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Customer Relations Management
OYTEK provides customer relations management and data warehousing solutions that are based on advanced, customer-focused business models.
Technological progress results in rapidly changing consumer modes, habits, and preferences that make it difficult for companies to establish and properly manage relations with their customers. It has become essential nowadays for companies to achieve uninterrupted customer satisfaction and to differentiate themselves so as to gain new customers.
OYTEK sets up marketing data warehouses according to the client's specific business needs and provides full-service consultancy and support in order to transform their customers' profiles and spending habits into productive and effective business relationships.
Taking advantage of analytical customer relations management techniques, it is possible to turn raw data into meaningful and useful information. The result is proper and effective customer relations management that will enhance the client's profitability by increasing both the number and the frequency of repeat purchases.
OYTEK offers customer relations management and data warehousing solutions that incorporate customer-focused, modern business models.
OYTEK's Data Quality Improvement package makes it possible to transform disorganized data into useful information.
Analytical Customer Relations Management
Data Quality Improvement
A serious problem that companies encounter when analyzing their customer data is data that are not current, incomplete, or non-standard. OYTEK's Data Quality Improvement package makes it possible to transform disorganized data that is difficult to use into useful information that enables companies to make effective decisions.
The OYTEK Data Quality Improvement package consists of these modules:
Match & Merge of Customer Information
Special algorithms are employed to match and merge customer data coming from different systems.
Address Parsing
Using the Turkish Address Standard program, customers' addresses are sorted according to province, county, district, avenue, and street.
Tax Number Assignment
Customer data is automatically sorted by customers' tax registration numbers.
Socioeconomic Status Index Assignment
Socioeconomic Status Index assignments are made on the basis of parsed address data and associated square-meter land prices.
Postcode Assignment
Customer address information is automatically sorted by customers' postcodes.
Decision Support Systems
Under the heading of customer relations management, OYTEK provides a broad range of services in which data is collected, stored, and analyzed as needed.
Decision support systems can be designed to suit clients' exact needs and are structured so as to include one or more solution modules: Standard Reporting, OLAP Cubes, Data Mining, and Business Intelligence Portal.
Decision support system packages
Querying and Reporting
The Querying and Reporting package provides an interactive reporting process that can include anyone in a company's hierarchy, from senior managers on down, who needs to have access to reported information.
Online Analytical Processing
Online analytical processing (OLAP) is an approach to provide quickly the answer to complex analytical queries. Databases configured for OLAP employ a multidimensional data model, allowing for complex analytical and ad-hoc queries with a rapid execution time.
Statistical Analyses & Projections
Data Mining
Data mining is the practice of automatically searching large stores of data for patterns. To do this, data mining uses computational techniques from statistics and pattern recognition.
Data warehouse systems make it possible for operational systems to protect their performance by developing similar reports on separate platforms. They can also be employed to simultaneously view data coming from different operational or external systems and to develop reporting competencies as well. In such cases it is also possible to formulate new reports or consolidate existing ones.
In addition, a relational data model needs to be created according to one's objectives in order to carry out higher-level projects such as setting up advanced decision support systems, customer segmentation, campaign management, real-time personalization and channel-product-personnel-customer profitability.
Data warehouse package
Identify business goals and discover information.
Examine data resources and their architecture. Make data transformations as needed.
Develop a logical data model.
Prepare a customer-focused logical data model that incorporates essential details and summarized information according to the client's objectives. Match source data structures with the logical data model.
Design an architectural structure and set up the data warehouse.
Finalize the frequency, means, and methods with which data is to be imported from data sources. Prepare initial and incremental data loading applications.
Campaign Management
The campaign management system allows campaigns directed at targeted customer groups to be carried out while also coordinating several simultaneous campaigns involving different channels. The system makes it possible for campaign return on investment (ROI) to be reliably measured and to monitor a campaign's history on a customer basis.
Effective campaign management results in lower campaign costs, higher rates of ROI and more successful campaigns. The results of one campaign can also be used by the system as an input for the next one.
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