Data Management Strategy
Biopharma companies are faced with the enormous problem of performing faster data management, often with less resources, whilst the predicted increase of non-EDC data is set to rise by 100% in the next 3 years.
Traditional methods of clinical data management are no longer fit-for-purpose and the industry are looking to data engineering principles, proven in other sectors, to right-size their effort and avoid the costly exercise of outsourcing.
Achieve Intelligence, with over 30 years of cross-industry data engineering experience, can help you produce a data management strategy which will future-proof your organization for the data challenges ahead.
Data Migration Projects
Many clinical research organizations are looking to migrate their current and legacy clinical and related operational data from proprietary software databases into enterprise data lakes, to enable a more data science-led approach to their R&D.
This can be a huge undertaking, which requires the whole organization to be onboard. Current, transition and future state planning is essential, including all stakeholders, alongside detailed technology expertise of legacy systems and on-prem/off-prem data lake solutions.
Achieve Intelligence have a wealth of experience bridging business and IT capabilities and can help you plan, manage and execute a successful delivery of your migration exercise to ensure your organization can leverage the benefits of a data science strategy.
Measuring key performance indicators for multiple studies, of differing phases, across all types of therapeutic area has been a challenge for many years in the BioPharma sector.
Inconsistency and inaccuracies have caused false positive readings leading executives and sponsors to panic when there was no need, and worse, false negative readings leading to costly trial conduct violations which should have been avoided through an accurate early warning KPI system.
Achieve Intelligence have developed methodology to consistently identify critical data points, within a landscape of multiple attributes, providing executives with a dashboard of actionable metrics; ensuring smooth operations & efficiency identification, across all types of clinical studies.
There are thousands of software products, offering similar benefits to the BioPharma industry, and though diversity can enable off-the-shelf requirements-fit, huge effort can be expended reviewing which capabilities are offered by which tool.
Best practice and regulations have identified that organizations need to audit how software is chosen, through RFP procedures – however companies should be able to realize additional benefits from these processes, without it turning into a tick-box exercise.
Achieve Intelligence have developed a method which identifies hundreds of products in the clinical data management space, categorizing their features and functions; to help companies fast-track their decisions during the long-list/short-list stages of the RFP process, within GCxP guidelines.