
AI thrives on structured data, but in many enterprises, data is fragmented and chaotic.
For AI strategy to translate into real value, data inputs must align with business objectives and be clean, structured, and contextual.
We help you bridge the gap between your business goals and technical execution, transforming your data and practices to build a robust, scalable, and AI-ready foundation that enables:
• Self-service insights
• Process automation
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• Visibility for informed activities
• Real-time intelligence
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CHALLENGE
Data, a critical component of AI
The quality of data directly determines the reliability of AI outputs.
As raw data typically has multiple sources, lacks context, and carries inconsistent definitions, many AI projects face hidden complexities, causing a critical gap between business vision and technical execution.

Data input from multiple systems

Data chaos lacking
common definitions

AI or ML model
using fragmented data

Decision-making based
on unreliable insights

7N SOLUTION
Data Intelligence Transformation
Using our proven Data Intelligence Transformation methodology, we combine business understanding and technical expertise to help you drive the changes needed to support your AI ambitions:
We help you bridge strategy and execution
Through senior expertise and a bottom-up approach, we focus on the essential work of translating business ambitions into technical requirements, scaling and building engagement through working prototypes.
No new technologies - optimize your existing investments
AI-ready data with a proven approach
The Data Intelligence Transformation methodology builds on a phased framework, enabling us to split the overall project into smaller parts that fit into your needs and align with your overall strategy.


CASE STUDY
Transforming data to enable self-service analytics
Faced with fragmented data in siloed systems, a large paytech client lacked a unified customer view. Using the Data Intelligence Transformation methodology, 7N delivered a robust foundation for advanced analytics and AI adoption which:
• reduced manual reporting by 70%,
• empowered teams with real-time, self-service analytic,
• and shifted culture from data scepticism to advocacy.

As organizations work to execute the boardroom’s vision for data-driven operations, many struggle to translate strategic ambitions into real business impact.
This whitepaper explores the hidden complexities of data initiatives, offering practical guidance to realize your data strategy and deliver measurable value.
See our work in action
Learn about our experience and insight working on data transformation and AI projects with clients across industries.






