Our Legacy Archive Audit and Modelling Service is a turn-key data-empowerment service providing unparalleled real-world insights into your digital archive system and its surrounding workflows from inception through to present day. We currently support most leading Legacy Archive systems such as DIVArchive, Kumulate, MassStore, FlashNet, StorNext, BlackPearl, and others.

We take a data-science driven approach to modelling, analyzing, quantifying, and forecasting all Key Performance Indicators (KPIs) of your Legacy Archive system from inception through to present day. We analyze and expose all core Legacy Archive system metrics including workflow specific indicators, asset utilization patterns, system performance details, resource loading, assets, and resources at risk, and more.

These invaluable real-world insights eliminate all guesswork and assumptions, providing concrete data to empower your data-driven next-generation archive transformation vision.

If you are contemplating a potential migration off your Legacy Archive platform, our data-empowerment service helps expose real-world archive KPIs to effectively reduce migration timelines by accurately modelling system resources, duty cycles, archive performance, and sustaining production demands. We can also pre-emptively identify potential roadblocks and risk areas increasing migration efficiency and overall migration success rates.

The work product is a detailed 50+ page report (mainly data visualizations) highlighting all KPIs, analysis results, growth forecasts and projections, utilization patterns, areas of concern, various TCO models, next-generation reference architectures, as well as next-generation archive recommendations and guidance.  Reports and data analysis can be customized to achieve certain client objectives or answer specific operational or technical questions.

Our team will present the final report to client stakeholders to ensure clarity and understanding of analysis results, migration discovery, TCO scenarios, and next-generation reference models.