INFORMATION MANAGEMENT IN CONTACT CENTER BY ESTABLISHING AND USING INTERMEDIATE INFORMATION POINT



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INFORMATION MANAGEMENT IN CONTACT CENTER BY ESTABLISHING AND USING INTERMEDIATE INFORMATION POINT Roman Domovic, Sanja Duk Polytechnic of Zagreb, Department of Informatics and Computer Science, Vrbik 8a, Zagreb, Croatia E-mail: roman.domovic@tvz.hr, sanja.duk@tvz.hr Abstract This research examines a model of information system and information management within technical support organization in contact center in overload situations. Overload occurs when a new product or service is launched on the market. In that case there is an increasing pressure on technical support employees and infrastructure. As a consequence, standard solutions cannot provide necessary quality service. Because of that, a new model is proposed. Information management is provided through information system modification by establishing an intermediate information point. Our goal was to reduce overload in contact center, with focus on AHT. A new model has accomplished given goal. Positive results were obtained with a tendency of growth and numerous other benefits were achieved. Key Words: Intermediate information point, Contact center overload, Information system, Business intelligence, Information management, AHT INTRODUCTION With occurrence of competition in mobile phone and mobile internet industry, the need for better customer support has developed, as one of means for keeping current customers and attracting new ones. Almost every telecom company wants to have a leading position in market and industry development, to assure high quality, innovative and customer oriented services. With development of technology, many new products, devices and services appear on the market. Quality technical support has become one of the major requirements which link new technology and products with customers. Providing customers with information and solutions in a simple, fast and efficient way has become a mission of many telecom companies. To fulfil that mission, high quality professional service should be ensured, taking into account cost and benefit of the company. To achieve this goal, efficient information system and high level of motivation of company employees are essential. In achieving and maintaining that efficiency and motivation, two segments are particularly highlighted: provision of information necessary to perform the job well and employees development through training and motivational programs. The basic parameter which shows the efficiency of a call center is service level the percentage of calls that will be answered in the specified number of seconds. In normal conditions, service level is usually kept within the given parameters. In situations where a recent launch of new equipment and related services on the market causes conditions that are no longer optimal, there is significantly increased number of calls of technical nature that cause overload in call center which can be time-consuming. Consequently, efficiency and cost-effectiveness decrease. This paper presents a modification of information system and information management which makes it possible to reduce the long term overload, and consequently increases efficiency and reliability, keeps the system cost-effective and brings numerous other benefits. 1

Information System in short Information system is a system that has a purpose to deliver the right information to the right place in the right time. Information must be delivered in the right format with minimal expenses. Main functions of an information system are data collecting, data processing, data storage and data distribution. Information system is composed of four interconnected elements. The elements are hardware, software, lifeware and orgware. Hardware are physical components such as computers, communication devices and cables. Software are computer applications and operating systems. Lifeware are people who work with information technology as ITC professionals or users. Orgware are organisational processes and protocols that join previously mentioned three elements into a harmonious whole. Contact Center Information System A common organization of technical support in contact center is a system with two levels of service: a) first level at which contact center agents receive calls and resolve them according to their capabilities, b) second level where agents who are specially trained to solve technical problems, take on cases that could not be resolved at the first level. Information circulates from marketing and customer relationship management (CRM) through the information management to the customer service department. Information, data and knowledge are stored in different databases, data warehouses and knowledge bases, and run through specialized applications. Overall performance is monitored by specialized monitoring tools, and workforce management is done through specific business intelligence tool. Business Intelligence and Workforce Management Business intelligence (BI) combines products, technology, and methods to organize central information that management needs to enlarge profit and improve performance. This includes business information and analysis which are used in the context of key business processes, to support decisions and actions leading to improvement of business performance. Accordingly a business intelligence system can be called a decision support system (DSS). Business intelligence is a data-driven DSS that combines data gathering, data storage, and knowledge management with analysis to provide input to the decision process. The term originated in 1989; prior to that many of its characteristics were part of executive information systems. It uses a large database, typically stored in a data warehouse or data mart, as its source of information and as the basis for sophisticated analysis. Analysis range from simple reporting to slice-and-dice, drill down, answering ad hoc queries, real-time analysis and forecasting. A large number of vendors provide analysis tools. Workforce management (WFM) includes all the activities required to maintain a productive workforce. It is the process by which we ensure that our customer service has the adequate person with required skills in the right place at the right time - whenever and through ever channel customer chooses to contact us. The basis which supports this process are real-time and past information (an all-in-one easy to access screen, real-time statistics which staff needs to always be up to date), customer based forecast (that helps us predict future staffing requirements for all customer facing workflows), involved agents (all levels of the organization must be involved in the process of managing the workforce, so that such individual requirements can also be processed), optimized scheduling (to ensure the right number of people to meet our goal) and performance management (monitoring results to ensure that they meet pre-set goals and to take action if necessary). Reducing Overload by Establishing Intermediate Information Point (IIP) Modification of the standard model of contact center information system and information management was conducted in the Croatian mobile operator VIPnet d.o.o. in 2006. Major task 2

