data mining techniques enable NDIS providers to better decisions
Posted: Mon Dec 23, 2024 9:32 am
Data mining is a powerful, new and emerging technology with great potential in information systems. It can be best defined as the automated process of extracting useful knowledge and information from large or complex data sets that are not classified. The knowledge discovered by data mining techniques would enable NDIS and Aged Care Service providers in making better decisions, having more advanced planning in services and enabling to allocate resources and staff more effectively. It results in improving the quality, effectiveness and efficiency of the processes.
Data mining has gained popularity in various iceland phone code CRM applications in recent years and the classification model is an important data mining technique useful in the field. Data mining is defined as a process that uses mathematical, statistical, artificial intelligence and machine learning techniques to extract and identify useful information and subsequently gain knowledge from databases. Information technology tools, advanced internet technologies and explosion in customer data has improved the opportunities for marketing and has changed the way relationships between organisations and their customers are managed.
Keywords: CRM; data warehouse, NDIS, quality data, customer relationship management, NDIA, My Aged Care.
Including a Google Slide Show at the end of this post please view here or share with coworkers.
Want to speak to our friendly Digital Business Architects yo see FlowCRM a mobile-friendly Social CRM solution or book a FlowPoint a client self-service portal webinar please call us on 1300 552 166! Alternatively send an email to our friendly Digital Architects. We will get back to you shortly.
Data mining has gained popularity in various iceland phone code CRM applications in recent years and the classification model is an important data mining technique useful in the field. Data mining is defined as a process that uses mathematical, statistical, artificial intelligence and machine learning techniques to extract and identify useful information and subsequently gain knowledge from databases. Information technology tools, advanced internet technologies and explosion in customer data has improved the opportunities for marketing and has changed the way relationships between organisations and their customers are managed.
Keywords: CRM; data warehouse, NDIS, quality data, customer relationship management, NDIA, My Aged Care.
Including a Google Slide Show at the end of this post please view here or share with coworkers.
Want to speak to our friendly Digital Business Architects yo see FlowCRM a mobile-friendly Social CRM solution or book a FlowPoint a client self-service portal webinar please call us on 1300 552 166! Alternatively send an email to our friendly Digital Architects. We will get back to you shortly.