We help you introduce analytical tools into the business and the HR-processes system: we set up data collection, select analysis tools, develop and implement dashboards and train internal specialists.
determination of the most effective channels of attraction
audit of the selection process
audit of the recruiters' competencies
Adaptation
determination of the factors of employee loyalty
reducing the cost of onboarding employees
calculation of the return on employee investment
Retention
predicting the risks of dismissal
analysis and mitigation of turnover risks
calculation of turnover cost
Assessment and development
identification of key competencies
calculation of the economic effect of the project
Current analytics related business issues
* This is not an exhaustive list of our services. Contact us and we will offer the best solution in accordance with the current business objectives
* This is not an exhaustive list of our services. Contact us and we will offer the best solution in accordance with the current business objectives
Project implementation steps
1
Alignment of project goals and key metrics
Having identified the main problems of the customer, we agree on the image of the result, formulate a hypothesis, and draw up a list of metrics and data.
2
Data collection and preprocessing
The most time consuming process. In absence of the required information, we establish the process of obtaining data and integrate it into the activities of the company.
3
Analysis
After the initial data processing, we conduct an analysis using machine learning algorithms: we determine the factors affecting business indicators, key relationships, and build a forecast.
4
Conclusions and recommendations
The final presentation contains the analysis methodology, conclusions, comments and recommendations (the program code is transmitted upon request).
5
Implementation of recommendations
Based on the analysis results obtained, you will be able to:
Predicting the risks of dismissal of employees of the retail sales department
Company: A regional chain of optics stores (NDA), active in the industry for more than 15 years, includes 32 stores Project audience: more than 300 people
Objectives: increasing the retention of new employees, reducing the cost of retaining new employees.
Key results:
"The ELTV schedule of the retail sales manager was built
The payback period of the employee is calculated — 4.5 months
Key factors of turnover identified: KPI fulfillment, availability of a mentor
Analysis tools transferred: the company now has tools for calculating ROI on HR processes and projects
Basic recommendations formulated
Increase in return on investment: ROI on recruiting and onboarding new employees + 15% in the first year due to the implementation of recommendation
Analysis, optimization and improvement of operational efficiency of the shipping process of the plant
Company: A large manufacturing enterprise (NDA), one of the leaders of the Russian market in its industry, the company’s cargo traffic is thousands of tons of products per year.
Number of employees: more than 2500 people
Objectives: increasing the freight traffic of the shipping segment of the logistics process, to develop a common understanding of improvement potential zones and ways of regulating processes by company employees against the background of emerging excesses.
Key results:
Visualization of chain of processes allows you to recognize which processes can be launched in parallel and allow making management decisions based on them. In total, 8 processes were identified that can be performed in parallel, which speeds up the entire process of shipping the logistics sector of the plant.
The proposed initiatives significantly increases cargo traffic and reduce the time for the full cycle of product shipment from the creation of an application to its implementation.
The use of parallel processes reduces time, and therefore proportionally increase efficiency
Risk management allows the plant to increase the predictability of the process chain.
The proposed initiatives maximally reduce the most significant and probable risks by 95%, freeing up capacity for 700 minutes, giving more than 560 additional tons of loading