Advanced Analytics: Solving Business Challenges in Azerbaijan
Machine learning methods for data analytics enable businesses to gain deeper insights into customers, products, promotions, and retail locations, as well as to develop models for forecasting demand, predicting customer behavior, and creating personalized offers in Azerbaijan
Factual accounts and standard forms for answering the question "What happened?"
Data aggregation and intelligent processing to answer the question "Why did this happen?"
Statistical analysis and modeling to answer the question "What could happen?"
Mathematical models and optimization algorithms to answer the question "What should we do?"
Projects involving the implementation of solutions based on descriptive analytics and reporting account for approximately 70% of all projects involving the implementation of data reporting and analysis tools
In advanced analytics, we use machine learning approaches and methods to intelligently analyze data on customers, products, offers, and retail locations. This enables us to create models for forecasting demand, predicting customer behavior, generating personalized offers, and more.
Projects that implement solutions based on prescriptive and predictive analytics have the greatest impact on achieving business results
of Using Advanced Analytics
You don’t need to rely on employees’ intuition or outdated, ineffective tools. Make the most accurate and objective decisions possible by taking dozens of influencing factors into account.
You don’t have to wait several days for analysts to complete the task in Excel spreadsheets. Get a solution in just a few minutes—or a few hours at most—even when dealing with hundreds of thousands of products or millions of customers.
Don’t limit yourself to a single forecast option just because you don’t have the resources to calculate several alternatives. Get multiple options with varying levels of detail.
Agrichain AgriChain is a software company that develops enterprise-class ERP solutions for the AgTech market
Agrotrade The AGROTREYD Group is a vertically integrated agro-industrial holding company with a complete production cycle (production, processing, storage, and trade of agricultural products)
RBC Group's Partnership with "Asino" Asino in Ukraine is a modern pharmaceutical company specializing in the development and manufacture of high-tech medicines. Today, the company ranks 8th among Ukrainian pharmaceutical manufacturers.
RBC Group's Partnership with "Asino" Asino in Ukraine is a modern pharmaceutical company specializing in the development and manufacture of high-tech medicines. Today, the company ranks 8th among Ukrainian pharmaceutical manufacturers.
“Romensky Plant ‘Traktorozapchast’” PJSC “Romensky Plant ‘Traktorozapchast’” is a recognized leader in the production of spare parts for automotive and tractor equipment. The plant operates its own mechanical assembly, foundry, forging, and tooling facilities and manufactures over 100 types of products for wheeled tractors, combine harvesters, trucks, and passenger cars, as well as consumer goods.
RBC Group's Partnership with 24Print 24print is a printing company that handles orders of any size and print run, delivering exceptional service and outstanding quality
RBC Group's Partnership with 24Print 24print is a printing company that handles orders of any size and print run, delivering exceptional service and outstanding quality
Advanced analytics in BI systems – a solid foundation for managerial decision-making
The ability to think strategically is a key trait of a successful manager. Often, historical data serves as the primary source of information for managers when making decisions. However, retrospective analysis does not allow for highly accurate predictions of future events. Such forecasts tend to be intuitive and are often unreliable. Modern technologies allow us to move beyond relying on luck and intuition and instead utilize advanced analytics. The artificial intelligence of modern Business Intelligence platforms enables the modeling of future events by considering multiple scenario options. The software identifies patterns in both structured and unstructured data and uses them to generate forecasts and recommendations.
How advanced analytics can transform your business
Advanced analytics can be effectively applied to a company’s operational and investment activities, as well as to customer service. With the help of business intelligence platforms, you can drive business growth. Forecasting covers several key areas where informed management can significantly reduce costs and increase profits:
- Customer Churn Prediction. Advanced analytics tools help identify and mitigate key factors that could lead to customer churn. Business Intelligence analyzes vast amounts of data, including quantitative and behavioral factors. The ability to effectively retain customers allows businesses to save significantly, as maintaining and developing relationships with existing customers costs 4–5 times less than acquiring new ones.
- Demand forecasting. Helps manage financial resources most efficiently, avoiding tying them up in inventory that exceeds demand while also preventing shortages. When creating forecasts, advanced analytics relies not only on historical data but also on the availability of substitute products and the interdependencies between product groups.
- Promotion optimization. This feature allows you to quickly generate several promotional offer options that will increase customer interest in your business. The program takes into account the specifics of the organization’s promotional policy as well as its goals. Based on the input data, optimal proportions of products from various categories, groups, or segments will be selected, making your offer appealing to the maximum number of customers.
- Recommendation system. Helps develop strategies for building long-term relationships with customers. The system analyzes consumer demand, purchase frequency, and key interests. Using this data, the BI platform personalizes product and discount offers and creates an activity calendar, which helps maintain the target audience’s interest and increase sales.
- Smart segmentation. This is generated based on dozens or hundreds of characteristics of your audience using machine learning methods. To perform smart segmentation, the program thoroughly analyzes customer profiles and groups them into separate clusters. This approach helps predict the impact of your offer on the audience with the highest accuracy, as well as create the most engaging and purchase-motivating communications.
Advanced analytics is based on a comprehensive analysis of data, its interpretation, and the forecasting of future trends. Business Intelligence platforms identify and analyze various patterns, opening up new opportunities for your business. This approach helps avoid subjectivity in decision-making and significantly reduces potential risks.
Business Analytics or Advanced Analytics: Which Option Should Your Company Implement?
At first glance, business analytics and advanced analytics programs have quite a lot in common:
- collect and prepare data for further analysis;
- help evaluate the effectiveness of various initiatives and improve productivity;
- make it easier to process large amounts of information by presenting it in the most clear and informative way.
However, the objectives of these two approaches differ significantly. Business analysis helps solve straightforward day-to-day tasks. It allows for the evaluation of past events and the implementation of measures to improve the current situation. Advanced analytics helps predict the future outcome of management decisions. A proactive approach allows for the consideration of various hypotheses and accounts for the impact of changes in individual environmental factors on the outcome.
A key feature of a BI system is its ability to analyze factors that are difficult to quantify. Without software capable of reliably assessing and analyzing these factors, managers are forced to rely on their subjective judgments and personal experience. Advanced analytics helps managers of individual departments and the company as a whole to develop the right strategy and predict the results of planned changes. A comprehensive approach to management requires managers to utilize the capabilities of both Business Intelligence subsystems.
Key Features of Advanced Analytics in BI Platforms
One of the key distinctions of specialized business analytics software is the system’s ability to learn on its own. Machine intelligence tracks patterns in data changes and identifies correlations between them, enabling the generation of the most accurate forecasts. Conducting such a comprehensive analysis of individual hypotheses “manually,” without the use of specialized software, takes much longer and requires the involvement of subject matter experts. BI platforms do not have these drawbacks.
What sets them apart is:
- High data processing speed, enabling the rapid evaluation of multiple hypotheses and the formulation of recommendations.
- User-friendly experience thanks to an intuitive interface and clear visualization of analysis results.
- Adaptability to the specific needs of a particular organization—the platform will not include unnecessary features.
The accumulation of large amounts of diverse information during an organization’s operations significantly complicates analytics and limits management’s ability to make informed decisions. Implementing advanced analytics solutions is beneficial both for large enterprises requiring comprehensive forecasting and for small firms striving for sustainable development. You can learn more about the capabilities of the Business Intelligence platform by requesting a presentation on our website. RBC Group managers will help you customize the product to meet the specific needs of your organization.
