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Intelligence • Data & Business Intelligence

Data & Business IntelligenceTurn scattered operational data into business clarity.

Data warehousing, automated pipelines and BI dashboards that give leadership one reliable version of what the business actually did.

In short

What is Data & Business Intelligence?

Data and business intelligence (BI) is the practice of collecting a business’s data into one warehouse, cleaning it through automated pipelines and presenting it in dashboards leadership can trust. Lulonke designs the warehouse, ETL pipelines, metric definitions and BI dashboards so every team works from one version of what happened.

Reviewed by the Lulonke Solutions team

Best for
Construction, Professional Services, Healthcare & Membership Bodies
What it includes
Data warehouse & ETL pipelines, Custom BI dashboards, Automated reporting, Metric definitions & governance, Self-serve access
Where
Based in Johannesburg, working with businesses across South Africa
Data Warehousing & BI Architecture

Powered by Enterprise Analytical Warehouses & Visual Engines

Consolidating operational data lakes into governed semantic models that give executive leadership real-time commercial clarity.

Google BigQueryServerless Data Warehouse
SnowflakeElastic Data Cloud
PostgreSQLACID Relational Storage
Looker StudioEnterprise Dashboarding
TableauVisual Analytics & KPIs
Python ETL PipelinesData Transformation & Math
Supabase Data EngineRealtime Sync & Triggers
AWS Redshift & S3Cloud Data Lakes
Automated Hourly Data SyncSingle Source of TruthSOC2 / POPIA Compliant Architecture

The problem

What problems does Data & Business Intelligence solve?

Critical business data sits in disparate spreadsheets, legacy databases and isolated software. Leadership spends days assembling weekly reports that are already out of date by the time they are read, and two departments arrive at the same meeting with different numbers for the same thing.

What we do

What our Data & Business Intelligence service includes

Data warehouse & ETL pipelines

Centralise data from ERPs, CRMs, financial tools and databases into a single queryable warehouse.

Custom BI dashboards

Interactive Power BI, Tableau and Looker dashboards built around executive, financial and operational KPIs.

Automated reporting

Scheduled reporting delivered to decision-makers without anyone assembling a spreadsheet by hand.

Metric definitions & governance

Agree what each measure means, clean legacy records, and enforce access policies across the business.

Self-serve access

Give teams the ability to answer their own questions without queueing behind an analyst.

How it works

How we deliver Data & Business Intelligence, step by step

  1. 01Map the data architectureIdentify every source system, where data lives, and which measures leadership actually needs.
  2. 02Build the pipelinesEngineer reliable ETL/ELT to extract, transform and clean incoming data on a schedule.
  3. 03Engineer the dashboardsDesign around the decisions being made, not around what a platform exports by default.
  4. 04Validate and hand overAudit every metric against source ledgers, then train the team to run it themselves.

Proof

Where we have delivered Data & Business Intelligence

SafeFile

Digitising construction compliance.

A compliance platform for South African construction sites. Safety files structured to Construction Regulation 7, digitally signed Section 37(2) mandatary agreements, gate-badge verification and HIRA risk registers — in one workspace.

View Case Study

Investment & Scoping

Data & Business Intelligence pricing and timelines in South Africa

Category B • Consultative & Enterprise Architecture

Enterprise AI & Growth Intelligence Layer

We break down the silos between ad platforms, web telemetry, CRM deals, and bank receipts, deploying custom predictive machine learning and closed-loop revenue attribution.

Scoped via Diagnostic Audit (Typically R65,000 – R220,000 initial architecture)

Key Cost Drivers

Source Count & Pipeline Complexity
Number of distinct data silos (Google Ads, Meta CAPI, GA4, HubSpot/Salesforce, custom ERPs, and billing engines).
Warehouse & Compute Architecture
Cloud infrastructure requirements (BigQuery, PostgreSQL, Snowflake) and real-time vs batch synchronization cadence.
Machine Learning Models
Custom time-series forecasting, predictive customer lifetime value (LTV), and multi-touch algorithmic attribution.
Executive Dashboard & Alerting System
Custom decision dashboards for founders and C-suite, complete with anomaly alerts sent directly to Slack or email.

Scoping Milestones

STAGE 01 • Diagnostic Discovery & Telemetry Audit (3–5 Days)
System mapping, data reconciliation audit, and fixed-scope architectural specification.
STAGE 02 • Data Warehouse & Schema Modelling (2–3 Weeks)
Unified data model with standardized revenue, lead, and CAC definitions across all sources.
STAGE 03 • Attribution & ML Pipeline Deployment (2–4 Weeks)
Closed-loop tracking, predictive scoring models, and automated reporting dashboards.
STAGE 04 • Continuous Decision Support & SLA (Ongoing)
Weekly data health checks, algorithm fine-tuning, and executive performance reviews.
Request Diagnostic Scope & Assessment →

Questions

Data & Business Intelligence: frequently asked questions

Which BI tools do you support?

Looker Studio, Power BI, Tableau and custom web dashboards. We work with whatever you already license rather than pushing you onto something new.

Can you integrate data from legacy ERPs?

Yes. We build custom extractors and connectors for legacy databases, cloud platforms and flat file exports.

How is this different from Analytics?

Business intelligence reports what the business did — revenue, margin, operations — from your internal systems. Analytics measures what people do and models what happens next. Most businesses need both, but they are not the same build.

Next step

Ready to build your next growth engine?

Tell us where your business is today. We’ll identify where technology, intelligence and marketing can take it next.