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Data analytics companies · Technology

Show an operations head the dashboard they would use before they ask for a proposal.

A plant head at a Coimbatore pump manufacturer gets sales numbers from one Excel file, stock from Tally and complaints from a WhatsApp group. Every Monday the owner asks why one dealer's orders fell, and answering takes three people most of two days. The owner would pay to have it all on one screen, but only after seeing what that screen looks like.

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Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

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In one paragraph

Data analytics companies turn a client's sales, stock, finance or customer records into dashboards, reports and forecasts. Marketing shows buyers a finished use case in their own function. Sales moves from a small pilot to a continuing contract. GullySales prepares use-case pages, sample dashboards and follow-up for businesses unsure where to begin.

Analytics is hard to buy because the product does not exist until the work is done. A sample dashboard for a pump maker, with invented numbers, and a plain list of which data it would need, gives the plant head something to judge.

Last updated 18 Oct 2026.

How buyers decide

How data analytics companies are chosen.

Buyers start with a question, not a tool. Why are collections slow, which products lose money, which dealers are slipping, which customers will leave. A page or a sample that frames the question in the buyer's own function, such as sales, finance, operations or HR, speaks to a buyer in a way a list of Power BI, Tableau and Python does not.

The first project is small and the buyer wants a limit. A pilot on one function with data they already have, a named person on the client side and a clear point to stop is easier to approve than an open analytics programme. Expect the question of who will keep the dashboard updated and who will answer when a number looks wrong.

Data worries are real. The owner wants to know who will see the figures, where they will be stored, and whether the work depends on one analyst who may leave. A plain answer to each belongs on the page, ahead of any list of tools.

The problem

What usually goes wrong for data analytics companies.

What owners tell us on the first call, in their words.

  • “Buyers cannot picture what they would get”

    We talk about insights and dashboards, and the owner nods and says they will think about it.

  • “Our case studies are about tools”

    They list the stack and the size of the dataset, while the buyer wants to read about a question like their own being answered.

  • “Every prospect says their data is a mess”

    They may be right, and we have no way to show that cleaning it is part of the first project and not an excuse for delay.

  • “The sponsor changes after the pilot”

    The manager who asked for the dashboard moves on, and the new head sees it as someone else's project.

  • “We compete with the client's own Excel expert”

    A capable accountant or analyst inside the business says they can build it themselves, and for a while they can.

  • “Dashboards go unused after delivery”

    The first month is busy, then nobody opens the screen and the renewal is in doubt.

What we do

What we do for data analytics companies.

Everything included for data analytics companies.

  1. Pages by business question

    Pages for why collections are slow, which products lose money, which dealers are slipping and why customers leave, each with a description of the data needed and the screen that answers it.

  2. Sample dashboards with invented data

    A few clean dashboards for common functions, built on made-up numbers, that prospects can click through before talking to anyone.

  3. A pilot offer

    A written description of a first project on one function: the data used, the person needed on the client side, what is delivered and where it can stop.

  4. Data readiness note

    A plain document that explains what a business should have ready, what can be fixed along the way and what would pause the project.

  5. Adoption routine for clients

    A short plan for training the users, checking who opens the dashboards, and a conversation when usage drops.

  6. Question-led case stories

    Write-ups that begin with the question the client asked and end with the decision that changed, anonymised where needed and approved by the client in writing.

How the result is measured

  • Enquiries by business function
  • Sample dashboard views followed by an enquiry
  • Pilots proposed and pilots signed
  • Pilots that become continuing work
  • Dashboards still opened after delivery
  • Introductions from partners

Recorded as a baseline before work starts, so every later report has an honest comparison.

Every service, written for data analytics companies

Each has its own page: what it involves for data analytics companies, what you get, and what it is measured on.

Worth a page and a campaign of their own

Use-case pages by business function · Sample dashboards with invented figures · A small first project with a clear stopping point · Data readiness explained to the buyer · Adoption after delivery · Case stories framed by question · Handover so the client does not depend on one analyst · Plain data privacy answers

Priority campaigns

Campaigns for what data analytics companies most want to sell.

Each one planned around when your buyers decide, and measured against the baseline.

  • Searches for specific reports

    Pages and ads for dealer-wise sales reports, receivables ageing dashboards, stock movement analysis and churn analysis.

  • Accountant and ERP partner introductions

    Contact with accounting firms, Tally and ERP partners whose clients ask for reports the software cannot produce.

  • Industry association sessions

    A short talk with a worked example for a manufacturers' or distributors' association, showing one dashboard built from typical records.

  • Dashboard teardown posts

    Short posts that take a common dashboard mistake, such as too many charts or unclear definitions, and explain a better approach.

