Data
Leveraging data and AI takes a 360-degree approach
Power your operations with trustworthy data
The race is on to build more data-driven organizations. However, this is a tall order if your data can’t be trusted. In other words, if your organization doesn’t handle data in a structured, unified, and compliant manner, the output won’t match the effort.
With NNIT, you get the capabilities and experience to advise, design, implement, and operate your data project. We have a proven track record of setting up advanced data analytics, creating the foundation for AI solutions, and concretizing regulatory compliance.
Our services extend well beyond the technical realm, and we always bring a 360-degree mindset. Whether you need a maturity assessment, a data migration, or an organization-wide update of culture and capabilities, our overarching focus is to help power your organization with trustworthy data.
Data enablement services
Unlock the full potential of your data with our end-to-end enablement services. From strategy and compliance to migration, integration, and insights, we help you build a connected, compliant, and business-ready data landscape.
With deep industry knowledge and proven tools like TRUseries, we ensure your data delivers value—securely, efficiently, and exactly where it’s needed.
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Data Advisory & Strategy
Advisory on data strategy is the structured process of defining which data will benefit the organization most to work with, what tools to use and how to organize the people working with data, defining roles, responsibilities, and processes.
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Data Connectivity
Via Data connections NNIT can create custom Integrations or use our existing predefined interfaces (SAP, Veeva and FactBird). These support fast implementation of data from different sources into a unified view, ensuring consistency, accessibility, and accuracy. It enables the data workers to faster analyze and use data more effectively across systems.
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Data Insights
NNIT delivers solutions suites that moves data and insights closer to the business, empowering users to make their own dashboards. We connect SAP ERP data to Microsoft Power BI via Fabric to all Lines of Business in an open format. All end-users can decide when, what and how to access data and turn data into insights across SAP.
This Personalized Insights approach offers users more accessibility, flexibility and self-reliance.
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Data Governance
The demands of modern data platforms and AI require business to have a solid data foundation to keep up. The NNIT Data Governance service offering ensure data quality, security, and operational insight at every level of the data pipeline.
Building an organization that runs on trustworthy data
Access to data is worth very little if your organization doesn't know how to use it or can’t trust it. With NNIT, you get at set of proven services that enable your colleagues to leverage trustworthy data—a game changer in relation to costs, compliance and time-to-market.
If different colleagues can get different answers from the same data, you shouldn’t blame either your colleagues or the data. Most often, discrepancies stem from differences in culture, capabilities, systems, and approaches within your organization.
The different lines of business in a any given company—production, sales, HR, finance, and so on—are limited to see a small number of dashboards from different systems. Changing or creating new dashboards requires external assistance, so new insights are hard to get, limiting the business from doing its best. 
In life science and regulated industries especially, companies find it challenging to correlate information across different systems. This can impact time-to-market, generate higher costs in relation to production and internal processes, and ultimately impact compliance.
Set up your organization for success
Insights
Online Events
Life Sciences, AI, Data, Veeva Solutions
Webinar: Stay Ahead of Veeva Releases - How AI can Streamline your Risk Impact Assessments
Cases
Life Sciences, AI, Data
Biotech strengthens data foundation to scale innovation responsibly
Articles
Life Sciences, Data, Drug Safety
Building Pharmacovigilance That Lasts with Robust Data Governance
Articles
Life Sciences, Data, Regulatory Affairs
Navigating the Transition from XEVMPD to PMS: Preparing for IDMP Compliance
Articles
Life Sciences, Clinical, Data
Data Enablement: Leverage eTMF for business transformation
Articles
Life Sciences, Data, Drug Safety
How Data Governance Can Level Up Patient Safety
Cases
Life Sciences, Data
Leo Pharma: Algorithm sorts 18,000 documents at LEO Pharma
Cases
Life Sciences, Data, Migration Solutions, Veeva Solutions
argenx: A collaborative approach to data migration
Online Events
Life Sciences, Data
Revolutionize Data Migrations with AI-Driven Efficiency
Establishing a Future-Ready Data Organization
To align data capabilities with business strategy, we take a structured approach to designing and implementing a modern data organization. This process ensures that the right roles, skills, and structures are in place to support strategic goals. The effort spans three key phases: defining the vision and stakeholder landscape, assessing current and future organizational needs, and executing a targeted implementation plan.
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Vision, stakeholder map, and plan
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Business sponsor presents a vision for working with data: Where can a data organization support the objectives of the business strategy. Prioritization and limitations are outlined.
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Stakeholders in the existing organization are mapped.
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Interviews and workshops are planned.
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Interviews and workshops
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Current data (as-is) roles in the organization are mapped.
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To-be data organization is outlined, identifying the roles needed.
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GAP analysis is performed: What competencies are missing in the current organization?
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Evaluation of roles: Which are to be internal, and which are to be sourced externally.
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Presentation for management and approval.
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Implementation
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Create and execute development plans for employees.
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Create and execute sourcing plan for external consultants.
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Perform OCM activities.
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Start working within the new organization with new processes.
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Structured Data Maturity Assessment (DMA) tailored for the life sciences industry
In the life sciences industry, data is not simply an operational by-product - it is the foundation for scientific discovery, regulatory compliance, and market delivery. Yet many organizations underestimate the gap between their current data practices.
NNIT’s structured Data Maturity Assessment (DMA) is tailored for companies in the life sciences industry - giving a clear, evidence-based view of current practices and the steps needed for impactful improvements.
