Information needs to be readily available to both customers/colleagues and service partners in order to maintain high standards of customer service and build customer confidence. Delays in providing information could result in customers losing interest or damage our reputation causing customers to take their business elsewhere. 4.4 Evaluate the organisational procedures and systems for delivering customer service The organisation has set procedures and systems in place to support all our processes and help maintain expected service standards and service levels. All our procedures are detailed on the company intranet and our regularly reviewed and updated by our service improvement team. You can find step by step instructions for all process to help guide advisors and develop their confidence.
The best solution to cope with this problem is mutual client isolation. That is isolating virtual data and network communication. 2. Information Assurance and Data ownership Information assurance concerns in cloud computing involve CIA( Confidentiality, Integrity, Availability), Authenticity and Authorized use. In cloud computing, data belonging to a client is maintained by a Cloud Service Provider (CSP) who has access to it but is not the legitimate owner of the data.
These data increase more and more and it is difficult to retrieve the actionable information from traditional data warehouse in the near real-time (Hafez, 2010). As the technologies are growing, people can find the information for the best vendor using the internet. Therefore it is important to provide the best customer service to get the new customers and keep the existing customers. Organizations need to measure their performance on business process to succeed continuously. The integration and analyzing of whole organization’s knowledge and information into the actionable information lead to the long-term success for these organizations.
There are three phases of customer knowledge management, the first phase is the collection and verification of customer data, next is the analysis of customer data, and third, the use of customer data for specific marketing strategies. According to Zanjani, M. S.,(2008), one of the most basic foundation for improvement in customer value is customer knowledge. This is to ensure an organization would be more well-organized and operational in providing products and services to customers, and nevertheless would able to develop customer satisfaction. Customer knowledge is also being a big role for the organization to manage and provide the customer needs by doing the collection and verification of customer data as its first phase. This is due
In today’s world technology has proven to behave as the medium through which businesses function. Allowing them to use technology as a competitive advantage by using business information systems (BIS), which is defined as the channel through which people, information technology and businesses are connected. (Gunasekaran, 2013) The significance of business oriented information systems is based on the increased speed of gathering and distributing information. Furthermore, since information is accurate, tailored to specifications and is up-to-date, the process of decision improves and is taken faster. For instance, business information systems are capable of preparing cost estimates and forecasting reports for analysis.
It is very important to focus on the way data is entered, stored and managed. Data categories such as master data and transactional data are essential for the smooth operation of a firm. Master data represent business elements that are common in more than one transactional application. Master data describe people such as customers, employees, vendors, products such as name of the item, color, size, flavor, weight, volume, brand and location such as store, depot, delivery location, sales territories. The quality of the data must focus on the accuracy and reliability.
INTRODUCTION In every industry, in each portion of the world, senior leaders wonder whether their business are getting a total value from the massive amounts of information they already have inside their organizations. New technologies are gathering more data than ever before, so far many organizations are still looking for better means to gain value from their data and play in the marketplace. Their questions about how best to achieve value persist. Information is the soul of every successful, profitable and clear business in the world. Something that is as true nowadays as it was before.
How to achieve a single customer view: The answer to this question may differ based on the structure of the organisation, while the principles continue to remain the same and are as follow A. Agreeing to rules – This has to be the starting point, set and agree to the rules and processes upfront to ensure it remains same across the organisation B. Data cleansing and validation rules – Data cleansing is an important first step, standardising the data maximises the chances of finding a match C. De-duplication – Once the data is cleansed it easy to remove the duplicates based on a bespoke algorithm to produce required
Highly advanced technological and data analysis tool may be required to effectively achieve the fraud risk management goals of the entity. Most times, simple technology of rule-based solutions may not be sufficient to help entities achieve fraud risk management goals. Identifying the specific fraud related issues in a company can help in focusing the efforts on identifying and implementing a tailored technology solution. This is vital as retailers normally operate in an environment that is rich in data such as data from daily transactions and activities in accounts payable, sales projections, purchasing, warehouse movement, POS, employee shift records, returns and store-level video and audio