Operate

Managed Data & Analytics Services

Extend your team with ongoing data engineering, analytics, reporting, and platform expertise without having to build an entire internal data function.

Building a data platform is the start, not the end. Pipelines need monitoring, models need extending as the business changes, reports need support and costs need managing. Fafanua’s managed data and analytics services give organisations in Uganda and East Africa ongoing data engineering and analytics capacity, as a managed service or as fractional data engineering and analytics support, so the trusted data foundation keeps working after launch.

Problems this service solves

  • The platform was delivered, but no one is responsible for running and improving it.
  • Recruiting and keeping a full in-house data team is slow and costly.
  • Pipeline failures and data issues are noticed late, by report users.
  • Requests for new reports and data changes queue behind other work.
  • Platform costs grow without anyone reviewing them.

What Fafanua delivers

  • Platform and pipeline operations

    Managed data pipelines, data-platform monitoring and incident support.

  • Data-quality monitoring

    Ongoing checks on the data that matters, with issues raised and resolved.

  • Analytics and BI support

    Dashboard and reporting support, analytics development and data-model enhancements.

  • Optimisation and activation

    Platform, cost and performance optimisation as usage grows, and Reverse ETL and operational data activation.

  • Fractional data engineering and analytics

    Fractional data engineering and analytics capacity, with documentation and knowledge transfer to your team.

Typical engagements

  • Managed data pipelines
  • Data-platform monitoring
  • Data-quality monitoring
  • Dashboard and reporting support
  • Analytics development
  • Reverse ETL and operational data activation
  • Platform optimisation
  • Cost and performance optimisation
  • Incident support
  • Data-model enhancements
  • Fractional data engineering
  • Fractional analytics support
  • Documentation and knowledge transfer

Business outcomes

  • A data platform that stays dependable after launch.
  • Data engineering and analytics skills without building a full internal team.
  • Predictable support for reporting and data changes.
  • Knowledge kept in the organisation through documentation and transfer.

Where it fits in the Fafanua lifecycle

Operate follows the six lifecycle stages. Engagements typically move from assessment, to implementation, to a managed service that keeps the foundation monitored, maintained, improved and activated.

  1. DesignData Strategy & Platform Architecture
  2. ConnectData Engineering & Integration
  3. ModelData Warehousing & Analytics Modelling
  4. TrustData Quality & Reliability
  5. GovernData Governance & Metadata
  6. DecideBusiness Intelligence & Analytics
  7. OperateManaged Data & Analytics Services

Relevant sectors

Let’s build a data foundation your organisation can trust.

Which number do you trust least? Tell us about the reports and figures your organisation relies on.