Beyond search

Where we reach buyers of data analytics companies, beyond Google.

Search matters, but it is rarely the only way this industry's buyers find a supplier.

  • Operations, sales and finance heads at mid-size firms

    Firms with several branches, plants or dealer networks have the most scattered records. Outreach to them takes one function, such as collections or dealer sales, and leaves the rest.

  • Owners of family businesses

    An owner who wants one view of dealers, stock and collections without learning a tool responds to plain language and one sample screen, not to a stack list.

  • Accountants and ERP resellers

    A Tally partner or accountant hears the same request from several clients: a report the software cannot produce. A short partner note is what that person needs at that moment.

  • Retail chains and distributors

    Slow-moving stock, store-wise sales and distributor-wise returns are the questions a seller with many outlets or many SKUs already asks, so the use cases begin there.

  • Industry associations

    Groups of manufacturers, distributors and exporters meet regularly and welcome a session with a sample dashboard built for their own trade.

Who it is for

This is written for these data analytics companies.

  • Business intelligence and dashboard consultancies
  • Sales and marketing analytics specialists
  • Retail and distribution analytics firms
  • Manufacturing and operations analytics providers
  • Finance and collections analytics specialists
  • Customer churn and segmentation analysts
  • Data engineering and warehouse build firms
  • Forecasting and demand planning specialists

Not for

It is not the right fit if.

  • You want a guaranteed Google ranking or a guaranteed number of leads. Nobody honest can promise either.
  • You need enquiries by next week and have nobody to answer them.
  • You want posts and reach reported, not enquiries and orders.

How it works

How the work runs for data analytics companies

The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.

  1. 1

    List the questions you answer best

    Past projects are reviewed for the business questions you resolve well, and the functions they sit in.

  2. 2

    Build sample dashboards on invented data

    Sample dashboards on invented data, with a page written around each question.

  3. 3

    Define the pilot

    The first project in plain terms: data needed, client contact, deliverable and stopping point.

  4. 4

    Find the right rooms

    Outreach goes first to partners, associations and searches where owners already ask these questions.

  5. 5

    Track usage and sponsors

    A record of who sponsored each project and who uses the output, so a second sponsor can be introduced before the first one moves on.

Where this fits

Three pieces of sales work, in this order.

GullySales builds every engagement from three pieces of sales work. This page is not one of them, but the same three steps apply to the business behind it.

  1. Step 1

    Sales audit

    Find where deals are being lost and what to fix first.

    Start here if you cannot say where orders are lost.

  2. Step 2

    Sales process design

    One written way to sell, from first enquiry to repeat order.

    Start here if every salesperson sells differently.

  3. Step 3

    Sales management

    A target, a review routine and someone who owns the number.

    Start here if the team has targets and no routine.

Tell us what you need Your brief is read before we call. Scope, fee and term in writing.

FAQ

Questions data analytics companies ask before they call.

Not here? More answers, or ask on WhatsApp.

Tell us what you need
Can you help if we have no big-name clients to show?
Yes. Sample dashboards and question-led stories stand in for big names. They are built from the work you have done, with client permission.
Should the page name Power BI, Tableau or Python?
Name them, but lower down. The buyer opens with collections or dealer sales, and the tool matters later, when a finance head asks who will maintain the file. Lead each page with the business question and list the tools under it.
Do you use real client data in samples?
No. Sample dashboards use invented figures, and any client data appears only if the client has agreed in writing and it has been anonymised.
We also build AI models. Should that be on the same page?
Keep them apart. Buyers of dashboards and buyers of models ask different questions, so it is cleaner to keep separate pages and link between them.
How do you handle a buyer who says an in-house Excel expert can do it?
We help you say so honestly. For a single report, they may be right. The pages explain where outside help pays off, such as combining sources and keeping the output alive.
How much does it cost?
There is no price list, because the work differs by business. The fee is scoped after we have read your brief and spoken to you, and put in writing before anything starts, split into our time, your media spend and production.
How long is the contract?
The term is agreed in writing after we have spoken, along with the fee and the reporting. It is never a default twelve months, and renewal is decided on the numbers against the baseline recorded at the start.
How soon will we see results?
Fixes to reply time, follow-up and your Google Business Profile are the quickest to show, because the enquiries already exist. Ads can follow soon after follow-up is in place. SEO and content take longer. How long each takes depends on your business, and we tell you which applies to you after we have spoken. Nothing here is guaranteed.
Who will actually do the work?
The person you speak to before anything starts. We work from one office in Nagarbhavi, Bengaluru, with no account managers in between.
What do you need from us?
To start, last month's enquiries in any format and time with whoever handles them. After that, access to the accounts the work touches, such as the website, Google Business Profile or CRM.

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