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A client’s computing ecosystem was antiquated and unfit for purpose. Research scientists were frustrated because data was siloed and required time-consuming manual data wrangling to perform meaningful cross-experimental data analysis. The IT organization had spent millions of dollars on a multiyear IT solution that met no scientific needs.
We performed a comprehensive assessment of the client’s IT needs. We engaged with senior research executives, scientific and computational thought leaders, and bench scientists to document scientific and data analysis workflows and pain points. We jointly developed a prioritized list of strategic opportunities and generated a comprehensive program roadmap and business case. Funding proposals were successfully presented to Discovery Research, R&D, and CIO Leadership teams.
While promising transformational change, we needed time investment from already over-taxed scientists who were skeptical of success the second time. We had to demonstrate quick success, generating credibility as we went.
We uplifted source systems, improved data management practices, and introduced a scientific workbench that enabled self-service access for scientists to easily traverse the data point space to execute data analyses, then capture and share knowledge learned.