A Decision Support System (DSS) is a data-driven and interactive computer-based system designed to improve the decision-making processes of an organisation or business. These systems help managers or decision makers to evaluate various alternatives and make the most appropriate decisions by analysing the collected data and functions such as scenario creation, modelling, comparison and reporting.
The main purpose of KDS software is to help managers or decision makers solve complex problems faster and more accurately. Thanks to data analytics, information obtained from large and diverse data sources can be processed with statistical models and artificial intelligence techniques to make forecasting, trend analysis and scenario modelling. In this way, organisations can foresee the risks they may face in the future, identify areas of opportunity and gain competitive advantage by improving their processes.
The aim of data analytics is to help managers or decision makers solve complex problems faster and more accurately. Thanks to data analytics, information obtained from large and diverse data sources can be processed with statistical models and artificial intelligence techniques to make forecasting, trend analysis and scenario modelling. In this way, organisations can foresee the risks they may face in the future, identify areas of opportunity and gain competitive advantage by improving their processes.
Finance and Banking
Credit risk analyses: Evaluating customers’ credit ratings and accelerating the lending process.
Investment portfolio management: Monitoring markets and developing investment strategies.
Fraud detection systems: Detection and prevention of fraudulent transactions.
Health Sector
Diagnosis and treatment planning: Analysing patient data to provide personalised treatment recommendations to doctors.
Patient monitoring: Monitoring data about the condition of patients in real time and making instant decisions.
Hospital management: Improving administrative decisions from bed planning to staff scheduling.
Production and Industry
Supply-demand planning: Optimising the quantity and timing of production with realistic forecasts.
Materials management:Manage raw material stock levels and supply chain processes effectively.
Maintenance and breakdown forecasting: To make preventive maintenance decisions using performance data of production machines.
Logistics and Supply Chain
Route optimisation: Planning delivery and distribution processes in the most efficient way.
Inventory management: Instantly monitor warehouse stock levels, lead times and demands.
Demand forecasting: Improving supply planning by anticipating future customer needs.
Retail and E-Commerce
Product pricing strategies: Making dynamic pricing decisions based on demand and competitor prices.
Customer relations and loyalty management: Creating personalised campaigns by analysing customer data.
Store positioning: Determining new store or warehouse locations according to potential customer density areas.
Energy and Natural Resources
Demand and supply management: Balancing the production and consumption of resources such as electricity and natural gas.
Investment planning: Making investment decisions for power plants or renewable energy facilities.
Infrastructure management: Planning for grid reliability and maintenance activities.
Public and State Institutions
Policy development: Conducting impact analyses of social, economic or environmental policies.
E-government services: Improving service capacity by anticipating citizens’ needs.
Emergency and disaster management: Preparation of emergency plans for disaster scenarios and planned use of resources.
Decision Support Systems support strategic and operational decisions in many sectors by combining with technologies such as data analytics, artificial intelligence, machine learning and big data. In this way, while increasing the competitiveness of businesses, it becomes possible to provide better quality service to customers and stakeholders.
One of the most commonly used tools in these systems is spreadsheet software such as Microsoft Excel, because it is powerful for data analysis and visualisation. In addition, programming languages such as R and Python, used for data mining and business analytics, are popular thanks to their extensive library support.
For big data analytics, platforms such as Apache Hadoop and Spark are favoured, especially when working with large-scale datasets. In addition, visualisation tools such as Tableau, Power BI and Qlik allow decision makers to easily make sense of data. For database management and querying, systems such as SQL, Oracle and MongoDB stand out.
Advantages of decision support systems in businesses:
Fast and Accurate Decision Making: These systems provide managers with the opportunity to make accurate and fast decisions by analysing large data sets. It produces effective solutions especially in complex problems.
Increasing Efficiency: It saves time and cost by optimising processes. In this way, businesses can use their resources more efficiently.
Risk Management: By identifying possible risks in advance, it shapes decision-making processes accordingly and minimises the risks of businesses.
Providing Competitive Advantage: It helps to make strategic decisions by analysing market trends and increases the competitiveness of businesses.
Supporting Teamwork: It facilitates information sharing between various units, thus improving cooperation and coordination.
Long Term Planning: It enables setting strategic goals and making long-term plans.
Our priority is to meet the needs and expectations of our customers.
At Dmax Health, we would like to share the success we have achieved in medical tourism by using “mez eSoft CRM.” Thanks to this platform, we effectively manage the leads and forms we obtain through Facebook and AdWords.
D-MAX Health
Medical Tourism Agency
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Prof. Dr. Abdullah Armağan
Urology Specialist
The system allows me to record in detail the information of patients added manually and access this data easily. It also greatly simplifies appointment planning, helping me organize operations in my clinic more effectively.
Doç. Dr. Erdem Güven
Aesthetic and Plastic Surgery Specialist
I’d like to share a few words about the services provided through the mez eSoft CRM system. This platform enables effective work on business processes and projects. We have a smooth experience in critical areas such as report tracking, calendar management, and monitoring patients coming from ads.
Op. Dr. Gokhan Serbes
Neurosurgery Specialist
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Prof. Dr. Sevim Çakmak
Ophthalmology Specialist
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Prof. Dr. Adem Dervişoğlu
General Surgery Specialist
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BBD Akademi
Barış Buğra Demir
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Prof. Dr. Adalet Demir
Thoracic Surgery Specialist
By tracking the leads and forms we obtain through Google Ads and Facebook within mez eSoft CRM, we manage our business processes more effectively. The system allows us to store patient contact information securely and makes it easy to reconnect with older data.
First Class Esthetic
Medical Tourism Agency
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