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Data Analytics and Dashboards for Better Decisions

See your sales, leads, stock and cash in one live dashboard, instead of waiting for month-end reports.

500+ projects by our parent team11+ years experienceMohali, Punjab based
SI Company

Last updated: 08 October 2026 ยท Reviewed by Kamal Dev, CEO & Co-Founder, Shivah Web Tech

What are data analytics services and how do dashboards help a small business?

Data analytics services collect data from your billing software, CRM, sheets and ad accounts, clean it and show it in simple live dashboards. Owners and managers see sales, leads, stock and pending payments every day instead of waiting for month-end reports. This helps you spot problems early and decide with real numbers.

Key takeaways

  • Your data already exists; it is just spread across many tools.
  • Pick 5 to 10 key numbers (KPIs) before building any chart.
  • Looker Studio suits Google-based teams; Power BI suits Microsoft and larger data.
  • Clean, timely data entry matters more than fancy charts.
  • Dashboards can refresh on their own and open on mobile.
  • Cost depends on sources, data quality and refresh needs; you get a clear quote after a free call.

What are data analytics services?

Data analytics services turn scattered business data into clear numbers you can act on. We bring data together, clean it and show it in simple dashboards and reports.

Your data is already there: in your billing software, CRM, Google Sheets, ads accounts and website. The problem is that it is spread across many places, in different formats. Someone in the office spends hours each week joining it in Excel, and by the time the report is ready, the numbers are old.

Dashboard: A single screen that shows your most important numbers as charts and tables, updated automatically.
KPI (Key Performance Indicator): A number that shows whether an important goal is on track, such as daily collections or cost per lead.
MIS report: A Management Information System report, the regular summary that managers in Indian companies use to review performance.

What dashboards and reports do we build?

We build dashboards for owners, sales, marketing and operations, plus automated reports sent to email or WhatsApp.

Owner dashboard

Daily sales, collections, pending payments and top products on one screen.

Sales dashboard

Leads by source, conversion by salesperson and pipeline value.

Marketing dashboard

Ad spend, cost per lead and return from Google and Meta ads.

Operations dashboard

Orders, delivery time, stock levels and delays.

Finance view

Receivables ageing, GST-wise sales and expense trends.

Branch comparison

Same numbers side by side for every branch or store.

Data cleanup

Remove duplicates and fix formats so reports are correct.

Automated reports

Daily or weekly reports sent to email or WhatsApp.

Which data analytics tool is right: Looker Studio, Power BI or custom?

Looker Studio is a good free start for Google-based teams. Power BI suits larger data and Microsoft users. A custom dashboard suits numbers that live inside your own software.

ToolBest forGood pointsLimits
Google Looker StudioSmall teams using Google Sheets, Google Ads and GA4Free to use, easy sharing, many Google connectorsCan slow down with very large data
Microsoft Power BILarger data and Microsoft-based companiesStrong data modelling, works with Excel and SQLSharing usually needs paid licences
Custom dashboardsDashboards inside your own software or CRMFits your exact screens and user rightsHigher build cost, needs upkeep

We recommend based on your tools, team size and budget. If your data sits in a CRM, a built-in report may already do part of the job.

How to pick the right numbers (KPIs)

Choose 5 to 10 numbers that drive your business, give each one an owner and a target, and build the dashboard around them.

A dashboard with 50 charts helps no one. We work with you to choose the key numbers, then build around them. We also add a short note on each chart explaining what it means and what action to take.

Business typeUseful KPIs
Trading or distributionDaily sales, collections, outstanding by party, stock days, top items
Service businessNew leads, conversion rate, jobs open, average closing time, repeat customers
EcommerceOrders, average order value, return rate, ad cost per order, stock-outs
Clinic or schoolAppointments or admissions, no-shows, fee collection, enquiries by source
Each KPI should answer one question, such as "Are we collecting payments on time?". If a chart does not lead to an action, remove it.

How we build a dashboard, step by step

We start with your questions, connect and clean the data, then build a first version and improve it with your team.

  1. 1

    List the questions

    Owners and managers tell us what they want to know every day, week and month.

  2. 2

    Find the data

    We check where each number lives: billing, CRM, sheets, ads or website.

  3. 3

    Connect the sources

    We link data sources directly, or through API integration when tools do not connect easily.

  4. 4

    Clean and model

    We fix duplicates, names, dates and units so totals match your books.

  5. 5

    Build the first version

    A simple dashboard with the key numbers, tested against known figures.

  6. 6

    Train and improve

    We show your team how to use filters, then add views based on real use.

Many teams also want regular reports without opening any dashboard. We set up scheduled summaries to email, and where suitable, short alerts on WhatsApp.

