Companies leverage BI solutions to:

  1. Maximize Revenue: Identify opportunities to increase profits by eliminating unnecessary discounts, boosting sales of high-margin products, expanding product offerings, capturing larger market shares, and capitalizing on seasonal demand fluctuations.
  2. Optimize Cost Management: Pinpoint areas of financial loss, such as inventory inefficiencies, and utilize system analytics to re-engage with forgotten customers, and monitor sales team performance effectively.
  3. Enhance Operational Efficiency: Maintain control over business operations and foster stronger customer relationships. BI analytics help prevent product overloading, minimize accounts receivable accumulation, and mitigate issues that can strain customer relations.
  4. Streamline Workflows: Liberate employees from time-consuming data retrieval tasks, allowing them to focus on core responsibilities with critical information readily available.
  5. Ensure Accuracy: Eliminate human errors through automated reporting, ensuring that data analysis and decision-making are based on reliable information.
  6. Facilitate Objective Evaluation: Provide an objective assessment of performance and events. Instead of relying on subjective impressions, employees can rely on precise data, such as stating a sales increase of “10% compared to last month” rather than a vague improvement.
  7. Establish Unified Understanding: Foster a shared understanding across the organization by standardizing terminology and metrics, ensuring that all employees interpret data consistently and communicate effectively.

Results of Implementation BI solutions

Company owners attain:

  1. Positive Economic Impact: Implementation of the analytical system yields qualitative changes in management, leading to an overall enhancement in business efficiency.
  2. Controlled and Monitored Operations: Digital metrics are visualized and consolidated onto a single report page. Grouped into logical clusters, these metrics are easily interpretable, allowing for real-time identification of issues requiring close attention.
  3. Data Consolidation from Various Sources and High-Speed Processing: The system serves as a unified point for data analytics across different companies, accommodating various levels of aggregation and depth of historical data analysis.
  4. Uniformity of Facts within the Company and Improved Data Management Culture: All metrics are calculated using a standardized methodology, leading to a swift and seamless evolution of reports, thereby standardizing internal reporting and freeing up time for data analysis itself.
  5. Time Liberation (Reduction) for Employees Engaged in Analytical Reporting: The need for data preparation diminishes as data becomes readily available.

Top managers of the company receive:

  1. Simplification of setting and communicating performance targets to employees: Open, easily verifiable, and consistent data simplify the development of objective performance evaluation criteria and the monitoring of intermediate results. This creates a basis for constructive dialogue between managers and subordinates.
  2. Increased awareness of the current situation and its causes, growth in employees’ level of thinking, and improvement in the quality of issue analysis: If previously employees relied on a single indicator to make decisions, the availability and simplicity of analytics lead to an increase in the number of factors considered.
  3. Rectification of deficiencies in the company’s accounting system: Any shortcomings in the data become apparent. The most common problems include duplicate entries in directories, outdated classifiers, lack of analytical features, and the need to restore data integrity and consistency.
  4. Data access management: Employees are granted access only to the data necessary for performing their functional duties (implemented through a role-based model).

Employees of the company receive:

  1. Ease of use: Specialized knowledge or skills are not required to operate the system.
  2. Significant reduction in time spent on preparing routine and rigidly standardized reports: There is no need to prepare such reports as management has direct and immediate access to them. Non-standard reports are generated quickly and from a single source. Time is spent on analysis rather than struggling with data.
  3. Independence of analysts from IT: Users control the display format of information. Summary reports can be easily reconfigured by adding (or reducing) the list of indicators, adjusting the level of aggregation, and changing time intervals.

To determine whether it is necessary to implement BI analytics in the company, let’s answer the following questions:

  1. The state when there are reports but no analysis and action strategies.
  2. Each department has “its own correct figures.”
  3. The number of employees preparing reports is 5 or more.
  4. Disparate storage and handling of data, low level of automation (data input, storage, and handling in different databases, Excel files).
  5. A large number of reports, but they are still insufficient.
  6. Several reports are used to obtain data in the required dimensions.
  7. Long time to generate reports in the accounting system.
  8. There is a large universal report that contains everything but is very difficult to work with.
  9. Ignoring accumulated experience in the company due to the complexity of conducting retrospective analysis.

If you have 3 or more positive answers, then it is likely that your company needs to implement a BI system to improve management, optimize processes, and increase business efficiency.

Our Competitive Advantages:

  1. Speaking the Same Language as the Client: We initially built BI systems for ourselves, aiming to break free from the constraints of traditional accounting systems. Consequently, we deeply understand the challenges and difficulties faced by employees in companies lacking BI analytics.
  2. Crafting Well-Thought-Out and User-Friendly Systems: The logic behind building directories and indicators is intuitively understandable to users, ensuring ease of adoption.
  3. Delivering Fast and High-Performance Solutions: We prioritize the speed of report generation, extensively testing systems to retain only the best-performing solutions.