Ongoing, scalable support to maintain platform performance

Case study with our philanthropic client

Our client is a philanthropic organisation working to forge a fair future by challenging inequalities and campaigning for meaningful change. ​They are a data-driven organisation, guided by research from experts around the world to develop tools, standards and insights that inform and influence policy decisions. To stay focused on their mission and strategic priorities, it was important for them to be able to confidently scale and support their data and integration platforms.

Challenge: Maintaining platform performance and continuous improvement

Following the recent uplift of their analytics and integration platforms, our client required a flexible support model to maintain performance and adapt to growing demand. ​

Key challenges included the need for platform stabilisation, proactive monitoring, and access to skilled resources with deep domain familiarity. ​

Support had to accommodate platform fluctuations, provide expert guidance to internal teams, and align with concurrent enhancement projects, without introducing additional overhead or complexity.

Solution: Scalable managed support services

DataDivers proposed our responsive managed support services, which span both analytics and integration environments. We call these support services Valve. ​

The Valve support model provides scalable access to experienced on-the-ground professionals who are familiar with our client’s platforms and context. ​

Services include proactive health checks, maintenance, and continuous improvement initiatives. For analytics, support covers data quality, onboarding of new pipelines, and advisory services. For integrations, we ensure operational stability across Python-based APIs, file transfers, and critical financial workflows, while aligning to DevOps principles wherever feasible.

Value delivered: Cost-effective platform scalability and reliability

With expert assistance from DataDivers readily available through Valve managed support, our client is able to:​

  • Confidently scale data and integration platforms while retaining internal focus on strategic priorities.​
  • Respond quickly to resolve platform issues.​
  • Maintain platform reliability.​
  • Continuously deliver improvements. ​
  • Benefit from a cost-flexible model that adapts to varying demand, strengthens internal capability through knowledge sharing, and ensures that both analytics and integration platforms remain dependable foundations for the organisation’s ongoing digital evolution.​

DataDivers

DataDivers’s domain in Rmkble is the deep ocean of data, analytics, and AI. Their expertise spans data and AI strategy, building data and AI platforms and hubs, advanced AI and ML driven analytics and data science, and creating a data first culture.

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