Data Analytics
A data analytics company turns the numbers your business already has, in your CRM, ERP, spreadsheets and ad accounts, into reports and Power BI or Tableau dashboards people trust and act on. Our data analytics services run from Dhaka for international companies: pipelines, data models and dashboards, reconciled to source and checked by a QA lead.
One exit at each step. No long-term commitment at any of them. Our analysts map one business question with the people who ask it today. Every data source is listed, every gap and manual step is counted, and every route to an answer is costed in your own numbers.
You get a written verdict — a report, a dashboard, a data pipeline, or nothing yet.
Pilot analysis USD 1,200 · builds from USD 3,600
3 weeks to a written answer on one business question, from your own data
Your time zone Dhaka analysts and a QA lead, one weekly call, written change log
Stop at any step Diagnose ends with a written verdict; no production fee if the pilot fails
You own it Data model, dashboards, queries and runbook exported to your accounts
What is included in our data analytics services?
Our data analytics services include six deliverables: a written data map, a cleaned and documented data model, one dashboard or report pack in your own Power BI or Tableau account, a QA check against your source systems, a runbook with refresh and ownership notes, and a monthly review. You receive numbers you can defend, not a slide deck.
Data map and question list
Every source, owner, refresh rate and gap written down before any model is built.
Cleaned, documented data model
Tables and measures named, deduplicated and documented, so the next analyst understands them.
Dashboards in your own account
Power BI or Tableau, built inside your workspace and licences; nothing depends on ours.
QA against source systems
Every figure reconciled to the system it came from before you see it; differences logged.
Runbook and refresh ownership
Who refreshes what, how often, and what to do when a source changes.
Monthly review
One call a month on what the numbers say and what to change.
Not included: BI licences and cloud costs (in your name) · data entry or manual cleanup of paper records · work outside the agreed sources, priced first as a change.
Finance
Monthly P&L, cash and AR/AP reports from your ERP and bank feeds.
Sales & marketing
Pipeline, conversion and ad-spend dashboards from CRM and ad accounts.
Operations
Throughput, SLA and exception reports from ticketing and workflow tools.
HR & payroll
Headcount, cost and attendance analytics from HRIS and payroll exports.
How does data analytics work, from question to dashboard?
Data analytics with us runs in five steps: a free scoping call or a five-day diagnostic, a two-to-three-week pilot that answers one business question, a four-to-six-week production build of the pipeline, data model and dashboards, then optional Managed Ops after handover. Every step ends with a written result you can stop on.
Data analytics timeline with prices
| # | Step | Time | Price | What you get | Scope of this step |
|---|---|---|---|---|---|
| 01 | Scope | 30 min | Free | A call about the question you already have. If the sources are known, you leave with a pilot quote. | One call, no data touched |
| 02 | Diagnose | 5 days | USD 99, credited to the pilot | Sources, access and gaps reviewed; a written verdict: report, dashboard, pipeline or nothing yet. | Up to 3 sources reviewed, no build |
| 03 | Pilot | 2–3 weeks | USD 1,200 fixed | One business question answered from your own data, with a report, a reproducible query set and a go/no-go note for production. | 1–2 sources · 1 question · 1 report |
| 04 | Production | 4–6 weeks | from USD 3,600, quoted after the pilot | Pipeline, documented data model and dashboards in your Power BI or Tableau account, every figure reconciled to source, runbook and training, 30 days of free fixes. | Up to 3 sources · up to 3 dashboard pages; more is quoted first |
| 05 | Managed Ops | Monthly · optional | USD 999 per month | Refresh checks, new questions, a monthly report pack and one review call. Cancel any month; everything stays in your accounts. | Up to 3 reports a month |
Prefer a dedicated analyst instead? USD 3,000 a month, three-month minimum
How long does a first data analytics pilot take?
A first pilot usually delivers its written answer in three weeks: a five-day diagnostic, then two to three weeks to connect one or two sources, build the model and answer the question with numbers you can check. A full production build with pipelines and dashboards takes four to six weeks more. Prices are on our pricing page.
Team Analysts, a data engineer and a QA lead in Dhaka
Tools Power BI, Tableau, SQL, Python
Communication Weekly call, shared channel, change log
Sources CRM, ERP, spreadsheets, ad accounts via connectors or API
QA Every figure reconciled to source
Hosting Your workspace, your licences
Do you need a report, a dashboard or a data pipeline?
Not every data analytics question needs a dashboard. A question asked once needs a report; a question a team asks every week needs a dashboard; data that must be cleaned or joined from four or more systems needs a pipeline before either. Answer five questions and the verdict shows which one fits, with an example of what you would receive.
1. How often is the answer needed?
2. How many data sources?
3. Does the data need cleaning first?
4. Who uses the answer?
5. Rows per month?
A dashboard
Asked weekly or daily by a team: a production build with a documented model in your Power BI or Tableau workspace.
