Answer:
A class is an instance of its object
Explanation:
Answer: On the same page
Explanation:
The CRM is basically stand for the customer relationship management that are design to support all the relationship with the customers. It basically analysis the data about the customers to improve the relationship and growth in the organization.
All the employees in the organization are directly and indirectly server the customers are basically o the Same page by the individual computers.
The CRM approach are basically compile the given data from the different communication source such as company website, email and telephone.
The answer is C: Cloud computing is a service, and SaaS is a platform.
Cloud computing and SaaS are closely related terms, but are different. Cloud computing consist of infrastructure and services and can be described as the delivery of computer services like, storage, databases, servers, and more over the internet. On the other hand, SaaS can refer to as a software delivery model licensed differently to on-premise applications and provide users with access to a vendor’s cloud based web applications or software.
A DSS uses software that allows managers to more fully utilize available information to assist in making decisions is the primary difference between a Marketing Information System (MIS) and a Decisions Support System (DSS).
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Explanation:</u></h3>
A management information system that helps the marketers in making important decisions that are related to the marketing fields refers to the marketing information system. It is the system where the information that are associated with the marketing will be gathered and analysed for making important decisions by the marketing managers.
The information system that helps an organisation in making important decisions are called as Decision support system. The main thing that differentiates MIS and DSS is that A DSS uses software that allows managers to more fully utilize available information to assist in making decisions.
Answer:
Explanation:
Hadoop clusters can boost the processing speed of many big data analytics jobs, given their ability to break down large computational tasks into smaller tasks that can be run in a parallel, distributed fashion.
