Cutting-edge business tool that use advanced algorithms and machine learning to drive automation, enhance data analysis, and empower informed decision-making.
Are you struggling to handle and analyze vast amounts of data to gain meaningful insights and make data-driven decisions?
Are you looking for ways to gain a competitive edge by leveraging AI for market analysis, trend prediction, and identifying emerging opportunities?
Do you face challenges in automating repetitive tasks and processes to improve operational efficiency?
Struggling with customer churn, high acquisition costs, or maximizing customer lifetime value? Discover how AI-driven customer analytics and personalized marketing solutions can help.
OMEKTA’s AI solution is designed to develop a machine learning algorithm, analyze large data sets, or build a custom AI solution to solve a specific business problem.
Our team of skilled and experienced professionals specializes in all aspects of data science projects, from problem definition to implementation and deployment. With a deep understanding of the latest AI technologies and methodologies, we offer state-of-the-art services and products tailored to our clients’ needs.
We provide a range of related courses to help organizations build their own expertise in AI. Our courses cover a variety of topics, including machine learning, deep learning, computer vision, and data analysis. Whether you’re just starting out or looking to advance your skills.
Behavioral Pattern Mining Module
The analysis module of performance behavior patterns compares the performance of all organizational units (including employees, evaluators, and organizations) with the reference model, using effective indicators in the evaluation process. The reference model is created by the user, who selects relevant individuals or organizations, and then the degree of behavioral similarity of people with the reference model is analyzed.
- Developing a behavioral reference model,
- Comparing and calculating behavioral similarity,
- Data cleaning,
- Analyzing behavioral patterns in processes like employee, organizational, and financial behavior.
Frequent itemset mining module
The module for identifying frequent patterns and dependency rules, which utilizes machine learning algorithms, explores relationships and interdependencies within data. Such rules have applications in various fields, such as analyzing customers’ shopping carts, identifying patterns between products and services, examining how different indicators influence each other, etc.
- Determining impact types (positive, negative) between features by specifying confidence and support percentages,
- Identification of “if… then…” rules,
- Data cleaning