Business Analysis & Change Management Service

and experience in , program planning and execution all help to make informatics projects run smoothly. Zifo has a unique combination of science and informatics experienced business analysts. We routinely conduct scientific process mapping, system and data architecture, vendor selection process and RFPs, & system integrations, custom development, rollout and end-user training, and help desk and knowledge base development.

Enterprise and local scale, RFI and early vendor assessments, requirements gathering, use cases elaboration, demonstration scoring tools and methods, RFP creation, budgeting and financial assessments, project decision support tools

Leveraging best practices such as ITIL and "follow the sun" support structures, extensive technology partner network, level 1, 2 & 3 support, early adopter user training, roll out hyper care, BAU support and knowledge base creation

Program and Project scale, AGILE to WATERFALL and all the different connotations between, project scoping and resource planning, kick-off and project delivery, reporting, finalisation and closing

Go Live planning and execution, end-user & super user training, user support, drop-in clinics, hyper care, knowledge base creation, Level 1, 2 & 3 support for any scale rollouts, small, large, global, multisite etc.

Industry gurus engage in current state and vision setting, transformation coaching, building change momentum, thought leadership, technology options and innovation via POCs & value demonstrators, industry insights & benchmarking

ERP, Registration, Inventory, ELN, LIMS integration, laboratory instruments & robotics, project planning & lab audit tools, integration layer technology, instrument data standards (ADF, AniML, SiLA etc.), tech blueprints

Custom architecture, design, build, test, web & cloud, visualisations, JAVA, Python, C++, JavaScript, REACT, AJAX, automated testing, microservices, AWS, GCS, AZURE, Hadoop, SPARK, GRAKN, SQL, Docker, Kubernetes etc

"Always on", end-user support, proven scale, quality, processes and knowledge of scientific applications have a measurable impact on end-user efficiency, satisfaction and application downtime.

Stakeholder and end-user engagement, requirements and vision capture, change readiness assessment, decision making and consensus building, communication planning and program success monitoring.

AS-IS process mapping, TO-BE state definition, application landscape & data landscape mapping, instrument and lab audits, requirements capture, FRS creation, FAIR assessments & dashboarding, data maturity assessments and analysis