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Wendy's International Case Study

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Read the description on page 57 of the book,"Wendy's International Relies on Text Mining for CEM," and answer the. Select one side of the argument as described and provide convincing points either in favor or against the proposal that an investment in text message collection and mining should be made even if no clear positive ROI (return on investment) from better execution can be determined in advance.

A healthy customer relationship plays a crucial part in the success of a business. In today's competitive marketplace, every organization wants to know whether its customers are satisfied with the company services or not and their views about the products and services. These all things can be done with a customer survey. Companies can get many benefits by surveying their customers. It is really an inexpensive way to get customer feedback which can help the company to improve customer retention, and customers' suggestion or their creative ideas can help to improve company's product or may help to launch a new product.

A company can survey its customers by several ways including text messaging,web-based feedback forms, social media, e-mail messages, call center notes and receipt-based surveys. Nowadays scenario has been changed. People are always on move, you are not able to see them sitting all the time in front of the computer. But most of all the people keep their mobile with them 24 hours a day. So when the company sends its customers survey questions through text message, the text message is arrived instantaneously on its customers' mobiles irrelevant to their place or time. Text messaging gives you a better or I can say best feedback option. Text messaging can help your company to increase productivity and growth. It is proven by many business persons, who gained profits in term of good ROI and even doubled their sales and revenue in one year. It is an easy way to get customer feedback for a survey form ,which is programmed on a computer. Customers has simply to give answers about their feeling about your company services and products through their mobile phones. All customers' comments and responses are collected, but most of them are in unstructured text format, not structured text format. It seems difficult for the company to put these unstructured feedback into a database and analyzed , as they can do with structured numeric text feedback. However, the major advantage of text feedback is that it is vigorous and precise. And it can be manageable by software called text mining.

A new generation of text mining software allows companies to get key information from unstructured text feedback and it can integrate it with structured data and can be analyzed for better answers. Text mining software automatically gathers half million text-based responses per year from unstructured sources such as text messaging, open-ended surveys, phone, e-mail messages, receipt-based surveys, call center notes and social media networks like Twitter and Facebook, and it analyzes them within minutes, which would be not possible to do manually. Text Mining software provides detailed information about customers experience and their views directly to company executives and business stakeholders. Text mining software helps companies to increase productivity, revenue and brand recognition by guiding them to improve in area fields like product quality, offering services, marketing and customer care.

Today, Text mining or text analytics is widely used for a huge variety of research, business needs and government. Text mining has exclusively been used by security firms, software companies, media field, biomedical firms, marketing field, education institutes and for sentiment analysis. There are some important factors which play a key role for succesful customer relationship management and better ROI. First, company which devotes to people, technologies and resources by gathering customers' feedback from different forms of surveys and gets the deep understanding of customers' views across corporation will always succeed to get better ROI execution. Second, Company that using a unique text mining software , is worth of its investment than to pay for coding service for survey, cost for delay result of survey and cost for poor quality work. This uniques text mining software helps company to review customer comments and get to know deeply and insights into customer needs, desires and problems. This technology must be compatible enough to work with company's existing technologies like CRM, DMBS , BI and existing and new data sources from different forms of customer feedbacks like text messaging, customer service , open-ended surveys and social media (Lopresti, 2010).

So, if a company has built the right infrastructure of data, people, resources, technologies and has understood insights of customers' views from the collection of unstructured format of text messages along with a correct way of using text mining software to gather and analyzed those data, then according to my opinion, that company will definitely has better execution of ROI.

REFERENCES:

Turban, Efraim. Volonino, Linda. 2011. Information Technology and Project Management. USA : John Wiley & Sons, Inc. page no. 57-58.

Vovici. 2012. Best Practices. retrieved from http://www.vovici.com/resources-web/best-practices/benefits-of-conducting-customer-survey.aspx

Rob, Drew. (2004, June 21). Text mining tools take on unstructured data. Retrieved from http://www.computerworld.com/s/article/93968/Taming_Text

Michuda, mark. How to use Text Messaging to Reach Customers. Retrieved from http://www.startupnation.com/business-articles/9139/1/text-messaging-reach-customers.htm
Mindshare Technologies. retrieved from http://www.mshare.net/feedback-channels/

Clara bridge press release.( 2010, March 22). Retrieved from http://www.clarabridge.com/default.aspx?tabid=136&PressReleaseID=953

Pines, Tony. (2011,May 19). Build more power into customer experience efforts use text mining of unstructured data to complement structured data. Retrieved from http://beyondthearc.com/blog/2011/customer-experience/build-more-power-into-customer-experience-efforts-use-text-mining-of-unstructured-data-to-complement-structured-data

Jenkins, Chris B. The Four Benefits Of A Text Messaging Service. Retrieved from http://ezinearticles.com/?The-Four-Benefits-Of-A-Text-Messaging-Service&id=5116686

Wikipedia. Text Mining. Retrieved from http://en.wikipedia.org/wiki/Text_mining
Brown, Meta S. (2012,March 29). Planning for ROI in Text Analytics. Retrieved from http://smartdatacollective.com/metabrown/48865/planning-roi-text-analytics

Lopresti, Tony. (2010,April 20). The best investment text analytics can buy. Retrieved from http://www.customerthink.com/blog/the_best_investment_text_analytics_can_buy

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