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Data and Analytics

Data and Analytics Services — Data Organisations Trust, Act On, and Govern

BCS delivers the full data services spectrum: strategy, platform setup, ongoing management, migration, analytics, and governance. Every engagement is anchored in deKorvai-validated data quality and Symphony-orchestrated delivery, so the data estate organisations inherit is governed, accurate, and built to support AI-ready operations.

80% of AI initiatives fail to scale due to data quality (Gartner)
Most organisations describe their enterprise data as untrusted
Majority of enterprises lack a coherent data strategy
Service Portfolio

Six service areas. One integrated data partner.

Each service is delivered with deKorvai data quality validation, Symphony orchestration, and Anugal identity governance built in from the first day, not added after handover.

Data Strategy & Assessment

A structured data strategy engagement that maps the current data estate, identifies quality gaps, defines the target architecture, and delivers a prioritised roadmap. Organisations that invest in strategy before platform spend avoid the data lake failures that send 80% of unplanned initiatives toward abandonment.

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Data Platform Setup

Architecture design and build of enterprise data platforms on Azure Synapse, AWS Redshift, GCP BigQuery, SAP Datasphere, and SAP BW. Platforms engineered from first principles, with deKorvai quality checks and Symphony-automated pipeline deployment baked in at setup, not retrofitted after go-live.

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Data Platform Management

Ongoing managed operations for enterprise data platforms: pipeline health monitoring, cost optimisation, incident resolution, and performance tuning. Symphony-orchestrated runbooks replace reactive on-call rotations with governed automation, so data engineering teams are not spending 40% of their time firefighting incidents.

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Data Migration & Integration

End-to-end data migration and integration delivery across cloud, SAP, and legacy platforms. deKorvai validates record completeness, referential integrity, and business-rule accuracy before any source is decommissioned. Integration architectures that connect the 28% of organisational data that is currently siloed across disconnected systems.

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Data Analytics & BI

End-to-end analytics and business intelligence delivery: semantic modelling, self-service reporting, embedded analytics, and predictive dashboards built on Power BI, SAP Analytics Cloud, Tableau, Looker, and Databricks. Analytics estates that reflect a single version of truth, not the average of four incompatible BI tools running in parallel.

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Data Governance & Quality

Enterprise data governance frameworks, data quality programmes, metadata management, and master data governance delivered with deKorvai embedded as the automated quality enforcement layer. Governance that is continuously operating, not a quarterly audit exercise that costs organisations an average of $12.9M annually in poor-quality data.

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Why BCS

The only data partner with deKorvai quality embedded across every engagement

Most data partners deliver platforms, pipelines, or reports. BCS delivers a governed data estate where quality, orchestration, and access control are permanent operating states, not programme deliverables.

01

deKorvai makes data quality a continuous operation, not a project phase

deKorvai runs automated quality checks, scrambling, and ETL validation across every engagement BCS delivers. Data quality is not a workstream that closes at go-live. It is an active, automated layer that flags exceptions, enforces rules, and maintains the trust organisations need to act on their data.

02

Symphony orchestrates data operations so teams are not doing it manually

Pipeline deployments, data quality gate sequences, incident response runbooks, and platform change procedures are built as Symphony workflows during every engagement. Operations teams inherit governed automation, not a library of tribal knowledge and shell scripts that require the original team in the room to execute safely.

03

SAP data expertise alongside cloud-native platform delivery

BCS delivers data strategy, migration, and analytics across SAP Datasphere, SAP BW, S/4HANA embedded analytics, and the major cloud hyperscalers in a single programme. Enterprises running SAP alongside Azure, AWS, or GCP do not need separate specialists who pass the integration problem between them.

Frequently Asked Questions

Refer to this section for answers to frequently asked questions related to BCS data and analytics services.

What's included in BCS's Data and Analytics practice?
BCS Data and Analytics covers six integrated service lines:
  • Strategy & Assessment — maturity baseline and roadmap
  • Platform Setup — Snowflake, Databricks, Fabric, BigQuery deployment
  • Platform Management — 24×7 operations with FinOps and remediation
  • Migration & Integration — cutover engineering, CDC, dbt-orchestrated ELT
  • Analytics & BI — semantic layer, Power BI / Tableau / SAC dashboards
  • Governance & Quality — DAMA-aligned, deKorvai-observed

How does BCS's data practice differ from a Big-4 or specialist consultancy?
Three structural differences set BCS apart:
  • deKorvai is BCS's own platform. Data quality measurement is a delivery asset, not a slide.
  • Symphony orchestrates from week one. Pipeline automation is built in, not a phase-2 conversation.
  • Strategy and engineering in one team. The team producing the roadmap also implements it.

When should we engage BCS — at the strategy phase or the platform phase?
The strategy phase offers the highest leverage. A measured data quality baseline and target architecture defined before platform commitment typically saves 6–12 months of re-architecture later. BCS also engages at the platform setup phase to validate existing strategies, and at the platform management phase to address data quality and FinOps gaps.

What technologies does BCS support across the data practice?
BCS works across the modern data stack:
  • Platforms — Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift
  • SAP data — Datasphere, BW/4HANA, Business Data Cloud, SAC
  • BI — Power BI, Tableau, Looker, ThoughtSpot
  • Integration / ELT — dbt, Fivetran, Airbyte, MuleSoft
  • Governance — Collibra, Alation, Atlan, deKorvai
  • ML — Databricks MLflow, Azure ML, Vertex AI, SageMaker

How does BCS price data engagements?
BCS uses three pricing models:
  • Fixed-price for scoped strategy and assessment engagements (8–12 weeks).
  • Outcome-based for migration and setup engagements with defined acceptance criteria.
  • Subscription for managed services with SLA-backed pricing per data domain.
Enterprise programmes typically blend models — fixed-price strategy, outcome-based delivery, managed services on the production estate.

Ready to discuss a data engagement?

Whether starting with a data strategy assessment, setting up a new cloud data platform, governing an existing estate, or building an analytics layer, BCS delivers the quality and automation that makes data outcomes permanent.

Book a Data Assessment Start with Data Strategy