Custom Business Dashboards for Noida Businesses
Picture a mobile accessories maker with a plant near NSEZ. Production figures sit in one spreadsheet, dispatch in another, sales in an accounting export, and the owner asks for a weekly summary that takes someone a full day to prepare. Noida reported about 11,000 industrial units as of August 2025, and many such units run on exactly this patchwork, as do IT firms in Sector 62 and retailers in Sector 18. A custom dashboard pulls these sources into one screen with agreed definitions. The data exists; what is missing is one trusted place where it lines up. PC Media House is based in Delhi and handles the work online for businesses in Noida, with calls and meetings by appointment.
Relevant for businesses around: NSEZ, Sector 62, Sector 18, Sector 38A, Noida Electronic City, Sector 137, Sector 145, Sector 128.
Why Noida Businesses Look for Business Dashboards
Noida's economy is varied enough that no off-the-shelf dashboard fits everyone. Electronics and mobile manufacturers watch output, rejection and dispatch. IT and outsourcing firms track utilisation, billing and attrition. Retail and food businesses in the Sector 18 and Sector 38A malls look at footfall-linked sales and stock by outlet. Education institutes follow enquiries and admissions. We define each metric in writing first, connect and clean the data, and build in a tool that suits your size, such as Looker Studio or Power BI, with access rules by role. Cost is a custom quote after a data audit. Where data comes from many hands, we also agree who updates what and when, so the numbers stay current.
What Is Included in Custom Business Dashboards
- A discovery session that turns vague questions into a short list of decisions the dashboard must support
- A written metric dictionary that defines every figure, its source, its formula and its owner
- Connections to your data sources, such as Google Sheets, Excel and CSV files, CRM, website analytics, ad accounts and databases
- Data cleaning and modelling so that dates, names, categories and currencies line up across sources
- A dashboard built in Looker Studio, Power BI or another agreed tool, designed for your daily and weekly routine
- Access rules that decide who can see which numbers, set up with the sensitivity of the data in mind
- A validation round where dashboard totals are reconciled against your own records before sign-off
- Handover training and a short guide, with maintenance and change support available after launch
Pricing and Fees for Business Dashboards
Dashboard pricing is a custom quote. There is no honest flat rate, because the work depends on how many data sources you have, how clean they are, what integrations are needed, which platform you choose and how complex the logic is.
| Item | Amount | Notes |
|---|---|---|
| PC Media House build fee | Custom quote | Set after the data audit, based on data sources, integrations, platform and complexity, and written into a scoped proposal |
| Looker Studio | Google describes it as a no-cost tool | Some partner or community connectors may charge; BigQuery queries can carry usage charges |
| Power BI Pro | ₹1,165 per user per month, billed yearly, GST extra, at the time of writing | Needed by each person who publishes or shares reports in Microsoft's model; verify the current price on Microsoft's site |
| Power BI Premium Per User | ₹1,995 per user per month, billed yearly, GST extra, at the time of writing | Larger models and more frequent refresh; not needed by every business |
| Maintenance and changes | Quoted separately | Covers refresh monitoring, fixes after source changes and new views |
| GST | Added where applicable | Shown as a separate line on the quote |
Software licence prices are set by Microsoft, Google and other vendors and can change. They are paid by you to the vendor and are not PC Media House fees.
What changes the cost or timeline:
- The number and type of data sources, since each source needs its own connection, cleaning and refresh logic
- Data quality, because inconsistent names, missing dates and duplicate entries must be corrected before numbers can be trusted
- Integrations that need custom work, such as pulling from a CRM through its API or combining several systems into one model
- The platform and number of users, which affects licence costs, security setup and how refresh schedules work
- Complexity of the logic, for example multi-currency, branch-wise targets, ageing buckets, cohort analysis or row-level access by user
How the Process Works Online
Step 1: Decisions and discovery
We list the decisions the dashboard should support, who will use it, how often, and what they use today. (Week 1)
Step 2: Data audit and metric dictionary
We inspect each data source for quality, access and refresh limits, then write down every metric's definition for your approval. (Week 1 to 2)
Step 3: Wireframe and tool choice
A simple sketch shows layout and filters. We recommend a tool based on users, data volume, refresh needs and licence cost. (Week 2)
Step 4: Data connection and modelling
Sources are connected, cleaned and joined into a reliable model, with refresh schedules set to match what the source allows. (Week 2 to 4)
Step 5: Build, validate and refine
The dashboard is built and checked against your own records. Differences are traced and fixed before anyone relies on it. (Week 3 to 5)
Step 6: Access, training and handover
We set permissions, train users, document refresh and ownership, and agree how changes and monitoring will work. (Final week)
A focused dashboard on two or three clean data sources can often be delivered in a few weeks, while multi-source or custom-integrated builds take longer, and the plan is confirmed after the data audit.
Local Notes for Noida
Dashboards need no government approval. What matters is data handling. If a dashboard shows customer or employee details, India's Digital Personal Data Protection Act, 2023 and its Rules apply, and the terms of tools such as Google, Microsoft and your CRM vendor apply too. We begin with a call and a review of the files and systems you already use, then send a scoped proposal. Training for your team is done on video calls.
Frequently Asked Questions (FAQs)
Usually yes. Spreadsheets and accounting exports are common sources. The first step is a data audit to see how consistent the files are and how they can be refreshed. Messy columns or manual entries are cleaned or standardised before any charts are built, because a dashboard is only as reliable as its inputs.
Most retailers begin with sales by outlet and product, stock levels, and discounts given. Once those are trusted, they add margins, repeat customers and staff-wise sales. We agree the definitions in writing, so a figure like net sales means the same thing to everyone reading the dashboard.
A focused dashboard on two or three clean sources can often be delivered in a few weeks. Multiple systems or custom integrations take longer. The timeline is confirmed after the data audit, because the state of the data usually matters more than the number of charts.
Yes. Access rules can restrict views by role, team or branch, so a branch manager sees only that branch while the owner sees everything. We set these rules during the build and explain how to change them. If personal data is shown, we also discuss minimising what is displayed.
Time depends on data sources, data quality and complexity, not on location. A focused dashboard with two or three clean sources can take a few weeks, while multi-source builds take longer. We confirm a realistic plan after the data audit, once we know what we are connecting to.
Yes. The work is carried out online from Delhi, so businesses across Delhi NCR can be served without travel. Discovery, data access, review sessions and training happen over calls and shared screens, and meetings can be arranged by appointment where a face-to-face walkthrough helps.