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Below you will find an example of functional resume for professional who is highlighting three major areas: administrative support, customer service and management. This sample starts with summary of qualifications to put emphasis on skills in customer service, word processing, computers, accounting, data archiving, office, telephone reception and problem solving.
Rather than listing specific details, the job seeker lists responsibilities and achievements under the three main highlighted areas. If you have some gaps in your employment history or you jumped around jobs then this type of resume may be more effective. One last reason to use a functional resume is when you have career with many jobs but your duties and responsibilities were exactly the same. Customer Service Representative Resume ExampleResume for Customer Service Representative with previous job experience in telecommunications and sportswear businesses.
Customer Service Resume TemplateThis resume is a template sample for a Customer Service Representative. The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit.
This online program is internationally-friendly (but is only available in English) - registrants have participated remotely from 32 countries: Australia, Belgium, Brazil, Canada, China, Denmark, Finland, France, Germany, India, Ireland, Isle of Man, Italy, Mexico, The Netherlands, Norway, Poland, Portugal, Russia, Saudi Arabia, Scotland, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States, and Uruguay.
Certificate of completion: An official Prediction Impact certificate with your name and the instructor's signature. The following short, published articles, written by the instructor, are a great place to get started. Predictive analytics has come of age as a core enterprise practice necessary to sustain competitive advantage.
Get a handle on the functional value of predictive analytics for marketing, sales and product direction. Run data mining as a business activity to generate customer predictions that will have a business impact.

Predictively targeted discounts convert new customers who would otherwise never return to become loyal customers. Eric has taught industry programs through Prediction Impact, The Modeling Agency and Salford Systems. The employment history is simply listed underneath the functional areas followed by education, training and other complimentary sections.
As an example, you may be a graphic designer for 5 years but then took a customer service job for 2 years. So rather than repeat them in each job, you just write your functional responsibilities in a summary at the top then include a list of achievements throughout your career.
But if you want to fully leverage big data and predict how customers will respond in the future, there is one place to turn — predictive analytics. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to. Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell. Analysts, data scientists, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics. Unlike other training programs that also cover scientific, engineering and medical applications of data mining and analytics, this seminar focuses squarely on solving business and marketing problems with these methods. Within this realm, however, we step beyond the standard application of response modeling for direct marketing to solve a wide range of business problems.
This training program, which is not run by an analytics software vendor, provides a balanced view across analytics tools and methods. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.

Note that these articles are not required reading; most of the material therein will be covered during the training program.
This definitive white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics, namely Compete, Grow, Enforce, Improve, Satisfy, Learn, and Act.
Eric served as a computer science professor at Columbia University, where he developed data mining technology in the realms of machine learning performance optimization, integrating historical databases, text mining, and data visualization. In addition, he taught many semesters of university courses, including data mining-related graduate courses as well as introductory lecture series for non-technical audiences. was designed for everyone from the novice job hunter to the HR professional.
Now you decide you want to target graphic design jobs, so it would be helpful to focus on the function of graphics work and downplay the customer service work. If you are in customer service and changing to sales, then focus on the communication skills, relationship development, documentation.
This can also be beneficial if you had some really good achievements mid-career that you don’t want to bury in the experience section on page 2. By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer.
Two of these courses have been in syndication through the Columbia University Video Network.
These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel.

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