Analysis Of Communications Service Providers ( Csps )

In customer service, the telephone is the second most important link (Lucus, 2015). Modern business use telephones in their day-to-day operations and to communicate with both internal and external customers (Lucus, 2015). Traveling to meet with customers and vendors face to face can be expensive and time-consuming (Lucus, 2015). With the technology of today, you can dial a telephone number or type a text into a cell phone and connect to a customer or vendor half-way around the world almost instantaneously (Lucus, 2015). With fax machines and computer modems, documents and information can be sent in a matter of minutes to customers and vendors miles away (Lucus, 2015). With all those tools, readily available more companies have set up both inbound and outbound telephone staffs (Lucus, 2015). Companies are expanding their customer contacts and are more likely to reach total customers satisfaction through those types of trained specialist (Lucus, 2015).

To examine how customer service is linked to technology, it is important to define customer service and explore what comprises customer service. As there have been many attempts to explore customer service to specific industries, it is important to explore common trends among varying industries, quality of service, trust, and loyalty. These common trends among varying industries allow for a clearer understanding in defining customer service.

In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.

In your business, you have your own big data challenges. You have to turn heaps of data about various entities into actionable information. The reporting needs of institutions have evolved from simple single subject queries to data discovery and enterprise-wide analysis that tells a complete story across the institution. While the volume, variety and velocity of big data seem overwhelming, big data technology solutions hold great promise. The way I see it we can use this as one of the biggest asset for the company. We have the capacity to see patterns recounting in real time across complex systems. Huron is marshalling its resources to bring smarter computing to big data. With the Huron big data platform, we are enabling our clients to manage data in ways that were never thought possible before.

Making better customer service, not surprisingly starts with understanding your customer. It 's very difficult to make a terrific customer service environment where customers only have one way to contact the business, spend a lot of time on hold, and then do not get satisfactory answer when the call finishes. Understanding by itself is not enough, though; since the customers ' needs are understood, it 's time to get together with the customer service team and figure out just how to address the points brought up in the understanding of the customer (Babin et al., 2015).

Big Data can analyze a customer’s purchases, profile information, and make an accurate prediction on what his/her interests will be. Big Data has the potential to be the phenomenal tool of the future. It can accurately predict what a customer wants and show advertisements that he or she is actually interested in; It can be installed in smart cars, where an automatic distress call is sent when an unlucky individual is in a car accident; It can be uploaded to devices that closely monitor people’s health and report any irregularities to their doctor.4

In this new digital world, expectations are increasing. Today, customers demand personalized, reliable and durable products and services, at the time and in the place they want them. And thanks to the large amount of data being made available by the billions of connected devices out there, it’s easier than ever before for businesses to meet these expectations. It’s because of these developments that I believe data is the new currency. (Chandrasekaran, 2015).

Wolfsen (2013) asserts that it will attract more customers as customers would like to get their service done in less time. To minimize the time of customers spending on purchasing, one of the most efficient way is through big data. Matthew (2014) suggested that the technology of big

Whenever a client interacts with a customer, a measureable degree of service is provided. Interaction with a customer over the phone requires an active awareness of the problem and seamless customer service across domains. Many companies require agents to adhere achievement statistics and procedures, which creates a standard. A combination of feedback from various levels of operations, will allow the call center agent to consistently output quality service. In this paper we will discuss the some of the processes that contribute to exceptional service in a call center environment.

Big data can help you gather pertinent information about your customers. It’s the foundation to acquiring the right customers. Learn more about your customers:

Qualified professionals that are able work on new technologies and to interpret data are limited. “Big Data” is a relatively new concept, consequently, there is a shortage of experts that can interpret the information of a business like Peter Mayer’s to get understanding of what the agency’s needs are.

In recent years, there has been an increasing emphasis on big data, business analytics, and “smart” living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for individuals, businesses, communities, and governments (McKinsey Global Institute, 2011). Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes exceed the capacity of current on-line storage systems and processing systems. Data, information, and knowledge are being created and collected at a rate that is rapidly approaching the exabyte/year range. But, its creation and aggregation are accelerating and will

This paper represents a detailed overview of the latest invention in the field of technology, “Big Data and Mobile Computing”. It is a qualitative research initiate mainly aimed at creating current inventions and innovations around the mobile phone technology along with the real examples of giant business organizations. These examples also critically involve the evaluation of related mobile data analysis methodologies and strategies. In the world of information technology, big data has been considered as the highly advanced feature which is affecting the vital sectors of IT industry and E-Commerce. It is perhaps the only term which is being discussed in recent years in almost every business field and organization ranging from the online retailers to the presidential campaign teams in order to transmit or seize the transformative potential of big data for the large scale positive changes. The research and analyst data have eventually showed that how the rapidly changing technology has created a reverberation in the vast field of information technology. The explosion of mobile phone technology is largely contributing to the IP data traffic and in order to collect, organize and manipulate such large data; big data is rather the best choice because of several reasons. However the prominent among them are its rapid scalability and

Business and customer service interaction have played a huge part in the great world we live in today. The opportunity for success in business wouldn’t be available if companies did not recognize the importance of treating customers’ right. Customer’s do not purchase from or support companies who do not deliver good service. There are many factors that can provoke poor Customer Satisfaction. The evolution of

Data is very critical for any organization. In an organization every by year massive amounts of data will be created and how fast your business reacts to that important information determines whether you succeed or fail. The big problem is how we efficiently handle the 3 V’s of Big Data.