About
The client is a leading manufacturer and supplier of personal care products in the USA with operations across Latin America, Europe, and APAC.
Solution
Tenzai conducted a Purpose-Driven workshop to understand the business objectives and vision for AI & Data Science. Based on the insights from the workshop, the roadmap and execution plan for creating a data science team for the CPG firm was defined.
In the next step the ideal team composition, skillsets, and technology stack were finalized. In the initial phase, the client was looking to set up a team of 5 data scientists. Tenzai leveraged existing teams, databases, universities and AI finishing schools to accelerate the recruitment process.
Introduced a seed team for capabilities such as supply chain, marketing and customer analytics to accelerate GTM timelines for the program. The program benefitted from the best practices, frameworks and domain expertise of these data scientists.
In the next step the processes ranging from delivery management, analytics governance, program management, technology infrastructure, KPIs, etc. were set up.
The data science program was kickstarted within a month with a seed team of 2 data scientists and the entire team of 5 data scientists was ramped up within 2 months.
The data science team started interacting with the client’s Analytics and business teams. Both the teams collaboratively created a charter of deliverables for each quarter.
The data science team’s responsibilities included developing machine learning models, developing AI prototypes, data visualization and identifying new use cases. Another important responsibility included rapid insights generation (RIG), where data scientists conducted an in-depth exploratory analysis to help business users arrive at important business decisions backed by insights.
The data science team also contributed to enhancing analytics adoption within the organization by conceptualizing new intuitive analytics applications which had a low learning curve for business users.