Sample QA log · monthly revenue report
1
Source pulledCRM: 4,812 closed deals, September
2
Reconciled to ERP0.3% variance flagged, 3 deals
3
Model refreshedCurrency and fiscal calendar applied
4
QA sign-offQA lead approved · 2 fixes logged
5
Report sent12 pages · every figure traced to source
Illustrative log
Yellow = a person decides
Every figure traced to source
Every step logged
How the verdict is decided: needed once with one or two sources → a report · needed monthly or daily by a team → a dashboard · four or more sources or heavy cleaning → a pipeline first · one user, one clean source, under 10k rows → a spreadsheet, not us.
Why choose us as your data analytics company?
Reconciled to source. Documented for the next analyst. Yours after handover.
A data analytics company builds and runs the reports and dashboards a business decides with. We reconcile every figure to its source system, keep a QA lead on every delivery and write a runbook for every data model, because the usual failure in outsourced analytics is not the chart but the number behind it: unchecked, undocumented and impossible to reproduce.
Without a checked process
!!!!!
- A dashboard that looks right and is wrong by 8%
- A model only the freelancer understood
- Dashboards hosted on the vendor’s account
- Hourly quotes that grow with every new source
With EICRA
QA sign-off
Figures checked142Variances3Fixed3Signed byQA lead
Illustrative example
- Every figure reconciled to its source before delivery
- Documented model and runbook; a second analyst can reproduce it
- Built in your workspace and licences from day one
- Fixed prices per step; new sources priced first as a change
What proof do you get before you pay for data analytics?
Before you pay for data analytics, you get evidence instead of promises: sourced market data, a pilot that answers one of your own questions from your own data, and a free 30-minute review of one report. Client case studies with numbers are added here as clients give permission to name them.
USD 132,785 Average US salary of a Power BI developer, before benefits and overhead. Source: Glassdoor, cited by Kore BPO
USD 150–400/hr What senior Power BI consultants charge in the US; UK senior rates run £120–280 an hour. Source: Numlytics
40–60% Typical saving when data analytics is outsourced rather than built in-house, according to an outsourcing provider’s ranking of analytics firms. Source: Vidi Corp (vendor figure)
Case studies: client results with numbers are added here as clients give permission to name them. Ask on the scoping call for references in your industry.
Free 30-minute report review Send one report or dashboard you do not trust. You get a written note on what is wrong, what it would take to fix, and whether it is worth fixing, whether or not you hire us.
Is it safe to outsource data analytics?
Outsourcing data analytics is safe when access, transfer and ownership are settled in writing before any data moves. We work inside your Power BI or Tableau workspace with read-only source access, sign a data processing agreement before personal data is touched, and hand over every data model and dashboard so nothing depends on us. Reviewed By eicra.com team
Which data analytics agreements are signed, and when?
NDA — mutual, signed before any data or dashboard is shared.
DPA — processor terms under Article 28(3) of the GDPR and the UK GDPR, for any personal data.
Data transfers — EU standard contractual clauses, the UK IDTA or Addendum, or Singapore PDPA transfer clauses, signed before personal data moves.
Access — read-only connections to source systems where possible; credentials held in your accounts.
Certifications — listed only when held; none are claimed on this page.
What data analytics controls, IP and rework terms apply?
Workspace Dashboards and models built in your Power BI or Tableau tenant, never ours.
Reconciliation Every delivered figure traced to its source; variances logged with a reason.
QA sign-off A QA lead approves every delivery before you see it.
Ownership Models, dashboards, queries and runbook are yours under the contract; our access removed at handover.
Rework Free when a delivered figure fails reconciliation; new sources priced first as a change request.
What do buyers ask a data analytics company about cost, timing and tools?
How much does this cost?
How much do data analytics services cost?
Our data analytics services are fixed-price: a pilot that answers one business question is USD 1,200 and takes two to three weeks; a production build with pipeline, data model and dashboards starts at USD 3,600 and is quoted in writing after the pilot; Managed Ops is USD 999 a month for up to three reports. Prices are in US dollars.
What does a data analytics company do?
A data analytics company collects the data a business already produces, cleans and models it, and delivers reports and dashboards that answer specific questions: revenue by product, cost per hire, cash by week. The good ones also document the model and reconcile every figure to its source, so the numbers survive the analyst leaving.
Should we outsource data analytics or hire in-house?
Hire in-house when you need daily analytics from someone who sits with the business. Outsource when you need reports and dashboards built well and maintained without a hire: a US Power BI developer averages USD 132,785 a year before benefits, and our production build starts at USD 3,600 with a QA lead included.
Do you build in Power BI or Tableau?
We build in Power BI or Tableau, whichever your team already licenses, with SQL and Python for pipelines and modelling. The choice is made on your existing licences, your data sources and who will maintain the dashboards after handover, and it is written into the runbook you receive.
Is this data analytics consulting or delivery?
Data analytics consulting tells you what to build; our data analytics services build it. Every engagement ends with a working report, dashboard or pipeline in your account, reconciled and documented, not a recommendation deck. If a question only needs advice, the five-day diagnostic says so and no production build is proposed.
Start with a free 30-minute scoping call or the five-day diagnostic. You leave with a written verdict from a data analytics company — report, dashboard, pipeline or nothing yet — whether or not you hire us.