was to reduce average handling time (AHT). Our hypothesis was that overload can be reduced through optimal distribution of human and technical resources in a carefully planned way by establishing and using special operative segment of the contact center that we named intermediate information point (IIP). It hase a purpose to reduce overload in contact center, increase reliability of the information system and advance efficiency of the information management. As methodology for establishing intermediate information point, we used the method of system analysis of business information system development. With the method of system analysis, the development of business information system is done in five phases: analysis of the existing system, defining the requirements of the new system, designing a new system, developing a new system, implementing the new system. Intermediate information point is a team of 10 individuals with the greatest technical knowledge. Most of them also function as coaches. Their tasks are: a) providing educational support to the staff of the call center, b) providing technical support to users of ISP / GSM / GPRS / UMTS technology at the first level of the call center in real time, c) providing technical support for all devices in terms of testing, finding difficulties in their work and finding solutions to problems, d) receiving, processing, organizing and distributing technical information which are necessary for employees to perform their job and for customers to use devices and services, e) devising innovative solutions and processes within the technical support. The expected benefits of establishing an intermediate information point are: lower AHT as primary target, increased number of first call resolutions (FCR), less waiting time per answering agent, in relation to this increased availability, quality, fast and efficient information processing (reception, processing, structuring and systemizing, recording, distribution), more uniform distribution of calls, greater knowledge of technology among the first level agents, more quality information given in the shortest timespan, increased satisfaction of agents, reduced number of reported difficulties which can not be resolved at the first level and positive impact of company revenue. This kind of approach to solving the overload does not generate any new charges because it uses existing human and material resources. There is no need for reorganizing the entire department, only to form team of, in our case, ten individuals as special task force that operates within the same organization. Substantial change to the schedule is not required (minimum corrections - minimal impact on workforce management). Time spent on off-phone activities gives increased benefits to all segments of contact center. The emphasis is on utilization of resources that are available through the equipment, knowledge and skills of the people that form the operational group in all possible ways, in order to obtain the maximum. Tasks for development of new model are divided into sections: 1) the definition of tasks, 2) drafting the organization of work and allocation of manpower, 3) creation of working materials, 4) forming procedures and protocols. Work tasks are defined according to the requirements of the job. They are: a) collecting, processing and distribution of information related to devices and supporting services, b) the supply of devices which are placed on the market, testing devices, detection of difficulties in their work and dealing with them, creating guidelines for the usage of devices, c) development of educational programs, d) carrying out education and training in the form of short on-job trainings or arranged meetings for longer education and training, e) answering incoming calls and e-mails of employees, the so-called consultations, f) answering incoming calls and e-mails of users, g) conducting the administration for all of the above. When drafting the organization of work and allocation of manpower, it is essential to define such an organization that will not have a negative effect on the current situation, but will lead to improvements. It means to determine how many agents in a given time must be deployed on phones and provide a basic form of support, and how many may be used off phones for other defined tasks. Shifts and possible other tasks that some individuals have regardless of technical support should be considered. For the organization and optimization of time and 3

