Data and Analytics

We help you create more value from your data, enabling better, faster, and more informed decisions.

Jhonny Sharma

Partner / Analytics

+47 982 46 288 jhonny.sharma@gritera.com

Baste Fladmark

Partner / Analytics

+47 958 19 179 baste.fladmark@gritera.com

We offer services within

Data strategy & data organisation

We help you establish a clear data strategy that connects business objectives and prioritized use cases with technology, organization and data governance. The strategy also defines how the data function should be structured and managed. Together with your team, we clarify roles and responsibilities, data ownership, and the right balance between centralized and decentralized data capabilities.

We support you in establishing effective ways of working, applying DataOps principles where relevant, and strengthening data literacy and skills across the organisation. The goal is a robust structure that enables faster delivery of high-quality insights and data-driven solutions.

Data & BI engineering

We design, model and build data platforms and BI solutions that are scalable, stable and easy to use. This includes ingestion, transformation and structuring of data, solid information models, and solutions for reporting, analytics and self-service insight.

Our advisors cover roles such as platform architect, data engineer and BI engineer, with experience from modern cloud platforms and tools. We are technology-agnostic and ensure that the solution fits your enterprise architecture, security requirements and future growth.

AI & analytics

We execute and operationalize advanced analytics to solve concrete business needs, such as process automation, improved decision support, risk assessment, forecasting and segmentation.

We apply statistics, classical machine learning and GenAI-based models where they deliver documented impact. Our AI and analytics specialists ensure that models are developed, operated and further enhanced in a controlled way, with clear ownership, full traceability and alignment with your existing data platform and governance model.

All deliveries are led by our senior advisors, and selected specialist environments are involved where this strengthens the outcome. This ensures end-to-end, traceable, and secure AI solutions built on a solid data foundation and proven business value.

Technical lead, Project management & Interim roles

We take responsibility for leading data and analytics initiatives from idea to stable solution in production. We step into key roles such as:

  • Tech lead, Solution Architect, Team Lead

  • Product, Project or Program Manager

  • Interim leadership roles for IT operations and data & analytics functions

We ensure solid technology choices and a coherent architecture for data platforms and integrations. We establish clear delivery structures and agile ways of working, and secure effective collaboration between business, development, security and operations. We support migration and modernization of existing solutions and help build well-functioning cross-functional teams.

The goal is projects that reach the finish line, and solutions that can be successfully owned, operated and further developed.

Governance

We establish data governance that provide structure and predictability in how data is used. This includes clear accountability, data ownership, and defined requirements for data quality. We set robust principles for access management and the management of critical data and master data across systems.

The governance framework is tailored to your organisational model and level of maturity, ensuring traceability, compliance, and control without slowing down development, analytics, or innovation.

Succeeding with data and analytics is about more than technology

It requires clear objectives, the right architecture, robust data models, and governance that ensures quality, ownership, and compliance. Above all, it requires solutions that work in practice for subject matter experts, management and operational teams.

End-to-end delivery across the value chain

Gritera provides advisory, technical leadership, and development across the entire data and analytics value chain. We help you define a target state for data and analytics, organize roles and responsibilities, and establish a structure that can be operated and evolved over time. We design and implement modern data platforms that support analytics, reporting, real-time needs and integrations. We build data and BI solutions that deliver relevant, reliable, and actionable insights to the right users at the right level.

Pragmatic use of AI and advanced analytics

Within AI and advanced analytics, we take a pragmatic approach. We identify use cases where machine learning and GenAI create real business value, and ensure solutions are built on a solid foundation of data platforms, data quality, and governance. The focus is on traceability, security, and a clear link to concrete business needs.

Advisors with depth and business understanding

Our advisors have backgrounds from leading expert environments in Norway and have worked closely with organizations that demand precision, robustness, scalability, and documentation. They combine modern technology and methods with solid business understanding, and know the difference between concepts that sound good and solutions that actually work.

Result

This is how we connect strategy, data platforms, data analytics, BI and AI in an integrated way. The result is better management information, faster and more precise decision support, and a data foundation that supports growth, regulatory requirements, and critical scrutiny.