We turn data into valuable business information
Advanced data analytics is a critical step toward generating and sustaining growth and driving the organization’s development. Reporting and visualization reveal a range of phenomena arising from the company’s operations, while Data Science answers questions such as:
- Why do these phenomena occur?
- Which of them represent opportunities, and which are potential threats?
- What needs to be done to capture these opportunities?
How do we work?
Accurate data analysis requires not only the right methodology for the target solution, but also distribution of the resulting knowledge to the right people. When building our products, we focus on effective communication and adapt them to tools the client’s team already knows and can use.
Our technology stack includes coding solutions such as Python and R, low-code and no-code tools such as Alteryx, and combinations of both approaches when the solution requires custom development or a visual presentation layer.
At handover, we provide every solution together with implementation workshops that teach future users how to modify and maintain the product independently. Our team has extensive experience delivering a wide range of training and transfers knowledge that enables new users to become self-sufficient with the tool quickly.
Fraud detection
Effective identification and prevention of fraud involving payments, loans, and insurance is critical for banks, insurers, and other financial institutions. One example of effective fraud detection is a situation in which transactions that differ from a client's previous behavior appear in an account and the system holds them until the account owner provides additional authorization. Proper use of Data Science tools in fraud detection increases financial security and client trust.
Personalized marketing
Sales success depends on creating a personalized offer that matches an individual client's needs and preferences. In Data Science, we use tools that direct the right combinations of products and services to selected clients at the right time. Reversing this logic, we also build solutions that identify potential buyers for a new product. Personalized marketing builds client loyalty and relationships, increases campaign effectiveness, and leads to better business outcomes.
Customer value forecasting
Customer lifetime value (CLV) forecasting predicts the total value a company will obtain over its entire relationship with a client. Data Science tools analyze client data, behavior, and preferences, then forecast value over time. This gives companies a better understanding of what drives the metric for individual buyers. They can focus on the most valuable accounts and create personalized offers and loyalty programs, building long-term relationships and increasing company value.
Predictive analytics
Predictive analytics supports company growth. Easier access to data enables companies to use technologies such as machine learning to understand their business better. Ongoing data analysis reveals problems that constrain growth, while predictive analytics indicates how to address them. Combining results from different analyses gives companies a more complete view of the situation and improves management.
Risk modeling
Risk modeling improves the management of financial institutions such as banks and insurers. It enables them to price financial products properly and assess the value of other companies, which is important when investing, carrying out a merger or acquisition, or changing a company's structure. Advanced data analysis tools provide a better understanding of the risks associated with these activities, support better decisions, and improve services and investment management.
Dynamic product and service pricing
A dynamic price list for products and services, based on current utilization at points of sale and their warehouses, provides up-to-date information about where and at what price a client can be served fastest. This enables the company to use its resources better, creates capacity to serve more clients, and identifies the areas that should take priority when planning investment in company growth.