Data Analytics That Turns Raw Data Into Business Decisions

We build data pipelines, dashboards, and predictive models that help you make faster, smarter decisions. Not vanity metrics, but actionable intelligence your teams use every day.

The AI-Native Difference

Most companies are still drowning in data but starving for insights. We build analytics systems that don't just report what happened, but predict what's coming next.

Traditional Data Analytics

Spreadsheets emailed around the team

Critical business data lives in Excel files shared via email. No single source of truth, no version control, no real-time access.

Reports that take weeks to produce

Analysts manually pull data from multiple systems, clean it, and format reports. By the time they're ready, the data is already outdated.

Data siloed across departments

Sales, marketing, operations, and finance each maintain separate data stores with no connection between them.

Backward-looking reports only

Analytics tells you what already happened but offers no ability to forecast trends or predict what comes next.

Insights arrive too late to act on

Monthly and quarterly reporting cycles mean decision-makers see problems weeks after they started impacting the business.

Engineers Validated

AI-Native Analytics (How We Build)

Self-service dashboards with real-time data

Interactive Power BI and Tableau dashboards that anyone on the team can explore without waiting for an analyst to run a query.

Automated pipelines that refresh continuously

ETL/ELT pipelines pull data from all your sources, transform it, and load it into a unified warehouse on schedule or in real time.

Unified data warehouse across all sources

BigQuery, Snowflake, or PostgreSQL as your single source of truth. Every department sees the same numbers.

Predictive models that forecast what's coming next

Machine learning trained on your historical data to predict demand, churn, revenue trends, and operational risks before they happen.q

Alerts and anomaly detection that surface issues instantly

AI monitors your data streams 24/7 and notifies your team the moment something deviates from expected patterns.

Development Capabilities

Data Pipeline & Warehouse Design

Build automated ETL/ELT pipelines that pull data from all your sources into a unified warehouse. Clean, transformed, and ready for analysis in real time.

Business Intelligence Dashboards

Interactive Power BI and Tableau dashboards tailored to your KPIs. Role-based views for executives, managers, and operations teams with self-service drill-downs.

Predictive Analytics & ML Models

Forecast demand, detect anomalies, predict churn, and identify growth opportunities using machine learning trained on your historical data.

Data Strategy & Audit

Assess your current data maturity, identify gaps, and create a roadmap to become data-driven. We evaluate your tools, processes, and data quality.

Custom Analytics Applications

Purpose-built analytics tools when off-the-shelf dashboards aren't enough. Embedded analytics, customer-facing data products, and industry-specific reporting.

Data Governance & Quality

Implement data quality monitoring, access controls, lineage tracking, and compliance frameworks. Ensure your data is accurate, secure, and trustworthy.

Technology Stack

BI & Visualization

Languages & Libraries

Data Warehousing

Data Pipelines

AI & ML

Cloud

Our Work

E-Commerce / SaaS🇮🇳 India

Built demand forecasting, dynamic pricing and the QueryAI analytics bot for D2C brands

Aggregates sales and inventory data across marketplaces into one pipeline

Demand forecasting models that cut stockouts across brands

Dynamic pricing optimisation tuned to demand and competition

QueryAI — a conversational analytics bot for plain-language data questions

-30%

Stockouts across brands

+25%

Pricing accuracy

50%

Faster data-to-insight pipeline

View Case Study

Healthcare / Pharma🇸🇬 Singapore

Built the enterprise data layer connecting an ERP to an e-commerce marketplace

Xano data layer with REST endpoints and Redis caching between the ERP and the marketplace

GCP managed queue absorbs requests when the ERP is unavailable

Node.js compression service for the large JSON payloads pharma data produces

Per-file audit logging for a defensible pharma compliance posture

ERP ↔ Market

Live integration backbone

Queue-backed

Resilient to ERP downtime

Singapore

Region deployment (Xano + GCP)

View Case Study

Utilities / IoT🇮🇳 India

Built cloud-native smart metering infrastructure with SAP-integrated automated billing

Real-time ingestion of 1,500+ smart meters into a cloud-native backend

SAP integration for automated billing, replacing manual reconciliation

AWS + E2E workload split tuned for long-cycle cost-performance

Monitoring, alerting and runbooks holding 99.9% uptime

99.9%

Platform uptime

1,500+

Smart meters monitored

60%

Faster billing cycle

View Case Study

Manufacturing / Consumer Goods🇮🇳 India

Unified sales, finance and inventory on one platform with a distributor portal

One unified data model across sales, accounting and inventory

Distributor self-service portal for orders, validation and billing

Real-time dashboards for finance, operations and management

Legacy data migration consolidated from three fragmented systems

30%

Fewer reconciliation errors

Unified

Sales, finance & inventory

Self-service

Distributor order processing

View Case Study

Manufacturing sales and finance platform

Your team has AI tools. We can help them actually use them.

Talk to an Expert

Common Questions About AI Automation for Teams

What data analytics services do you offer?

We offer descriptive, diagnostic, predictive, and prescriptive analytics. This includes dashboard development, data pipeline automation, ML model building, and data strategy consulting.

What tools do you use for data analytics?

Power BI, Tableau, Python, R, SQL, BigQuery, Snowflake, and custom-built analytics applications depending on your needs and existing infrastructure.

How do you ensure data security?

We implement role-based access controls, data encryption at rest and in transit, and audit logging. Unico Connect is ISO 27001 and ISO 9001 certified, and we configure pipelines and warehouses to meet GDPR, HIPAA, and other regulated workload requirements based on your specific compliance needs.

Can you work with our existing data sources?

Yes. We connect to databases, APIs, SaaS tools, spreadsheets, and cloud storage. We build pipelines that unify data from all your sources into one place.

How long does a data analytics project take?

A basic dashboard takes 2-4 weeks. A full data warehouse with automated pipelines and predictive models typically takes 2-4 months depending on data complexity and the number of source systems we integrate.

Do you offer data visualization services?

Yes. We build interactive dashboards in Power BI and Tableau, and also build custom data visualization components for web applications when standard tools aren't enough.