retailer and its supplier brands	A reporting pipeline from six ad platforms into one warehouse, an operator dashboard used daily, and incrementality measurement. 73 of 74 campaign reports built in one run.
2022 to 2025	The Media Precinct, Head of Analytics	Cerebral Palsy Alliance, Dementia Australia, Royal Flying Doctor Service, Animals Australia, Learning Links, St Andrew's Cathedral School, Camilla and Marc, Fella Hamilton, Blue Illusion, Sheike, Jojoba Company	A creative performance dashboard used across clients, customer lifetime value analysis, marketing mix models, and AI-assisted coding of 7,400+ open survey answers.
2020 to 2022	AKQA Media (WPP), Senior Data Analyst. Then Essence, after the merger	Afterpay, Aussie Home Loans, Officeworks, Nestlé, Purina	A revenue forecast and scenario tool for Afterpay. Segmentation and a refinancing forecast for Aussie Home Loans. Cart-abandonment clustering for Officeworks. Weekly creative reporting for Nestlé and Purina.
2018 to 2020	Switched On, Data Analyst	Agency clients	Client dashboards and reporting in Tableau and SQL.

Capability statement

2 pages, PDF. Download it or read it online.

Send me the dashboard or publication you'd change.

I'll reply with what I'd change, and build you a free prototype from your public data.

Email: gus@ghostavo.com
Phone: 0481 870 222
ABN: 20 611 702 297
LinkedIn: gus-dantas

AusTender contract notices published 16 Oct 2023 to 20 Oct 2026, read from the public OCDS API. Figure 5 keeps the 131 contracts whose description names dashboards, BI, reporting, visualisation, Tableau or Qlik, including labour hire for those roles. Figure 4 keeps the builds only. Amendments are merged. Typical value and length are medians.
FuelCheck monthly price history files, October 2025 to September 2026. Sydney means postcodes 2000 to 2234 and 2740 to 2786. Each day takes every station's latest U91 price and the median across stations.
AEMO price and demand files for the NSW1 region, October 2025 to September 2026. Each five-minute price is assigned to the hour it starts in, then averaged.