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S&S Labs
§01.CCapabilities / Data & Analytics

Data Engineering & Analytics

Turn disconnected data into reliable operational intelligence.

Pipelines, platforms and analytics that make your data trustworthy and usable: from capturing changes in operational systems, to a governed warehouse or lakehouse, to the dashboards and forecasts that decisions depend on.

A data specialist studying a wall of screens filled with charts in a dim operations room.

§1The problems it addresses

The problems it addresses

  1. P1

    Every report is a project

    Analysts spend most of their time extracting and cleaning data by hand, and the same number differs between departments.

  2. P2

    Yesterday's data for today's decisions

    Exports run overnight or weekly. By the time a problem shows up in a report, it has already cost you.

  3. P3

    No single version of the truth

    The same customer, product or location is described differently in every system, and nobody owns the definition.

  4. P4

    Reporting that is hard to verify

    Regulatory and donor reporting depends on manual consolidation that is slow to produce and hard to audit.

§1.1See it working

One set of numbers, current and explained.

The dashboard a data platform makes possible: definitions agreed once, data minutes old, and exceptions raised before anyone has to look for them. The Systems Lab runs the pipeline behind it.

Network overview

This week, all regions

Search orders, routes…
94%

On-time delivery

94.1%

+1.3 ptsTarget 95%

92%

Orders today

1,284

+6.2%Target 1,400

80%

Vehicles on route

112

+8of 140 in the fleet

61%

Stock cover

18.4 days

−2.1 daysTarget 21 days

Orders

Per day, this week against last

7,884 total
This weekLast week
1,284 today
MonTueWedThuFriSatSun

Live routes

112 vehicles across 5 hubs

Lagos · 89% on time

  • Kigali97%

  • Nairobi96%

  • Johannesburg95%

  • Accra93%

  • Lagos89%

Deliveries by region

Completed this week

412
Lagos
318
Nairobi
286
Joburg
174
Accra
94
Kigali

Activity

4 open exceptions
  • Route LG-14 delivered 6 min earlyLagosJust now
  • Stock below reorder point, SKU 1182Lagos depot2 min ago
  • Route NB-07 delivered on timeNairobi5 min ago
  • Delivery 3 h behind route planNairobi9 min ago

Scroll sideways to see the whole interface.

§2What we deliver

Solutions, not slogans.

  • Change data capture

    Stream inserts and updates from operational databases without loading them, so the data platform is always current.

  • Lakehouse and warehouse design

    Layered storage (raw, cleaned, modelled) with clear ownership, lineage and cost control.

  • Data quality and governance

    Tests on every pipeline, documented definitions, access policies, and alerts when data breaks rather than when a report looks wrong.

  • Real-time analytics

    Event streams and operational dashboards for the things that need minutes, not days.

  • BI and decision support

    Dashboards designed around specific decisions, with each metric defined once and used everywhere.

  • Forecasting

    Demand, cash-flow and capacity forecasts that show their uncertainty honestly.

§3Applications

Where it applies.

  • LogisticsLive visibility of stock and shipments across warehouses, fed from ERP and warehouse systems.
  • GovernmentIndicators consolidated from several agencies' systems for planning and public reporting.
  • TelecomsNetwork and customer events analysed in near real time to detect outages and churn risk.
  • NGOsProgramme monitoring data from field tools consolidated into one place for donor reporting.

Illustrative applications, not a list of past clients.

§4Typical deliverables

Typical deliverables and engagement

  • 01Data platform architecture
  • 02Ingestion and CDC pipelines
  • 03Modelled, documented datasets
  • 04Data-quality tests and alerting
  • 05Dashboards and reports
  • 06Metric definitions (semantic layer)
  • 07Access and governance policies

§5How the engagement works

  1. 01

    Map

    Inventory sources, owners and definitions, and the decisions the data has to support.

  2. 02

    Lay the foundation

    Ingestion, storage layers, quality checks and the first datasets people can trust.

  3. 03

    Deliver insight

    Dashboards and reports for the first priority decisions, used by the people who make them.

  4. 04

    Scale

    More sources, real-time where it matters, forecasting and self-service analysis.

§6See it worked through

See it in action, and the solutions it powers.

Services in this area

  • Data pipelines and integration
  • Change data capture and event-driven data flows
  • Data warehouses and lakehouse architectures
  • Real-time analytics
  • Business intelligence and dashboards
  • Data quality and governance
  • Forecasting and predictive modeling
  • Reporting and decision-support systems

Next capability

Cloud & Platform

Talk to us about data & analytics.

Describe the problem in a few sentences. We reply with questions, a first view of the approach, and who you would work with.

Start a projectOr explore the Systems Lab