With this service, I offer to optimize some of your KPIs through data analysis.

What does data science have to do with your revenue (turnover) ?

As a business/business manager, with customers and cash flows, or even a CRM, you must have data.
This data, more or less structured, probably poorly utilized, is a gold mine for you.

What I propose with this service is to perform data analysis work on the data you have in order to improve various KPIs of your organization.

Here are the main business KPIs that can be improved through data analysis

- Commercial and marketing KPIs

Prospect conversion rate
Customer acquisition cost (CAC)
Customer lifetime value (LTV)
Retention and churn rates
Return on marketing investment (ROMI)
Acquisition channel effectiveness

- Financial KPIs

Revenue forecasting
Profit margin
Cash and cash flow
Financial anomaly and fraud detection
Price optimization

- Operational KPIs

Inventory management and demand forecasting
Supply chain optimization
Predictive equipment maintenance
Employee productivity

- Customer service KPIs

Customer satisfaction score (CSAT/NPS)
Problem resolution time
Identification of at-risk customers and most profitable customers

- HR KPIs

Employee turnover prediction
Recruitment optimization
Identification of high-potential talent
Employee engagement analysis

Data analysis allows for identifying hidden patterns, making precise predictions, and obtaining actionable insights to improve these performance indicators in a significant and measurable way

Through analyzing your data, I can both optimize KPIs and build predictive models

Predictive product demand model: accurately anticipate the quantity of products needed, optimize your inventory management, and maximize your profits.
Churn prediction model: identify in advance customers likely to leave so you can act effectively and increase your retention.
Customer Lifetime Value (LTV) calculation model: precisely determine the real value of your customers to optimize your marketing and sales strategies.
Intelligent Lead Scoring: focus on high-potential prospects thanks to predictive scoring that increases your conversion rate.

What is my work process ?

Analysis & Audit: I learn about your business, your existing data, and your specific objectives (defining the specifications)

Building models or analyzing data: After we've defined together the objectives to achieve, I will carry out the necessary operational work

Delivery & Implementation: I support you in integrating the results into your daily workflow and ensuring their proper use for concrete results.

Throughout the service, I will be available daily here on Comeup to answer any questions or need for explanation you may have!
Not being a data expert yourself, it's normal that some elements escape you or seem nebulous.

My job, in addition to the operational task, is to ensure that you perfectly understand what I'm doing.
You will be the architect and I will be the mason.

The work I will do (data analysis or predictive model building) will depend on your objective and the current structure of your data.
However, with the basic service, I can only work on a database of maximum 100 MB.
Analyses can be done with different tools (R, Python, SPSS, Java or others).