Data Analytics Services

You have data in five different systems. None of them talk to each other. Nobody in the business can answer a basic question without spending a day pulling it together.

Your ops team is running on two-week-old spreadsheets. Your engineers spend 30% of their week writing one-off SQL reports because no one built a proper analytics layer. You hired a data analyst six months ago and they're still waiting for clean data to analyse.
We build data analytics systems that fix this. Pipelines that pull from every source you use, a warehouse that stores it cleanly, and dashboards your team can actually open on Monday morning and trust. Most projects complete in 6–10 weeks.

See our work

Data from multiple sources unified into one analytics layer
Dashboards your ops team can actually use — not demos they forgot how to run
6–10 weeks from scattered data to working analytics

Recent outcomes

Voice AI · Research

Text-based interviews converted to automated phone calls

6× deeper insights

AI Automation · Ops

Manual invoice OCR across 40+ gas stations

20k+ txns day one

Loyalty · Retail

SuperValu & Centra loyalty platform with receipt validation

1,062 users in 4 weeks

SaaS · Logistics

Multi-carrier shipping hub for Indonesian eCommerce

2,000+ shipments yr 1

4.9 / 5 on ClutchSee all work

Recognition

Sound familiar?

Your data lives in five different systems and no one can see the full picture without spending a day pulling it together?
Your engineers spend half their week writing SQL reports that someone could've built once and automated?
You hired a data analyst but they're still waiting for clean data to analyse six months later?

In short

RaftLabs provides data analytics services for businesses whose data is scattered across multiple systems. We build the full stack: ETL pipelines, data warehouse, and dashboards your ops team can trust. Clients including Aldi and Vodafone have used RaftLabs to unify data from CRMs, ERPs, and custom databases into a single analytics layer. Most projects complete in 6--10 weeks at a fixed price.

Trusted by

RaftLabs provides data analytics services for businesses whose data lives in too many places to be useful. We've built analytics systems for clients including Aldi and Vodafone, connecting CRMs, ERPs, databases, and APIs into a single layer that ops teams can actually open on a Monday morning and trust. We're a tech studio, not a BI consultancy that hands you a slide deck and leaves. One team builds the pipelines, configures the warehouse, and delivers dashboards your finance, ops, and product teams use daily.

Most businesses have more data than they know what to do with. What they don't have is a single place where it all makes sense. The CRM tracks leads but not revenue. The ERP has revenue but not fulfilment time. The ops spreadsheet has fulfilment time but it's two weeks old and was assembled manually by someone on a Friday afternoon.

We fix the data layer first — pipelines, warehouse, data model — then build the dashboards and reporting on top. In that order.

What business question can't your team answer right now because the data isn't there?

Tell us your data situation and what decisions it's blocking. We'll scope the analytics system that fixes it.

Talk about your analytics project

Related services

What clients say

What clients say about working with us

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Niccolo Pescetelli

Co-founder & Director, PSi

Working with RaftLabs felt like having an extension of our own team. They're extremely nimble and responsive, adapting quickly to changing startup needs. I highly recommend them, especially for small and mid-sized companies.

01 / 14

Recent work

Projects that started like yours

AI phone agents conducting automated voice interviews at global scale

We rebuilt a text-based AI interview platform as a voice-first system that conducts automated phone interviews globally, removing user friction and surfacing richer insights through natural conversations.

Read case study

AI Phone Agent To Conduct Voice Interviews at Scale

Multi-carrier shipping SaaS: 2,000+ shipments across 70+ countries in year one

We developed a multi-carrier shipping SaaS solution in Indonesia, helping fast-growing eCommerce businesses ship globally with ease. Integrated with Shopify, it offers instant Aramex, FedEx, DHL, and UPS rate comparisons, automated fulfilment, and end-to-end shipment management.

Read case study

Gas Station Management Software Case Study

AI-powered OCR scaling gas station operations to 20k+ daily transactions

This purpose-built gas station inventory management software uses AI-based OCR to automate invoice processing and unify inventory, sales, and vendor tracking. Designed for scale, it gives owners real-time control across 40+ locations, without disrupting existing POS systems.

Read case study

Loyalty · Retail

SuperValu and Centra needed a loyalty platform. We shipped one that acquired 1,000+ users in 4 weeks.

We built an AI-powered loyalty platform for Musgrave's SuperValu and Centra that automates receipt validation with 99.9% accuracy, acquiring 1,062 users in 4 weeks.

Read case study

See all projects

Frequently asked questions

: A focused analytics engagement — connecting 2–3 data sources, building a warehouse layer, and delivering a dashboard — typically runs $15,000–$30,000. A full analytics system covering multiple data sources, custom ETL pipelines, data quality monitoring, and multiple dashboards for different teams runs $30,000–$60,000. The final scope depends on the number of source systems, the complexity of your data model, and how many dashboards you need. RaftLabs scopes every project at a fixed price after an initial assessment of your data sources and reporting requirements.
: We connect any system with an accessible data layer. Common sources we work with: CRMs (Salesforce, HubSpot, Pipedrive), ERPs (NetSuite, SAP), e-commerce platforms (Shopify, WooCommerce), databases (PostgreSQL, MySQL, MSSQL, MongoDB), REST APIs (any SaaS tool with an API), spreadsheets and CSVs, Google Analytics and GA4, payment platforms (Stripe), and data lakes in S3 or GCS. If you have a source that isn't on this list, tell us what you're working with and we'll assess it.
: Both. The pipeline is the foundation — without clean, reliable data flowing into one place, a dashboard is just a lie in a chart. RaftLabs builds the pipeline first, validates data quality, then builds the dashboards on top. Skipping the pipeline and bolting dashboards directly onto production databases is a pattern we see fail regularly. We don't do it.
: Metabase, Looker, Power BI, Tableau, Grafana, and custom React dashboards with Recharts or D3.js. For most businesses, Metabase is the default starting point — it's open source, accessible to non-technical users, and works well for operational dashboards. Power BI is the right choice for teams already in the Microsoft ecosystem. Custom React dashboards make sense when the analytics need to live inside your product rather than in a standalone tool. We recommend the tool that fits your team's technical capacity and your infrastructure, not the one with the highest margin for us.
: No. Most clients come to RaftLabs without one. Part of our work is selecting and configuring the right warehouse for your data volume and query patterns. We work with BigQuery, Snowflake, Redshift, and Postgres depending on your scale and cloud provider. If you already have a warehouse, we assess what's there and build on it where it's sound. If it has structural issues, we tell you before we start building anything on top of it.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Data Analytics Services | RaftLabs in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.