Essays about: "evaluate CRM performance"

Found 5 essays containing the words evaluate CRM performance.

  1. 1. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Klara Larsson; Freja Ling; [2023]
    Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

    Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE

  3. 2. Investigative analysis of CRM System Implementation and the challenges attached to its integration into existing ERP System. From an Organization Perspective : A case study of a Freight Forwarding Company in Sweden

    University essay from Högskolan i Jönköping/IHH, Centre of Logistics and Supply Chain Management (CeLS)

    Author : Kingsley Fredrick; Danielle Christopher; [2019]
    Keywords : ERP; CRM; Relationship Management; Freight Forwarding Industry; Customer Satisfaction;

    Abstract : Enterprise Resource Planning and Customer Relationship Management are two essential concepts in the global supply chain. These aspects are considered to be the backbone of organizational success as they ensure that the upstream and downstream members of the chain are working effectively to deliver services that meet the standards and the customer’s requirements. READ MORE

  4. 3. A Comparison of Relational and Graph Databases for CRM Systems

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Victor Winberg; Jan Zubac; [2019]
    Keywords : SQL; Neo4j; graph databases; relational databases; databases; benchmark; CRM; Technology and Engineering;

    Abstract : In an age of increasing usage of heavily interconnected platforms, graph databases have increased in popularity due to their ease of modelling these systems. This thesis will evaluate if the graph database Neo4j can be used to model Lime's CRM System efficiently by comparing the performance of Neo4j and MS SQL on queries similar to those existing in Lime CRM. READ MORE

  5. 4. CRM: Software as a Service versus On-premise – benefits and drawbacks

    University essay from Lunds universitet/Institutionen för informatik

    Author : Thanawin Ratametha; Manasa Veeragandham; [2009]
    Keywords : Customer Relationship Management; CRM as a Service; CRM on-demand; Cloud computing; Software as a Service; On-demand software; SaaS’s benefits and drawbacks; CRM as a Service’s benefits and drawbacks; Informatics; systems theory; Informatik; systemteori; Mathematics and Statistics;

    Abstract : Nowadays, most of organizations try to find the best solution to improve their business processes by using advantage of technologies, which are always developing to replace the mistake of traditional version, one of the most critical evolutions in technology system is Customer relationship management (CRM). CRM stakeholders who implementing CRM system or plan to implement CRM system had faced a lot of uncertainty in new technology, in this case, our focus is on CRM as a Service solution. READ MORE

  6. 5. Data Mining Analysis and Modeling for Marketing Based on Attributes of Customer Relationship

    University essay from Matematiska och systemtekniska institutionen

    Author : Xiaoshan Du; [2006]
    Keywords : computer science;

    Abstract : With the rapid growing marketing business, Data Mining technology is playing a more and more important role in the demands of analyzing and utilizing the large scale information gathered from customers. To predict the consequent business strategy by using Data Mining, the Customer Relationship Management (CRM) nowadays is required to evaluate the customer performance, discover the trends or patterns in customer behavior, and understand the factual value of their customers to their company. READ MORE