Business Intelligence & Data Analytics

Service Overview

Data that cannot be accessed, understood, and acted upon is not an asset — it's a liability. Most organisations have more data than they can effectively use, fragmented across CRMs, ERPs, marketing platforms, and product databases with no unified view of what the business is actually doing. Techglock's BI practice unifies those fragmented sources into a coherent, governed data warehouse and builds the reporting and analytics layer that makes data genuinely accessible to decision-makers at every level of the organisation.

Modern Data Stack Architecture: We implement modern data stack architectures built around best-in-class component technologies — Fivetran or Airbyte for data ingestion, dbt for transformation and data modelling, Snowflake or BigQuery for warehousing, and Looker or Power BI for the presentation layer. This composable architecture gives you the flexibility to swap individual components as your data maturity evolves without rebuilding your entire stack.

From Descriptive to Predictive: Dashboards that show what happened last month are a starting point, not a destination. We build analytics capabilities that answer more valuable questions: which customers are likely to churn next quarter, which products have the highest margin expansion potential, and which marketing channels are delivering attributable revenue rather than vanity metrics.

Business Intelligence & Data Analytics in action

In Production

Delivering enterprise-grade Business Intelligence & Data Analytics across 15+ industries globally.

Key Features & Capabilities

Data Warehouse Architecture (Snowflake, BigQuery, Redshift)

Battle-tested implementation, validated under production load.

ETL / ELT Pipeline Development with dbt & Airbyte

Optimised for sub-second response and high-throughput workloads.

Interactive Executive & Operational Dashboard Design

Security-first design with built-in audit trails and access control.

KPI Framework, OKR Tracking & Goal Alignment

Configurable to your operational workflows without code changes.

Predictive Revenue & Churn Analytics

Instrumented from day one — every interaction surfaces in dashboards.

Marketing Attribution & Customer Lifetime Value Modelling

Engineered for scale: queues, caching, and horizontal partitioning.

Real-Time Data Streaming (Apache Kafka)

Clean architecture with isolated concerns and explicit contracts.

Self-Service BI Enablement & Data Literacy Training

Maintainable code: typed, tested, and documented for your team.

Our Delivery Process

01

Discovery & Scoping

Understand your requirements, define deliverables, agree on success metrics and project timeline.

02

Design & Architecture

Prototype the solution architecture, design data flows, and validate approach with your technical team.

03

Agile Development

Two-week development sprints with working deliverables every iteration and continuous stakeholder review.

04

Quality Assurance

Automated testing, manual QA, security review, and performance benchmarking before every release.

05

Deployment & Launch

Production deployment with zero-downtime strategy, monitoring setup, and post-launch support.

06

Ongoing Optimisation

Performance reviews, feature iterations, and SLA-backed support to keep your solution evolving.

Technology Stack

We select tools based on your requirements, not trends. Our engineers are fluent across the full modern stack.

Python dbt Snowflake BigQuery Apache Kafka Looker Power BI Tableau Fivetran Airbyte

Industries We Serve

This service has been deployed for clients across a wide range of regulated and high-growth industries.

Technology & SaaS Financial Services Healthcare E-Commerce & Retail Education Logistics Real Estate Government

Frequently Asked Questions

The questions clients ask most often before kicking off a business intelligence & data analytics engagement.

How long does a business intelligence & data analytics engagement take?

Most business intelligence & data analytics projects ship within 8–14 weeks. Typical timeline: 1 week for discovery and scoping, 1–2 weeks for solution design, 4–8 weeks of agile delivery sprints, and 1–2 weeks for QA, security review, and go-live. We give you a fixed timeline before any work starts — no surprises three months in.

How much does business intelligence & data analytics cost with Techglock?

Pricing depends on scope, but most business intelligence & data analytics engagements land between $15,000 and $80,000 depending on complexity, integrations, and team size. We offer both fixed-price and time-and-materials models. Every quote breaks down per-deliverable so you can scale up or scale back before committing.

Do you sign NDAs before discussing the project?

Yes — request a mutual NDA when you book the discovery call and we send it within the hour. We have signed thousands of NDAs across regulated industries (healthcare, finance, defence) and never had a confidentiality dispute.

What does your business intelligence & data analytics team look like?

Every engagement gets a dedicated squad: a senior tech lead, 2–4 engineers, a project manager, and (where relevant) a designer or DevOps engineer. No offshore handoffs, no junior-only teams, no rotating staff. The people you meet on day one are the people who ship the project.

What happens after the Business Intelligence & Data Analytics project launches?

Every engagement includes 30 days of free hypercare (bug fixes, performance tuning, user-feedback iteration). Beyond that, we offer monthly retainers from $1,500/month covering monitoring, security patches, dependency updates, and a fixed pool of iteration hours. Roughly 80% of clients move onto a retainer after launch.

Who owns the code and IP we build together?

You do — completely. Once final invoice is settled, all source code, designs, infrastructure-as-code, and CI/CD pipelines transfer to your accounts. No vendor lock-in, no licensing fees on code we wrote, no hidden escrow.

Featured Case Studies

Live work our team has shipped — the same rigour and process we'd bring to your business intelligence & data analytics engagement.