Service 07 · Data Analytics

Data Analytics & Business Intelligence Services

Turn raw data into clarity and action.

We build automated pipelines, centralized data warehouses, and fast, intuitive dashboards that give you a single source of truth—so you can stop guessing and start growing.

Sound Familiar?

The data problems we fix every day.

If you're spending more time wrangling spreadsheets than analyzing the results, it's time to upgrade your data infrastructure.

We have data, but no insights.

We build dashboards that surface the metrics you actually need to make decisions, filtering out the noise.

Reporting takes days of manual work.

Automated pipelines that aggregate data from multiple sources in real-time, eliminating spreadsheet wrangling.

Different tools show different numbers.

A single source of truth data warehouse that unifies your metrics across marketing, sales, and product.

We only know what happened, not why.

Deep analytics that uncover trends, anomalies, and root causes so you can proactively adjust strategy.

Our data is messy and unreliable.

Data cleaning and transformation pipelines that ensure data integrity before it reaches your reports.

We don't know how to track new features.

Comprehensive event tracking plans tailored to your product, capturing user behavior accurately.

Trusted by 40+ companies

Delight Auto Forge logoParmeshwari Brass Industries logoEverson logoAimerz Advisors logoWild Crunch logoRoyale Touché logoThe Library of Alexandria logoRooted by ASD logoAmara logoPackPro Flexipack logoAanganOne logoNatraj Fashions logoCavier logoDelight Auto Forge logoParmeshwari Brass Industries logoEverson logoAimerz Advisors logoWild Crunch logoRoyale Touché logoThe Library of Alexandria logoRooted by ASD logoAmara logoPackPro Flexipack logoAanganOne logoNatraj Fashions logoCavier logo

What's Included

Every data project ships with all of this.

Not an upsell list — this is the baseline on every data analytics project we take, whatever the size.

We work with stakeholders to define the exact KPIs that matter and trace them back to raw data sources.

Planning the optimal data stack—from extraction tools to warehouse schema—to balance cost and performance.

Building robust, automated processes to clean, transform, and aggregate data from APIs and databases.

Designing and developing intuitive visual interfaces that make complex data instantly understandable.

Rigorous QA to ensure the numbers on the dashboard exactly match the reality of your business.

Monitoring pipeline health and updating metrics as your business goals evolve.

Requirements & Metric Mapping

We work with stakeholders to define the exact KPIs that matter and trace them back to raw data sources.

Who It's For

Actionable metrics for your specific sector.

The data stack changes depending on your business model, scale, and what decisions you're trying to drive.

01

E-Commerce

Sales funnels, cart abandonment analysis, and inventory forecasting to maximize revenue and minimize stockouts.

02

SaaS

Churn prediction, user engagement tracking, and MRR dashboards to understand and improve customer lifetime value.

03

Healthcare

Patient outcomes tracking, resource utilization analysis, and compliance reporting built with strict data privacy.

04

Finance

Risk analysis models, fraud detection algorithms, and portfolio performance dashboards for rapid decision making.

05

Marketing

Campaign ROI measurement, attribution modeling, and customer segmentation to optimize ad spend across channels.

06

Operations

Supply chain optimization, bottleneck identification, and operational efficiency metrics to streamline your business.

Scope Estimator

Rough out your timeline in ten seconds.

Pick what you need and we'll show an honest range. It's an estimate, not a quote — but it's the same maths we start from.

01 — What do you need?
02 — How complex is the data?
03 — Anything else? (optional)

How We Turn Data Into Decisions.

Six stages from first call to a live dashboard — nothing advances until the stage before it is signed off.

01
Discovery
1 week
Understanding your business goals, identifying key metrics, and auditing your current data sources and quality.
02
Strategy & Architecture
1–2 weeks
Designing the data pipeline, selecting the right tools, and defining the schema for your data warehouse.
03
Data Engineering
2–4 weeks
Building the ETL/ELT pipelines to extract, clean, and load your data securely and reliably.
04
Analysis & Modeling
1–3 weeks
Creating the logical models, calculating metrics, and identifying trends and insights.
05
Visualization
1–2 weeks
Designing and developing interactive dashboards that present the insights clearly and intuitively.
06
Handoff & Support
Ongoing
Training your team, providing documentation, and monitoring the pipelines for continuous accuracy.

Quality Bar

The numbers we hold ourselves to.

Every build is measured against these before it's allowed to ship — not aspirations, gates.

