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Maximize the value of your data with our all-in-one solutions. We help you turn complex information into clear, strategic insights that drive success. Rely on us as your trusted analytics partner, your data journey starts and thrives here.

Data services go far beyond technical support, they’re a catalyst for transformation. They empower smarter decision-making, enhance operational efficiency, and reveal new paths for growth. With advanced data capabilities, organizations can refine strategies, optimize workflows, and create tailored user experiences. Plus, they help safeguard data integrity, ensure regulatory compliance, and minimize risk.

By investing in high-quality data services, businesses can fully leverage their data assets to stay ahead of the competition, driving both revenue growth and cost efficiency. In our view, that’s the foundation for long-term success.

Marcus Norrgren

Marcus Norrgren

Data Lead, Sogeti Sweden

Raj Durg

Raj Durg

Group Client Partner, Sogeti Sweden

Driven by expertise, focused on your success

Craft your data strategy


As more vital data is generated beyond traditional data centers, having a robust data strategy becomes essential for sustainable growth. Our experts can craft a tailored, actionable 3-5 year roadmap aligned with your specific goals and operational needs.
By involving key stakeholders from the start, we ensure alignment across the organization and smooth integration with core business functions. We support you in building a strong data management framework, defining roles, encouraging collaboration, establishing shared accountability, and setting clear success metrics. In essence, we deliver a transparent, strategic path to help you reach your data-driven ambitions.





Establish your data platform

Our Data Platform Service delivers a powerful, future-ready foundation designed to support real-time analytics, self-service capabilities, and AI governance. It integrates smoothly with your existing Enterprise Architecture and offers the flexibility needed to adapt as your business evolves.

We unify ETL, BI, and AI tools using cutting-edge frameworks such as data lakehouses, data fabric, and data mesh. This modern approach ensures your organization stays agile, innovative, and ready to meet the demands of today’s data consumers, helping you maintain a strong competitive advantage.

Instill confidence in your data

Trust is the cornerstone of any data-driven organization. To fully unlock the potential of AI and become truly data-powered, your data must be accurate, secure, and dependable. Our Trusted Data service lays the groundwork with a resilient and trustworthy data foundation.

We emphasize strong data governance, quality assurance, and protection. A well-structured governance model supports data cataloging, boosts transparency, and promotes data literacy across the organization. Meanwhile, a robust data quality framework ensures consistent access to reliable information. Effective data management and protection practices help unify data across systems, prioritize privacy, and ensure compliance, reducing risk and reinforcing trust at every level.

Optimize data access and consumption

Streamline your organization’s data management by minimizing manual interventions and administrative overhead. We help enable self-service capabilities, allowing business analysts and AI developers to independently access the data they need, accelerating insights and decision-making.

Our approach includes selecting the right tools based on usage patterns, distinguishing between internal operations and external data monetization. By treating data sets as products, we help you package and deliver them in ways that align with your business goals and make them easily accessible across the organization.

Data Trust

High-quality data and strong data security with traceability are often essential for consolidating data into a unified platform. Making data accessible is key to becoming data-driven. We help you build a Trusted Data Platform.

We use solutions such as cataloging, governance, encryption, and logging to protect your data. Our reference architecture can be a hybrid of cloud and on-premises environments. A Trusted Data Platform enables more organizations to digitize and become data-driven, supported by the latest AI technologies. Sogeti has also developed the Trusted AI Framework to ensure data quality in AI applications.

How it works:
Sogeti believes in informed decision-making and high-quality analytical services. The Trusted Data Platform consolidates data in a consistent way and prioritizes security through encryption and access control. With comprehensive audit trails and logs, you gain transparent insight into the data lifecycle.

Perspective 1: Security
Security is about protecting data and building trust in your processes. A trusted data platform defends against threats and ensures regulatory compliance.

Perspective 2: Quality and Trust in AI, ML, and Analytics
Data quality is critical for AI and analytics. A Trusted Data Platform, together with the Trusted AI Framework, ensures safe and reliable operation of AI services.

Our Services:
We offer consulting, implementation, and management of Trusted Data Platforms, including strategy, business analysis, and Master Data services. We also provide specialized services for Data Governance and Data Quality, along with support functions tailored to your desired SLAs.

Data Governance

Data Governance answers key questions like who owns the data, where it originates, and who is responsible for it. While essential for both business operations and regulatory compliance, it can often feel overwhelming.

Our Services:
We offer end-to-end Data Governance services—from strategy and vision to full implementation. Our team includes specialists in every key area.

Solution Areas:
– Data Lineage: Establishes traceability to ensure business rules, data transformations, and origins are clearly understood.

– Data Catalog: Organizes and indexes data without moving it, providing visibility into what data exists, where it resides, and who is accountable.

– Business Glossary: Promotes consistent terminology and clear business definitions across the organization.

– Data Quality: Tackles issues such as duplicates, outdated records, and inconsistencies to improve data reliability.

– Data Privacy: Ensures data is handled in compliance with legal and regulatory requirements, including pseudonymization and anonymization.

– Data Lifecycle Management: Manages data based on its lifespan and archiving needs to support retention policies.

– Master Data Management: Creates a single source of truth for core business entities and ensures interoperability across systems.

– Entity Relationship Management: Extracts insights from data, such as user behavior patterns and relationships between entities.

Report

Data powered enterprises

The path to data mastery. This report from Capgemini Research Institute highlights the surge in organizations unlocking value from data for business and financial gains.

Download your copy
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