Halma data processing and analysis company
Decision Making through Data Science
Decision Making
through Data Science
It is an organized collection of information in which the data sets are related to each other in different ways.
Providing regular and coherent data flow to enable data-driven activities.
Determining and examining useful information is aimed at helping the process of making important decisions in various fields, which often appears in the form of modeling algorithms, forecasting, pattern determination, etc.
There is a huge amount of structured and unstructured data that has the potential to help companies improve their operations and make faster and smarter decisions. The number of these data is so much that it was difficult to process them using traditional databases and existing software.
It is a technology-driven process for data analysis that provides practical and strategic information to managers, owners and key decision makers of a business.
One of the appropriate solutions is to identify opportunities to improve the design and implementation of projects, and by using the value engineering technique, it is possible to examine the different dimensions of the project in a team, with a creative vision and in a short time frame. The maximum capacity for quality improvement, cost reduction, and execution time reduction should be identified.
Ready to seize opportunities and make them count...?
Why choose us ?
Halma data processing and analysis company was established in the year 1400 with the aim of improving the awareness of managers and producing added value using modern processing methods in the fields of statistics and data mining. Creative display of data, discovery of hidden patterns, modeling and forecasting, and providing and analytical services are areas in which he has expertise and experience.
Halma is now a registered company.
Halma services
What we do:
- Identifying customer purchasing patterns
- Analyzing market shopping baskets
- Predicting customer purchase volume through e-commerce posts
- Examining internal and external factors affecting businesses
- And more…
- Determining the usage level of credit cards based on various societal classifications
- Analyzing customer creditworthiness
- Identifying key factors in repayment risk of loans
- Analyzing customer responsiveness for offering new banking services
- And more…
- Determining the usage level of credit cards based on various societal classifications
- Analyzing customer creditworthiness
- Identifying key factors in repayment risk of loans
- Analyzing customer responsiveness for offering new banking services
- And more…
- Smart trading
- Analyzing internal and external factors influencing financial markets
- Price prediction and influential factors
- Stock market
- Digital currency market
- Analyzing competitive factors and development
- Text mining
- Predicting demand, compiling sales item lists, assessing the impact of price and quality on sales volume
- Customer acquisition, methods, advertising venues, and timing
- Customer retention, loyal customers, and lost customers
- Customer understanding, duration between customer visits, customer churn rate
- Increasing customer purchase volume, cross-selling, and upselling
- Detecting phone scams
- Detecting insurance frauds
- Detecting credit card frauds
- Detecting suspicious financial transactions
- And more…
Free Expert Advice
Helma is here to provide you with free expert advice for analyzing and processing your data.
To get in touch with our experts, give us a call.