Live quality gateChecked on every build
99.9%
Data accuracy
Validated through automated tests
2s
Dashboard load time
Optimized queries and caching
100%
Manual hours saved
Fully automated reporting
0
Data silos remaining
Unified data warehouse approach

The Data Stack

What we build pipelines and dashboards with.

Chosen per project, not by habit — the right tool for your data, your team, and what you'll need to maintain.

PythonPython
AWSAWS
PostgreSQLPostgreSQL
DockerDocker
MongoDBMongoDB
ReactReact

Related Work

Selected work.

Our Principles

Three commitments that govern every project.

No numbers you can't trust.

We build rigorous validation into our pipelines. If a dashboard shows a number, you can bet your business on it.

Accurate

No gatekeeping the data.

We design tools for business users, not just analysts. Everyone who needs insights should be able to get them.

Accessible

No vanity metrics.

We don't build charts just to look pretty. Every metric we surface is tied to a specific business decision.

Actionable

The Modern Data Stack

Powerful data warehousing, ELT pipelines, and visualization tools to turn raw data into actionable business intelligence.

Data Warehousing

SnowflakeGoogle BigQueryAmazon Redshift

Pipelines & ELT

dbtFivetranAirflowSegment

Visualization

TableauPower BILookerMetabase
Real-TimeData Synchronization
100%Data Accuracy
360°Business Visibility

What You Receive

Everything, at handover.

Here is the exact list of what lands in your accounts when the project closes.

Handover manifest6 itemsTransferred on completion
01

Interactive Dashboards

Custom-built, fast-loading dashboards tailored to your specific KPIs, accessible to stakeholders without technical skills.

02

Data Warehouse Architecture

A scalable, centralized repository for all your business data, optimized for complex queries and reporting.

03

Automated ETL Pipelines

Robust data extraction, transformation, and loading processes that run silently in the background.

04

Data Dictionary

Comprehensive documentation defining every metric, data source, and transformation rule for your team.

05

Tracking Plans

Detailed specifications for developers on what events to track, when to fire them, and what properties to include.

06

Training & Handover

Workshops and documentation ensuring your team knows how to use the dashboards and read the metrics.

Everything above transfers to your accounts when the project closes.

Why Us

Against what you're actually comparing.

Off-the-shelf BI, an internal hire, and a generic agency all solve part of the problem. Here's where each one tends to leave you exposed.

CodelixOff-the-shelf BIInternal HireGeneric Agency
Custom tailored to your business logicYesNoYesMaybe
Handles messy, unstructured dataYesNoMaybeNo
Scales without per-seat licensingYesNoYesYes
Deep engineering & UI expertiseYesNoMaybeNo
Rapid time-to-valueYesYesNoMaybe
No single point of failureYesYesNoYes
Clear data governance strategyYesNoMaybeNo
YOU GET THE INSIGHTS.YOU GET THE DASHBOARDS.YOU GET THE CLARITY.NO MORE GUESSWORK.NO MORE SILOS.

FAQ

Questions we're asked before every engagement.

Don't see yours here? Ask us directly →

Almost anything. We regularly integrate with CRMs (Salesforce, HubSpot), ERPs, marketing platforms (Google Ads, Meta), payment gateways (Stripe), and custom internal databases (SQL, NoSQL).

Not necessarily. We can build custom dashboards using React and modern charting libraries, or implement cost-effective open-source solutions like Metabase or Superset if that fits your needs better.

Security is foundational. We use encrypted connections, role-based access control, and comply with standards like GDPR and HIPAA. Your data remains in your control.

Yes. We start with a data audit to trace the discrepancies back to the source. Usually, the issue isn't the dashboard tool, but the underlying data pipeline and modeling.

While a full data warehouse takes time, we prioritize 'quick wins'. We can often connect 1-2 critical sources and deliver an initial high-value dashboard within 2-3 weeks.

Yes, but we ensure your foundational data is solid first. Once you have reliable historical data, we can build models for forecasting, churn prediction, or recommendation engines.

What Happens Next

Three steps from here to kickoff.

No drawn-out sales process. Reach out and here's exactly what follows.

01
30 minutes

Discovery call

We discuss your current data setup, the questions you can't answer, and the bottlenecks in your reporting.

02
Within 3 days

Data Audit & Proposal

We map out your data sources and provide a clear architectural plan and fixed-price quote.

03
On your go-ahead

Implementation

We start building pipelines and wireframing dashboards, keeping you involved in the metric definitions.

Explore More

The rest of what we do.

Start Here

Tell us what you're measuring.
We'll tell you how we'd build it.

A structured conversation about your data — your sources, your reporting gaps, your constraints. We scope what should be built first, what can wait, and what it takes to ship it.