You know last month's revenue, and you still cannot say which work is worth making again

A single dashboard on unified sales data runs NZ$25,000 to NZ$40,000 over 6 to 9 weeks. A full model with cost attribution and true margin sits at NZ$40,000 to NZ$65,000. If your data already lives cleanly in one or two systems, Power BI or Looker Studio on existing exports is far better value.

Yes, if materials, skilled hours and firing energy are being recorded somewhere the model can reach. Margin per piece requires cost data at the piece level, which usually means the inventory or costing system has to exist first. Without it, the dashboard can only ever show revenue dressed up as insight.

Through a shared identifier applied at the piece level, so a settlement reported monthly by a gallery matches back to the specific object and its cost. Galleries typically report by PDF or spreadsheet, so expect a small import routine with human review rather than an API integration.

For a lot of businesses, yes. Power BI is capable and inexpensive per user, and if your sources are clean it will answer most questions. The custom argument is about the data model beneath it, so a common outcome is a custom pipeline feeding Power BI rather than a custom visual layer.

Return per hour of skilled time by product line. Skilled hours at the bench or the furnace are the constraint that never expands, so knowing which work returns most per hour changes what gets made next season. Revenue per product line flatters volume and hides the real decision.

Set the expectation deliberately. Daily refresh covers almost every decision a maker or grower actually makes, and real time reporting adds cost without changing outcomes. What matters more is that a failed refresh raises an alert rather than silently showing yesterday's figures as today's.

Only above roughly four source systems or when history needs preserving beyond what the sources retain. Below that, a lighter pipeline is cheaper and easier to maintain. Anyone proposing a warehouse before understanding your sources is selling architecture rather than answers.

Six to fourteen weeks to build, with the first two weeks spent agreeing definitions rather than writing code. Expect the first month of output to trigger corrections in source systems, which is the dashboard doing its job by exposing what was always wrong.

Yes, including the transformation logic and the written metric definitions. The model is more valuable than the charts, because it can be pointed at a different visualisation tool in a fortnight if you ever want to. Contract both the code and the definitions document as deliverables.

Digital Heroes builds custom business intelligence dashboards systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, so an operator in Whanganui gets an assigned senior team rather than a local account manager.

Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.

Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.

Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.

Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.

Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.