AWS Data & Analytics Competency validated
The data foundation your AI strategy is waiting for.
Every AI ambition in an enterprise runs into the same wall: core banking, ERP, billing and payments data sitting in silos, reconciled in spreadsheets, refreshed monthly. Dashboards lag, regulators ask for reports nobody can produce quickly, and the AI pilot cannot find trustworthy data to learn from. The fix is a governed, AWS-native data platform you can stand up in weeks, not years.
Your alternatives
What most organisations try first, and the trade-off.
Extend the on-prem data warehouse
Familiar, but licence renewals, hardware refresh and power costs keep climbing, and it was never designed for unstructured or streaming data.
Buy a SaaS analytics suite
Quick dashboards, but data leaves the country, pricing is per user in dollars, and you still need an engineering team to feed it.
Build it in-house
Full control, but data engineers who know AWS Glue, Apache Iceberg and Lake Formation are scarce in the region and take a year to get productive.
Our commitments
What you can expect from us.
- One governed platform for structured, semi-structured and streaming data
- Row-level security and lineage that satisfy the Data Protection Act and your auditors
- Regulatory and board reports produced in minutes, not days
- A path from reporting to machine learning without re-platforming
- Costs that scale with usage, with a FinOps view from day one
What we deliver
Data and Analytics offerings.
LakeStack: AI-ready data in weeks
LakeStack is a pre-engineered data foundation that deploys into your own AWS account: ingestion from SaaS, databases and SAP, automated transformations, governance applied as data lands, open Apache Iceberg storage and an intelligence layer for AI. Live in weeks rather than a twelve-month data programme. See lakestack.com.
Data warehouse modernisation
Migrate Oracle, SQL Server, Teradata or Netezza workloads to Amazon Redshift or Amazon Aurora with AWS Database Migration Service and the AWS Schema Conversion Tool.
Streaming and real-time analytics
Event pipelines on Amazon Kinesis, Amazon MSK and AWS Lambda for transaction monitoring, network telemetry and fraud detection.
BI and self-service analytics
Amazon QuickSight dashboards with embedded analytics and natural-language Q, plus training so business teams stop waiting for IT.
Data governance and compliance
Classification, masking, retention and access policies mapped to GDPR, the UAE and Saudi PDPLs, POPIA, NDPA and the Kenya DPA, implemented in AWS Lake Formation and Amazon Macie.
Data engineering as a service
A dedicated squad that owns your pipelines, data quality and platform operations under an SLA.
Outcomes
Numbers from engagements our teams have delivered.
Outcomes from engagements our engineering teams delivered for customers in North America and Asia Pacific.
How it runs
The process, with durations.
- 1
Data discovery 2 weeks
Source inventory, data quality sampling, consumer interviews, residency classification and a target architecture.
- 2
Platform foundation 3 to 4 weeks
LakeStack deployed into your AWS account: landing zone, lakehouse, catalogue, security model and the first ingestion pipelines.
- 3
Use-case delivery 4 to 8 weeks per wave
Domain data products, dashboards and ML-ready datasets prioritised by business value.
- 4
Enablement and run Ongoing
Training for your analysts and engineers, plus managed operations if you want them.
AWS programs
Data platform builds that retire legacy databases are often eligible for AWS migration programs. Ask our experts whether yours could qualify.
AWS services we build with
The AWS toolkit behind data and analytics.
- Amazon S3
- AWS Glue
- AWS Lake Formation
- Amazon Athena
- Amazon Redshift
- Amazon QuickSight
- Amazon Kinesis
- Amazon MSK
- AWS Database Migration Service
- Amazon SageMaker Unified Studio
Industries
Where we apply it.
Financial Services
Banking, insurance and fintech on AWS, built for your regulator and your customers.
Telecommunications
Telecom platforms that scale like the networks they run on.
Manufacturing
Smart manufacturing for plants that cannot afford downtime.
Retail and E-commerce
Commerce that survives the flash sale and learns from it.
Public Sector
Cloud-first government, delivered within the policy.
Questions
Common questions
Where will our data live?
In the AWS Region that fits your residency rules, such as Africa (Cape Town), Middle East (UAE) or Europe (Frankfurt). Where national regulation requires in-country processing, we design hybrid patterns with a local serving copy and document the classification so you can show your regulator exactly what sits where.
Do we have to replace our core banking or ERP system?
No. The lakehouse sits beside your systems of record and ingests from them with change data capture. Your transactional systems continue unchanged while analytics and AI move to the platform.
How is this different from buying a BI tool?
A BI tool shows data. A data platform makes data trustworthy, governed and reusable for reporting, regulation and AI at the same time. We deliver both, but the platform is what compounds in value.
Next step
Scope data and analytics with us.
Tell us the outcome you are after. We reply within one business day with a suggested first step, and whether an AWS program could help offset the cost.