Streamlined IT Onboarding and Resource Optimization

Project scope
Categories
Training & development Project management Copy writing Information technology HardwareSkills
research reports operational efficiency blog posts research discounts and allowances writing mailchimpMarvelousAI is seeking to enhance its IT department's efficiency by developing a comprehensive onboarding process and training manual for new hires. The goal is to ensure that new employees are quickly brought up to speed with the company's IT protocols and systems. Additionally, the project involves conducting an inventory of existing hardware to identify any gaps or redundancies. The team will also research alternative software solutions to improve operational efficiency and cost-effectiveness. An IT budget for the upcoming fiscal year needs to be created, taking into account current and future needs. Lastly, the project includes writing informative blog posts for non-profits, detailing available IT/tech discounts from providers like Microsoft, MailChimp, and various open-source and free software options, along with a cost analysis.
- A detailed IT onboarding process and training manual.
- A comprehensive inventory report of current hardware assets.
- A research report on alternative software solutions, including pros and cons.
- An IT budget proposal for the upcoming fiscal year.
- A series of blog posts for non-profits, outlining available IT/tech discounts and providing a cost analysis.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
About the company
MarvelousAI is an early stage startup founded by tech industry veterans. We are building an augmented analytics platform to provide actionable insights regarding online narratives. Our “Cyborg” intelligence methodology detects narratives and fine-grained emotional content, combining the power of human-in-the-loop learning with the latest in natural language processing, computational linguistics, and machine learning.