- Calendar planning
- Resources consumption forecasting
- Demand and volume of sales forecasting
All of this is possible thanks to deep analysis of geospatial and numeric data, as well as text data. The processes are facilitated by studying factors and constraints involved and forecasting future trends.
Advanced analytics will supply you with answers to questions like ‘What happened?’, ‘Why did it happen?’, ‘What will happen?’ and ‘How can we make it?’ Guided by the answers you will be able to eliminate risks in good time and take full advantage of opportunities for business development.
In-depth data analysis is in high demand in any branch of business, organization and field. In the 5 years of our company’s operation we have gained most experience in the following areas:
Detect factors affecting your company’s KPI. Find unusual correlations in data and define new growth points. Assess the effect of various decisions and make timely adjustments to your company’s strategy. Use forecasting tools and scenario analysis to model development scenarios.
Use advanced analytics tools for calendar and resource planning. Detect conflicts in resource plans and find variants for resolving them. Optimize routes and logistics processes, predict load and resource consumption.
The project for IT-company, our business partner. Within the project, the classification of patient examination results had to be automated.
As a result, patterns in joint coding of patients’ diagnoses and treatment were determined and a system of rules was developed with available data. This system is aimed at defining diagnoses / treatment skipped in the process of encoding.
The project for the Federal State Statistics Service (Rosstat).
We helped to analyze statistical survey results of households and carried out statistical processing of sample surveys in order to apply the survey results to the general set. In particular, data smoothing for regions and for types of economic activities was carried out, with past tendencies and balance restrictions taken into account.
The project for a Russian logistics company. To optimize the logistics (to define faster routes) raw data were prepared and cleaned, optimal routes were defined with all restrictions taken into account and the results visualized and represented in analytical reports.
The system for a Russian oil company. The project’s aim was to automate the analysis of the initial calendar and resource plan, to detect resource conflicts and to remake the plan with the available resources and technological and business limitations taken into account . Analytical and numerical methods, as well as genetic algorithms were used to handle the task.
The project for the Ministry of Labour and Social Protection of the Russian Federation. The main objective was to create a tool for medium-term and long-term forecasting of demand for human resources in various branches of economy. The solution involved defining independent and control variables affecting demand for staff. We also formulated analysis scripts and built a forecasting model based on methods of the correlation-regression analysis.
In dealing with advanced analytics tasks we are guided by the 15 years of experience of our team: mathematicians, business analysts and IT-scientists. Every task is handled with analytical methods, technologies and software most suitable for the purpose. Once we have access to real datasets, we guarantee a high level of information security conforming to the ISO 27001 standard.
To solve advanced analytics tasks, access to real datasets is crucial . At Smart Analytics we employ the world’s best practices in information security: our information security management system is certified in accordance with the requirements of the international standard ISO 27001:2013.
Thinking about using data to improve performance? Write to us and we will offer what you need.