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Business Intelligence & Analytics

Business Intelligence and Analytics Agency for Systems

Most businesses have plenty of data but lack the infrastructure to use it. Voxturr builds the pipelines, dashboards, and models that turn raw data into real-time intelligence your teams actually act on.

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The Real Challenge

The Challenge Is What Happens After You Collect The Data

In 2026, almost every business generates more data than it can act on. The gap is connection, interpretation, and activation. Data that lives in separate systems and gets compiled into a spreadsheet once a week is reporting. It is archaeology.

  • Marketing, sales, finance, product, and operations data unified into a single intelligence layer
  • Actionable insight surfaces in real time, faster than any weekly spreadsheet compile
  • The right response triggers automatically, or through a dashboard any team member can read on their own
Analyst reviewing connected business dashboards on a desktop
Real-time data flowing across a global network
Team acting on a live analytics dashboard together
The 2026 BI Maturity Curve

What BI And Analytics Looks Like In 2026

Descriptive reporting is the floor, not the ceiling. The companies pulling ahead are operating with predictive and prescriptive intelligence. Here is the maturity curve, and where most of our engagements sit.

Descriptive Analytics: What Happened

Level 1

The foundation. Accurate, connected reporting across channels and departments so leadership has a single, reliable view of performance without spending time compiling it. For most businesses, getting this right is the most impactful thing they can do with data. We connect every source, marketing platforms, CRM, finance systems, ecommerce, product databases, into clean, real-time dashboards any stakeholder can access.

Descriptive Analytics: What Happened
What We Build

Every Layer Of The Analytics Stack, Service By Service

From the data pipelines underneath to the AI models on top, here is the full scope of what we build.

Data Infrastructure and Pipeline Architecture
Data Infrastructure and Pipeline Architecture

Clean data starts with a reliable pipeline. We design and build pipelines that extract, transform, and load data into the warehouse using BigQuery, Snowflake, Redshift, and modern ELT tools.

BI Dashboard Design and Development
BI Dashboard Design and Development

A dashboard earns its place when people actually open it. We design executive, operational, and financial dashboards on Power BI, Looker, Tableau, and Metabase, built around real decisions.

Marketing Analytics and Attribution
Marketing Analytics and Attribution

Marketing generates more data than any function can track manually. We build multi-touch attribution and connect marketing performance to CRM and revenue, with full GA4 measurement architecture included.

Product and App Analytics
Product and App Analytics

User behaviour tells you where onboarding breaks down. We implement Mixpanel, Amplitude, and Heap, configure funnels and cohorts, and build dashboards that helped Happily Health cut CPI to ₹0.50.

Sales and Revenue Analytics
Sales and Revenue Analytics

Pipeline velocity and win rates reveal where deals stall. We build rep-level dashboards, forecast models, and territory analysis that give sales leadership real, data-backed resource decisions.

Financial Analytics and Reporting
Financial Analytics and Reporting

Finance leadership deserves a live view every day of the month. We build P&L dashboards, cash flow monitoring, and margin analysis, integrating multiple financial systems into one clear picture.

Customer and Cohort Analytics
Customer and Cohort Analytics

Every customer carries a different lifetime value. We build cohort analysis, LTV modelling, churn prediction, and health scoring that give customer success and product teams real insight.

Real-Time Operational Dashboards
Real-Time Operational Dashboards

Operations teams need visibility measured in seconds. We build live dashboards for order volumes, SLAs, and inventory that surface exceptions instantly and support faster action.

Self-Serve Analytics and Data Democratisation
Self-Serve Analytics and Data Democratisation

A mature analytics programme lets every team answer its own questions. We build semantic layers and governed data models that let business users explore data independently and confidently.

Analytics Audit and Stack Optimisation
Analytics Audit and Stack Optimisation

Existing analytics deserves a clear-eyed review. We audit data quality, tracking accuracy, and dashboard utilisation, then deliver a prioritised roadmap starting with the highest-impact opportunities.

Data Without Infrastructure Is Just Noise

The distance between “we have data” and “we have intelligence” is a properly architected pipeline, a clean warehouse, and dashboards built around the decisions your teams actually make. That is the distance we close.

See How We Work
The Tools We Work With

The Full Modern Analytics Stack

We are tool-agnostic. The recommendation is based on your data volume, your team, and the analytical use cases your business requires.

Data Warehouses we work with
How We Work

The Analytics Build Process, Start To Finish

A structured process that starts with the decisions you need to make and builds backward from there to the data infrastructure that supports them.

01.

Analytics Audit and Requirements Discovery

We understand what decisions the business needs to make, what data exists, where it lives, and the gap between what is currently reportable and what leadership actually needs. For existing infrastructure, this includes a technical audit of tracking, pipeline health, and dashboard utilisation.

02.

Data Architecture Design

We design the architecture: source systems, pipeline topology, warehouse schema, and the semantic layer between raw data and business-facing dashboards. Reviewed and approved before build begins, ensuring the infrastructure matches the data volume, team size, and analytical use cases.

03.

Pipeline Build and Data Integration

We build the pipelines that move data from every source system into the central warehouse, clean, transformed, and consistently structured. Off-the-shelf connectors where they exist, custom integrations where required.

04.

Dashboard and Report Development

Built against the data model, designed for the specific audience and decision context of each view. Every dashboard goes through a review cycle with the business stakeholder before deployment, ensuring it answers the questions it was built for.