Why data cleaning matters

A dashboard is only as correct as the data behind it. Cleaning data is often the most important part of the work.

  • The same customer saved three ways, like "Sharma Traders", "Sharma Trd" and "sharma traders"
  • Dates in different formats across sheets
  • Products with different codes in billing and in the online store
  • Missing lead source, so marketing reports are wrong
  • Sales entered late, so daily numbers keep changing

We fix the existing data and, more importantly, the entry process, using dropdowns, required fields and simple business automation so mistakes do not return.

Planning a dashboard your team will use

A dashboard is only useful if people trust it and look at it. Good planning makes this happen.

What you need before building a dashboard

  1. A list of questions. For example: which lead source brings the most sales? Which product sells best each month?
  2. Access to your data. Billing software, CRM, Google Sheets, ads accounts or website data.
  3. One owner for each number. A person who checks that the data is correct.
  4. A review habit. Decide when you will look at the dashboard: daily, weekly or monthly.

Mistakes to avoid

Too many charts

A dashboard with 40 charts is hard to read. Start with a few key numbers.

Wrong or old data

If staff enter data late or wrongly, the dashboard will mislead you. Fix the entry process first.

No action

Numbers help only when someone acts on them. Link each number to a person and a goal.

Open access

Not everyone should see salary or margin data. Set user rights.

Who needs a business dashboard?

You need a dashboard when getting a simple answer, like today's sales or pending payments, takes phone calls or Excel work.

  • Owners who call branch managers every evening to ask for sales figures
  • Sales heads who cannot see which lead source or salesperson is converting
  • Businesses spending on Google or Meta ads without knowing the cost per sale
  • Distributors who find out about overdue payments only at month end
  • Teams preparing the same MIS report in Excel every week

If two or more of these sound familiar, a small owner dashboard is a sensible first step. It also pairs well with AI business solutions later, when you want short written summaries of your numbers.

How much do data analytics services cost and how long do they take?

The cost of data analytics services depends on the number of data sources, how clean the data is, how often it must refresh and how many dashboards you need. You get a clear quote after a free call.

Data sources

Each extra tool adds connection and testing work.

Data quality

Messy data needs more cleanup before charts are correct.

Refresh speed

Near real-time updates need more setup than daily refresh.

Tool licences

Looker Studio is free; Power BI sharing usually needs paid licences.

Number of views

Owner, sales and branch views each add design work.

Timeline: a first dashboard with a few key numbers can often be ready in a short time. More data sources and detailed reports take longer. We usually start small and add more views after your team starts using it. If your data will move to new servers, see cloud solutions.

Frequently Asked Questions

Do we need a data team to use dashboards?

No. We design dashboards that anyone can read, with clear labels and a short note on each chart. We also train your managers on how to use filters, compare periods and read trends. Most owners start checking their dashboard on their phone within the first week.

Can dashboards update automatically?

Yes. We connect your data sources so dashboards refresh on their own, from every few minutes to once a day, depending on the tool and your needs. Some older software only allows exports, in which case we set up a scheduled export and upload so the dashboard still updates without manual work.

Can we see dashboards on mobile?

Yes. Most dashboards we build can be opened on a phone, so owners can check numbers from anywhere. We keep the mobile view simple, with the most important numbers at the top. Daily summaries can also be sent by email or WhatsApp for people who prefer not to open a dashboard.

Can you add AI to our reports?

Yes. Where it helps, AI can write a short summary of the week's numbers in plain language or point out unusual changes, such as a sudden drop in sales from one branch. A person should still review these notes. You can read more on our AI business solutions page.

Which is better for a small business, Power BI or Looker Studio?

For many small businesses that already use Google Sheets, Google Ads and GA4, Looker Studio is a good free starting point. Power BI is stronger for large data, complex models and companies using Microsoft tools, but sharing usually needs paid licences. We suggest one after seeing your data and team.

Can you build dashboards from Tally data?

Yes, in most cases. Tally data can be pulled through its XML interface, a connector tool or scheduled exports. We then build views for sales, outstanding payments, GST-wise sales and stock. We check your Tally version and setup first to choose the most reliable method.

Is our business data safe in a dashboard?

Yes, with the right setup. We give each user access only to the views they need, use your own company accounts for the tools, and avoid public sharing links. Sensitive numbers like margins or salaries can be kept in a separate view only for the owner or finance team.

How much do data analytics services cost in India?

There is no fixed price, as every business has different data. Cost depends on the number of data sources, how much cleanup is needed, the refresh speed, the tool licences and the number of dashboards. Starting with one owner dashboard keeps the first cost low. You get a clear quote after a free call.

Talk to our team today

Call or WhatsApp +91 76588 80958. We reply fast, Monday to Friday.