background Layer 1

MIS (Management Information System) for R-Pharm. Analytical reporting on the effectiveness of business operations

Project manager on the customer side
Kirill Lyadov
Director of Digital Transformation
IT Provider
Year of project completion
Project timeline
January, 2021 - November, 2021
Project scope
18500 man-hours

The main goal of the project for the development and implementation of an analytical reporting information system for evaluating the effectiveness of business operations (hereinafter referred to as MIS) is to ensure transparency and traceability of expenses and income related to business areas, products, territories. The imperative for most project decisions is the simplicity and clarity of the logic of calculation, reporting and analytics for business leaders.

The need to provide shareholders and top management of the company with operational information about the effectiveness of all major business processes and operations at once. The goal was achieved with the help of convenient mobile and desktop analytical tools (dashboards), reflecting operational information with a minimum delay from the moment it is stored in source systems.

In order to eliminate management errors, it was necessary to implement a fully automatic solution for data quality control based on business rules.

It was important to provide shareholders and top management of the company with visual analytical tools to access all information 24/7 from anywhere in the world from any available device.

The uniqueness of the project

The uniqueness lies in the fact that the project has created not only a technological platform, but also a business practice of operational business analysis, as well as the possibility of communication integration of departments using a mobile analytical platform.

At the same time, a light mobile interactive interface, a powerful data quality management system and an automated comparison system for management and accounting were developed. This approach made it possible to provide a convenient communication basis for business management, and the necessary transparency of the origin of data, which created confidence in the new management system.

This approach made it possible to immediately provide shareholders and top management with a comprehensive picture of the state of the enterprise. At the same time, the data model can subsequently be detailed, providing tools to other levels of company management.

The developed solution allowed the company's management to obtain information on the commercial effectiveness of all business operations within the framework of a plan / factual analysis with allocation to various levels of analytics (CFD, products, transactions, etc.) based on information from management P&L, management and accounting records.

Used software

The solution is deployed on-premise across platforms:

  • Microsoft SQL Server Enterprise Edition

  • Power BI Report Server

Difficulty of implementation

The key complexity of the project lies at the intersection of technological, organizational and methodological issues. Development was carried out in an agile approach.

Coverage of all major business processes of the holding required

  1. An initial comprehensive analysis of the methodology for analyzing and accounting for an enterprise in order to develop a unified view of the analytics of the effectiveness of business operations.

  2. Phased development of UX and UI - to solve the main issues of managers in 3-4 clicks.

  3. Rapid implementation of a prototype based on a high-level approach in order to quickly put it into operation /

  4. Iterative refinement and refinement of accounting and analytics methods to achieve the required level of accuracy in subsequent stages of the project.
Project Description

The R-Pharm group of companies is one of the leaders in the Russian pharmaceutical market. Field of activity: development, research, production, market launch of a wide range of medicines. The company operates throughout the Russian Federation and the CIS countries, the USA, Germany, Japan and India.

The main results of the project:

  • Business leaders received a mobile tool for analyzing the effectiveness of the main types of business with details to any operation;

  • Managers received a set of information panels with the ability to answer basic questions about dynamics, marginality, forecast of the implementation of plans - on the main performance indicators of departments in a wide range of analytics;

  • The company received a single point of access to obtain the necessary data on management accounting and commercial indicators;

  • A specially developed methodology for accounting for actual results provided the management with transparency of activities and prompt decision-making.

The architectural system is

  • QCD, including the entire historical dataset of management and accounting, functional data marts,

  • Data quality control subsystem

  • Controlling subsystem

  • Data management tools

  • Visualization tools and detailed analytics.

As a result of the project, the system was put into operation and allowed management at all levels to get a tool that provides a comprehensive and detailed view of the company's commercial performance at any time. At the same time, the implemented methodology is not limited to management, accounting, or only P&L of the company, but represents the most effective set of these data.

Project geography

Lots of news from technology vendors and modern cases on how to use data analytics for operations excellence – this is what March brought us this year.

“Before the automation introduction, the process was complicated by the fact that the address system was stationary, not dynamic. We could not automate serial and batch accounting of products. It was not possible to automate the warehouse replenishment processes, both planned and on order. The accounting system did not reflect all goods movements,” says Alexander Permyakov, head of the warehouse complex.

The retail landscape is filled with various technologies and trends, but not all of them will become mainstream. Economic considerations often hinder the adoption of innovations. For instance, digital price tags have promising features but are yet to show significant economic benefits, limiting their widespread use.

This article will delve into the emerging trends in retail, with a particular focus on AI. How it is poised to lead the way in improving business 

Read More

PIM (Product Information Management system) is designed to store and process large amounts of content data about goods. Georgy Khotyan, Head of Back Office Systems Development at Detsky Mir, talks about how PIM was created, its internal structure and main advantages.

We use cookies for analytical purposes and to deliver you the best experience with our website. Continuing to the site, you agree to the Cookie Policy.