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Data platforms

One repository, governed, with the data on time

Your information lives across ERP, CRM, SAP, spreadsheets and cloud applications. We bring it into a single governed, scalable repository — and keep it arriving on schedule.

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When this family makes sense

The services
01

Cloud Data Lakehouse

The single corporate repository

We design and deploy a layered architecture — Bronze, Silver, Gold — on AWS, Azure or Google Cloud. Raw data is preserved, curated data is auditable and the business consumes a layer it can trust.

What it covers

  • Discovery of sources and target architecture
  • Deployment of storage and compute
  • Bronze, Silver and Gold layers with naming standards
  • Historical loads and reconciliation
  • Handover to your team

Deliverables

  • Data Lakehouse running in production
  • Architecture and data dictionary documentation
  • Reconciled historical loads

Tools and roles

Amazon S3Azure Data LakeBigQueryDatabricksSnowflakeData architectData engineer

The payoff

One number per question, and somewhere to check where it came from.

02

Source integration, SAP and non-SAP

Extraction, transformation and quality

We build the pipelines that move data from the operational systems into the platform, without touching the performance of the systems that run the business.

What it covers

  • Connectors for ERP, CRM, APIs and files
  • SAP extraction with delta and full loads
  • Transformation and quality rules
  • Scheduling, alerting and monitoring

Deliverables

  • Documented, scheduled pipelines
  • Quality rules with alerting
  • Runbook for the operating team

Tools and roles

AWS GlueAzure Data FactoryGCP DataflowSAP Data ServicesData engineer

The payoff

Data arrives on its own, on time, and somebody finds out before you do when it does not.

03

SAP analytics ecosystem

From extraction to dashboard

Deep work across the SAP stack — BW/4HANA, Datasphere, Analytics Cloud, BPC — including migration from legacy versions and coexistence with the rest of your cloud.

What it covers

  • Assessment of the current SAP landscape
  • Migration to BW/4HANA or Datasphere
  • Semantic models and SAC dashboards
  • Planning and consolidation with BPC

Deliverables

  • Migrated and validated SAP environment
  • Models and reports in production
  • Knowledge transfer

Tools and roles

BW/4HANADatasphereSAP Analytics CloudBPCSAP consultant

The payoff

SAP stops being an island and becomes one more source in a governed platform.

Scitis

Let's start by understanding what you need

The discovery call is free and ends with a recommendation of where to begin.

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