A Review-: Benefits and Critical Factors of Customer Relationship Management

Customer Relationship Management (CRM) is a technical jargon which is a blend of methodologies, software and internet, which are used by a company to achieve its goal through the identification and satisfaction of customer2019;s stated and unstated needs and wants. This software addresses customer life cycle management. This system manages company interactions with current and future customers. It involves technology to organize, automate and synchronize business processes. CRM application is an essential tool for a company to grow and help to increase the satisfaction of customers. There are many benefits of CRM; those make the market environment customer centric. In this paper, we reviewed previous studies and identify those benefits which affect customers and company both. But CRM has many problems also because of them CRM gets failure. Its failure rate is more than its success rate. We also elaborated its failure factors and along with them its critical success factors which help in making CRM a successful project for a company, however implementation of CRM is a complex task

A method to support SMEs to optimize their manufacturing operations

In the last decades the gap between enterprise systems, like Enterprise Resource Planning (ERP), and process control systems has been filled with the development of software systems, commonly referred to as Manufacturing Operations Management (MOM). The ISA-95 standard provides a detailed functional description of this intermediate layer in the CIM pyramid. This standard supports manufacturing companies, system integrators and software vendors by using the same terminology in their communication for integrating their enterprise and control systems. Most of the time, these software systems address bigger companies which are convinced of the strategic advantages for their MOM projects: reduction of risks, costs and errors. This paper introduces an analysis and justification method that reduces the barriers to adoption of MOM systems for small and medium enterprises (SMEs). By applying the method an SME gets an idea of the possible improvements for the materials and information flow required for the production of goods or services

Dimension Reduction in Big Data Environment-A Survey

Relational database management system is able to tackle data set which is structured in some way and by means of querying to the system user gets certain answer. But if the data set itself does not lie under any sort of structure, it is generally very tedious job for user to get answer to certain query. This is the new challenge coming out for the last decade to the scientists, researchers, industrialists and this new form of data is termed as big data. Parallel computation not only from the concept of hardware, but different application dependent software is now being developed to tackle this new data set for solving the challenges generally attached with large data set such as data curation, search, querying, storage etc. Information sensing devices, RFID readers, cloud storage now days are making data set to grow in an increasing manner. The goal of big data analytics is to help industry and organizations to take intelligent decisions by analyzing huge number of transactions that remain untouched till today by conventional business intelligent systems. As the size of dataset grows large also with redundancy, software and people need to analyze only useful information for particular application and this newly reduced dataset are useful compare to noisy and large data

What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software

This paper was the first initiative to try to define Web2.0 and understand its implications for the next generation of software, looking at both design patterns and business modes. Web 2.0 is the network as platform, spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it, consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others, creating network effects through an "architecture of participation," and going beyond the page metaphor of Web 1.0 to deliver rich user experiences

Dual licensing in open source software markets

Dual licensing has proved to be a sustainable business model for various commercial software vendors employing open source strategies. In this paper we study the main characteristics of dual licensing and under which conditions it represents a profitable commercial strategy. We show that dual licensing is a form of versioning, whereby the software vendor uses the open source licensing terms in order to induce commercial customers to select the proprietary version of the software. Furthermore, we show that the software vendor prefers dual licensing to a fully proprietary strategy when the customers are very sensitive to the reciprocal terms of the open source license