05.

Training and Self-Serve Enablement

We train teams on how to use, interpret, and extend the dashboards. Where self-serve is in scope, we build the governed data environment and train business users to explore independently.

06.

Ongoing Monitoring and Evolution

New data sources, changing business questions, model drift, and tracking implementations that break when the product changes. We provide ongoing support to keep the infrastructure accurate, relevant, and aligned with how the business is evolving.

Why Voxturr

Why Companies Choose Voxturr For BI And Analytics

What separates full-stack, decision-oriented analytics from a dashboard somebody built and nobody uses.

Traditional Agency

Scope Often limited to dashboards or a single tool
Business Orientation Technical output without business context
Modern Stack Legacy tools and outdated methodologies
Self-Serve Capability Centralised reporting that creates analyst bottlenecks
AI Integration Descriptive reporting only
Cross-Functional Single-function analytics in isolation

With Voxturr

Scope Full stack: data infrastructure, pipelines, BI, dashboards, product analytics, AI-assisted insight
Business Orientation Every dashboard built around specific business decisions, designed for the stakeholder who reads it
Modern Stack BigQuery, Snowflake, dbt, Looker, Mixpanel, Segment, AI/ML integration
Self-Serve Capability Governed data environments that enable business users to answer their own questions
AI Integration Predictive models, anomaly detection, AI-assisted insight surfacing built into the analytics layer
Cross-Functional Marketing, sales, finance, product, operations, unified in one intelligence layer
Who We Build Analytics For

Built For The Companies Where Data Should Be Driving Decisions

From product-led SaaS companies to enterprise teams replacing spreadsheet-based reporting with real infrastructure.

SaaS and Product Companies

Product analytics, user behaviour analysis, funnel optimisation, feature adoption measurement, and churn prediction. The data that drives product decisions and growth experiments.

Ecommerce and D2C Brands

Marketing attribution, customer LTV and cohort analysis, channel performance reporting, inventory analytics, and real-time revenue dashboards across D2C and marketplace channels.

Fintech and Financial Services

Revenue analytics, compliance reporting, risk model monitoring, customer health scoring, and financial performance dashboards built to the accuracy standards financial services requires.

Healthcare and Healthtech

Patient or user behaviour analytics, clinical outcome measurement, operational efficiency dashboards, and implementations that meet data privacy and compliance requirements.

Enterprise and Mid-Market

Cross-functional BI that connects finance, sales, marketing, operations, and HR data into a unified reporting environment, replacing the spreadsheet-based reporting that currently occupies someone’s Monday morning.

Growth-Stage Teams

If your decisions should be driven by data and currently are driven by instinct, we build the infrastructure that closes the gap, at whatever scale and budget your stage requires.

Frequently Asked Questions

1 What is the difference between business intelligence and business analytics?

Business intelligence is the infrastructure and reporting layer: the pipelines, warehouses, and dashboards that make data visible and accessible. Business analytics is the interpretation layer: analysis, modelling, and insight generation that answers the why behind what the data shows. Most organisations need both, built in sequence. We build both.

2 We already have dashboards in HubSpot and Google Analytics. Why do we need more?

Platform-native dashboards are useful within their domain, but they cannot connect data across systems, answer cross-functional questions, or provide the unified view leadership needs for strategic decisions. The gap between “we have dashboards” and “we have intelligence” is the gap between single-system reporting and a properly architected BI layer that connects everything.

3 How long does it take to build a BI infrastructure?

A basic unified reporting dashboard connecting two or three source systems can be live in two to four weeks. A full cross-functional BI infrastructure with custom data pipelines, predictive models, and self-serve capability is typically a two to four month build, delivered iteratively with the highest-value dashboards deployed first.

4 Do you work with our existing tools or replace them?

We work with your existing tools where they are the right fit, and recommend changes where they are holding you back. Our first step is always an audit of what you have. We do not replace tools for the sake of it. The goal is a stack that does the job, suited to your data volume, team, and use cases.

5 Can you add AI or predictive analytics to our existing dashboards?

Yes. Predictive models for churn, lead scoring, revenue forecasting, and demand prediction can be built on top of your existing data and integrated into the dashboards your teams already use. The prerequisite is clean, well-structured historical data, which the audit will assess.

6 What does an analytics audit involve?

We review your current tracking implementations for accuracy and completeness, assess pipeline health, evaluate dashboard utilisation and whether existing reports answer the questions they were designed for, and identify the highest-priority gaps. The output is a prioritised roadmap with clear recommendations and expected impact for each.

7 How do we get started?

Book a Free Analytics Audit. We will review your current data infrastructure, understand the business decisions you need to make, and give you a clear picture of what is possible, in what sequence, and what the business impact looks like.

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Build An Intelligence Layer That Gives Every Team The Data They Need, When They Need It

The gap between businesses that grow compounding and businesses that plateau is often whether the people making decisions have accurate, timely, connected data, or whether they are working from last week’s export. Voxturr closes that gap. Tell us what decisions you need to make. We will show you how to make them with data.

Project Inquiries

contact@voxturr.com

Call Us

+1 (415) 513 0045

Our Offices

USA

71 Stevenson St, San Francisco, CA 94105, United States

India

427, TowerB3, Spaze iTech Park, Sohna Road, Sector 49, Gurugram, Haryana – 122002

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