Data Analytics
Most small and mid-sized businesses have more data than they know what to do with — spread across spreadsheets, CRMs, accounting systems, and marketing platforms. We consolidate it, clean it, model it, and surface the insights that drive decisions. Whether you need a one-time analysis, a recurring reporting pipeline, or a predictive model for churn or demand, we deliver structured outputs your team can actually use.
At a glance
Estimated cost
$2,500 – $18,000
fixed project price
Typical timeline
4–10 weeks
Deliverables
7
included in standard scope
Cost saving vs West
50–70%
Pakistan-based delivery
What you get
Deliverables
Everything included in a standard engagement. Scope is agreed upfront — no surprises.
- Data audit report (sources, quality, gaps)
- Cleaned and unified dataset or data warehouse
- Automated reporting pipeline (weekly/monthly)
- Visualised insights (charts, tables, trend analysis)
- Predictive model (where applicable) with accuracy metrics
- Documentation of methodology and assumptions
- Recommendations report with actionable next steps
How it works
Our process
Structured delivery means you know what happens at every stage — before we start.
- 01
Data Audit
We inventory every data source, assess quality, identify gaps, and flag what can be trusted vs. what needs cleaning.
- 02
Question Definition
We work with you to define the business questions the analysis must answer. Analysis without questions produces noise.
- 03
Pipeline & Modelling
We build the extraction, transformation, and loading pipeline and apply the appropriate modelling techniques.
- 04
Insight Synthesis
We translate statistical outputs into plain-language insights that non-technical stakeholders can act on.
- 05
Handover
We deliver the model, pipeline, documentation, and a written recommendations report.
Budget & timing
Investment & timeline
Pakistan-based delivery at a fraction of Western agency rates. Transparent pricing, no retainer traps.
$2,500 — $18,000
per project
One-time analysis: USD 2,500–5,000. Recurring pipeline setup: USD 7,000–18,000.
4–10 weeks
estimated delivery
One-time analysis: 3–4 weeks. Pipeline and model build: 6–10 weeks.
Tools & technologies
What we build with
We pick the right tool for the job — no forced frameworks.
Who we work with
Industries we serve with this service
E-Commerce
Online retail businesses selling physical or digital products — from single-brand Shopify stores to multi-vendor marketplaces and D2C brands scaling to 7+ figures.
See how we help →Healthcare
Private clinics, specialist practices, allied health providers, telehealth platforms, and health-tech startups — digitising clinical and administrative workflows while navigating data compliance requirements.
See how we help →Logistics & Supply Chain
Freight forwarders, 3PLs, courier companies, warehouse operators, and supply chain technology providers — managing complex, time-sensitive operations across multiple locations and partners.
See how we help →Education
Private schools, tutoring companies, online course creators, EdTech startups, and vocational training providers — building and scaling digital learning experiences and administrative systems.
See how we help →Construction & Trades
Builders, subcontractors, project managers, civil engineering firms, and construction tech startups — digitising site operations, project tracking, and subcontractor coordination.
See how we help →Legal
Law firms, barristers' chambers, legal tech startups, and in-house legal teams — modernising document-heavy, process-intensive operations while meeting strict confidentiality requirements.
See how we help →Who delivers this
Need a dedicated person instead?
Data Analyst
A data analyst who translates messy business data into clear dashboards, automated reports, and the answers your team actually needs to make decisions.
Hire dedicated →AI Engineer
An engineer who builds production AI systems — not demos. LLM integrations, RAG pipelines, classification models, and intelligent automation that runs reliably in the real world.
Hire dedicated →Hire a Dedicated Data Engineer from Pakistan
A dedicated data engineer who designs and maintains the pipelines, warehouses, and transformation layers that turn raw operational data into a reliable, queryable asset for analysts, dashboards, and AI systems.
Hire dedicated →Commonly paired with
Related services
Business Dashboards
Custom operational and analytics dashboards that surface the numbers that matter — built on your real data, not generic templates.
AI Automation
Automate repetitive business processes using AI — document processing, lead qualification, customer support triage, data extraction, and workflow triggers.
LLM Integration
Embed large language model capabilities directly into your product or workflow — RAG systems, AI assistants, structured data extraction, and intelligent search.
API Integration
Connect your business systems, automate data flows, and eliminate manual data entry. Xero, Stripe, HubSpot, Salesforce, Zapier, and bespoke REST or GraphQL APIs.
Frequently asked questions
Common questions about Data Analytics.
We connect to any source with an API or export: PostgreSQL, MySQL, BigQuery, Supabase, Google Sheets, Xero, Salesforce, HubSpot, Shopify, WooCommerce, Google Analytics 4, Facebook Ads, and more. If it has an API or can export to CSV, we can work with it.
Not necessarily. For early-stage analysis, we can query your operational databases directly or work from exports. A data warehouse (BigQuery, Snowflake, Redshift) becomes worthwhile when: (a) your reporting queries are slowing down production databases, (b) you need to join data from 3+ different sources routinely, or (c) your data volume exceeds what Google Sheets can handle. We will advise based on your actual situation.
Accuracy depends on data quality, data volume, and the predictability of what you are trying to forecast. We always deliver accuracy metrics alongside the model so you understand what you are working with — and we build human review workflows into any process where model errors have serious consequences. We do not deploy models we cannot measure.
Ready to start your Data Analytics project?
Send us your requirements. We'll clarify the scope, timeline, and cost — no obligation.