people needed to carry out specific tasks, a specialized software created specifically for these tasks is required. As software support for the project, we used a software-tool Teleopti CCC. It is a tool based on past data, data about future events and data obtained using business intelligence which predicts manpower distribution for all tasks. It is used as a basic tool in the WFM. Teleopti CCC offers a complete array of powerful functions and workforce to ensure customers the highest level of efficiency from their back office or retail staff, while at the same time providing the tools to influence their unique work / life balance. This tool offers a powerful data warehouse reporting solution that can easily be integrated into existing reporting solution for business intelligence. Proper routing of calls to adequate technical agents is realized by implementing a new team to the existing Avaya system. Working materials are all the instructions, troubleshooting brochures, diagrams, presentations, documents, administration, mail and templates in written or electronic form, and the web site of the team with implemented forum and chat. The most important working material is a knowledge base in the form of web pages. Part of a new knowledge base was made that on average reduced search for information within the interval up to one minute, which is significant for an average call lasting a few minutes. The knowledge base was connected to the Oracle database. In addition to written work materials, a remote computer was constructed and attached to all devices for transferring data, with implemented software for each. Each agent can use remote access to connect to remote computer and lead the user to a solution of the problem, while having user on the phone line. Agent can simulate real customer problems and solutions in real time. Only one person can be connected to the remote computer at the same time. To avoid situations in which second person automatically cuts off the previous user from a remote computer in the midst of helping the user, Excel table was created in which each agent enters the start time of using the remote computer, end time and information whether the problem was solved by using the computer or not. The next agent who wishes to connect to the remote computer must first check the table. Some business processes require fundamental set of rules in form of protocols and a series of procedures to determine ways to solve any queries or problems. They are created with the purpose of unifying working procedures in order to avoid different treatment of the same type of query or problem. Drafting of protocols is executed by using a flowchart. A flowchart of entire process is drafted and described in a normal language. Once the protocols are done, they are inserted in a knowledge base to be easily available to everyone. Other than protocols for quality control, protocols describing how and when performance evaluations will be conducted are also required. We started introducing new and restructured working materials and training immediately after their preparation. They were employed on a daily, weekly or monthly basis released into the work. For each material a feedback was requested in order to improve it. Results The following examples show the effect of activity on AHT, especially for the provision of services MMS (Multimedia Messaging Service) and the VMC (Vodafone Mobile Connect Card). Chosen as initial value is the mean-aht in the first five months of 2006. when intermediate information point was still in the proces of implementation. As the final value we monitored mean value of AHT in period of next six month when intemediate information point was fully operational and applied. Services related to the MMS encompassed the following components: verification of the input settings, manual settings, receiving messages, sending messages, general settings, sent alternate settings and the automatic settings. Services at VMC contained the following: the use of networks, the installation / deinstallation, performance and hardware failures, price / actual promotions, roaming and general questions 4

about the product. AHT for services related to MMS decreased from 2074.49 sec to 1930.79 sec, total of 143.7 sec or 6.92 %, as seen in table 1 and chart 1. For VMC services, AHT decreased from 3022.75 sec to 2817.37 sec, total of 205.38 sec or 6.79%, as seen in table 1 and chart 2. The charts show a tendency to reduce AHT throughout the year. Figure1: Chart 1 MMS Figure2: Chart 2 VMC Table 1 MMS and VMC Initial Value (sec) Final Value (sec) Difference (sec) Difference (%) MMS 2074.49 1930.79 143.70 6.92 VMC 3022.75 2817.37 205.38 6.79 Other that numerical data, which is the best indicator of the effectiveness of the project, many other positive effects are the consequence of the introduction of a intermediate information point. Some of the significant positive effects are as follows: a positive influence on knowledge and satisfaction of agents and customers, increased FCR, decreased number of second level trouble tickets, positive impact of company revenue. Conclusion After five months of planned activities, the introduction of an intermediate information point proved to be effective. All expected benefits were achieved, performance was improved with a tendency to continue improving, while not single weak point has been shown. In this case it was found that with a purpose of improving long-term performance in situations of overload by reducing it, it is better to withstand short term, slightly weaker performance (which is already weak) until new solution is implemented in all predicted segments. With optimal distribution of human and technical resources in carefully planned tasks, positive results were obtained with a tendency of growth. In order to receive positive results in the future, it is necessary to anticipate developments, and in case of failure of the basic plan there should be at least one contingency plan. References 1. Incoming Calls Management Institute (2001); Call Center Operations Management Study Guide: CIAC Module Two; Version 1 2. Rainer, R.K., Turban, E. (2008); Introduction to Information Systems: Supporting and Transforming Business; Wiley, 2 edition (pp. 6-133) 3. Reynolds, P (2003). Call Center Staffing: The Complete, Practical Guide to Workforce Management; The Call Center School Press 4. Simovic, V. (2009); Informacijski sustavi i menadzment. Skripta za predavanje. Zapresic : Visoka skola za poslovanje i upravljanje s pravom javnosti Baltazar Adam Krcelic 5. Williams, S., Williams, N. (2006). The Profit Impact of Business Intelligence; Morgan Kaufmann; 1 edition 5