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Data

Power your operations with trustworthy data

Leveraging data and AI in life science takes a 360-degree approach 

The push is on for life science companies to become more data-driven, but this is a tall order if your data fundamentally can’t be trusted. In other words, if your organization doesn’t handle data efficiently and compliantly in a structured, unified manner, the output rarely matches the effort. 

At NNIT, we have the capabilities and experience to advise, design, implement, and operate, regardless of your starting point and ambitions. Whether you need a maturity assessment, a data migration, or an organization-wide update to culture and capabilities, we can help you. 

We have a proven track record in life science of creating foundations for AI solutions, setting up advanced data analytics, and concretizing regulatory compliance. Our services extend well beyond the technical realm, and we always bring a 360-degree mindset. Our overall focus is to help power your organization with actionable, trustworthy data. 

 

Data enablement services

We help you comply with Identification of Medicinal Products (IDMP) regulations when submitting data.

As a leading IDMP consultancy, we leverage TRUseries tools to ensure cost-efficient compliance with regulation requirements. 

We help you transfer data to Veeva and other systems, from data preparation over migration to verification. 

With a broad data- and system knowledge across R&D and Quality domains and long experience with TRUSeries data migration tools, we ensure cost-efficient, high-precision data transfers. 

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. 

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 trust it. With NNIT, you get at set of proven, end-to-end services to 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 pharma company—production, sales, HR, QM and finance—are limited to see a small number of dashboards from SAP or Veeva. It requires external assistance to change or create new dashboards, so new insights are hard to get, and the systems limit the business side from doing their best.  

In addition, most life science companies find it challenging to correlate information across SAP and Veeva solutions (and across SAP and Veeva, for that matter). 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 

At NNIT, we can help you turn your organization into a data-driven juggernaut that handles data in a structured, unified manner. Based on a proven framework, our consultants help you set up your organization to always receive, produce, and circulate trustworthy data. 

You get a comprehensive approach to implementing best practices across your organization, encompassing architecture, governance, engineering, and enablement. This allows you to stay compliant consistently and get the best out of AI and data analytics tools. 

Currently, we support customers with more than 30.000 end-users with data enablement, data education, and data management.  

  • 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
  • Stakeholders in the existing organization are mapped
  • Interviews and workshops are planned
  • Current data (as-is) roles in the organization are mapped 
  • To-be data organization is outlined, identifying the roles needed 
  • GAP analysis is performed: What competencies are missing in the current organization? 
  • Evaluation of roles: Which are to be internal, and which are to be sourced externally 
  • Presentation for management and approval 
  • Create and execute development plans for employees 
  • Create and execute sourcing plan for external consultants 
  • Perform OCM activities 
  • Start working within the new organization with new processes 

Our experts are ready to help

Contact us, and we will find a solution that suits your needs

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