¶ … organizations can do to protect client data comprehensively and how they do this. It will also examine the most common forms of data customers generate, and take a look at some of the contemporary hardware and software that organizations protecting and handling data in the cloud use presently.
Common Types of Customer Data
Data Identity:
The individual is at the core of any database, so gaining an insight into how a person is, and having the ability to maintain a homogenous point-of-view for customers is the first step in the identification of data. This should embrace all the information that can make it possible for a person to be specially identified (Roberts, 2013)
Such information should include:
Personal information -- Date/place of birth, gender etc.
Postal Address -- Address line, street, name of building, number of building etc.
Identity -- Title, first name (Surname), forename, designation, letters etc.
Contact -- Work telephone number, home number, mobile number, email addresses both official and personal
Information about social platforms -- LinkedIn, Facebook, Instagram, Pinterest, Twitter and so on.
Job information -- Job description, company name, department etc.
Suppression and permission data- this is not distinctly an element of identity data but it is equally crucial in determining reasons for not communicating or suppression and permission to use the information.
Account information -- IDs, user IDs, and other details of you client accounts
Quantitative Data:
The next important element once it is clearly understood who the individual is, to try to understand how the client behaves, reacts or transacts with the firm. This is to facilitate acquisition of operational data that is measurable. Any activities completed or transacted between the business and the customer should be integral to this information (Roberts, 2013):
Communication information -- outbound and inbound: These should include channels of communication, dates, click throughs, opens and so on.
Online activities: products viewed, online registrations, and websites visited etc.
Transaction information (offline and online) Number of products viewed, actual products purchased, order renewal dates, abandoned baskets or products never actually purchased, products returned and subscription or order value etc.
Social Network Activity -- Tweets on Twitter, Facebook likes, etc.
Customer Services Information -- Customer query details and complaint details etc.
Descriptive Data:
A good market database starts with understanding the type of activities that the customers complete and getting to understand clientele personalities (Roberts, 2013).
It is equally important to gain a comprehensive insight of any additional profile information that the customer might have. This should furnish the firm with further information about the client beyond the quantitative and identity details including but not limited to:
Lifestyle details- type and number of cars, the kind of property they own, pets, and hobbies etc.
Career information: educational standards, professional ambitions, and current designation.
Family information: number of children, marital status, the age of children etc.
Qualitative Data:
The final type of data that one is likely to encounter pertains to the potential behavior of the customer, and further descriptions of the client. This is often generated in form of a questionnaire that details facts such as their opinion and motivations (Roberts, 2013):
Motivational insights answers questions such as why the product was purchased, that is for personal use or as a gift for another person, and the main reason why the product was purchased, that is in terms of locality, quality and price.
Opinion regarding their favorite holiday destinations, the restaurants they frequent and their preferred holiday destinations.
Information about attitude such as how they rate the product's value, their view of the customer service and how likely they are to make a repeat purchase.
Cloud Computing Technology
By simple definition, cloud computing simply refers to retention and protection of data in cyberspace. It can also be called internet computing because the internet is sometimes called the cloud. This is the origin of the term -- cloud computing -- because it entails computing that takes place over the internet. It is a very convenient form of using computers because it enables internet users frees access to their data regardless of their location, when they need it and how they want it without worrying about storage devices or management and maintenance of any external resources. More important is the fact that databases retained in the cloud are highly scalable and dynamic. It is a form of computing that is much more advanced than automatic computing, utility computing or grid computing (Kumari et.al).
In terms...
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