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What is "predictive analytics" in customer service? And how important is it?

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Question added by Hiba Samman , Electrical Engineer , Arabtech Jardaneh
Date Posted: 2018/06/04

Predictive Analytics is a tool to forecast potential customers by using the past customer data. This tool is important to identify the target customer as well as to retain the existing customers to formulate long run business strategy.

Honey leth Arellano
by Honey leth Arellano , Accounting Staff , Supreme Software Info Tech Solutions Corp

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. and does not tell you what will happen in the future. Thank you

 Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models help businesses attract, retain and grow their most profitable customers. Improving operations. Many companies use predictive models to forecast inventory and manage resources.

mohamed salah
by mohamed salah , system reception

A creative, enthusiastic, high-achieving Customer Service Professional with over 9  years of progressive experience serving leading Hospitality groups. Able to motivate personnel to high performance standards and excellence .  Interact well with people of diverse backgrounds, cultures, professional levels. Strong team working, communication, leadership, interpersonal and multi-tasking skills . Adept in identifying training needs of the employees, develop and implement focused training to enhance productivity and career development. Exceed performance goals and customer service requirements. Seeking a challenging career with a dynamic Group offering long-term opportunities for professional growth in recognition of dedication, drive, and superior performance .

JALALUDEEN KASSIM HUSSAIN
by JALALUDEEN KASSIM HUSSAIN , REGIONAL BDM - ASIA , Hadid International Services

Predictive analytics are used to determine customer responses or purchases

Ganeshkumar Chella
by Ganeshkumar Chella , Business Associate , JCL

Predictive analytics is process of generates the  stats/Machine learning model , which is trained by history data to predict future outcomes.

Based on the customer history data , analytics can categorize the customers and predict the forcast report which helps firm to provide better services to increase the sales.

Lani  Gale
by Lani Gale , General Manager , Mr. Neman Abdallah

Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment.

Mansoor Ahmad
by Mansoor Ahmad , Ecommerce Operations And Procurement Manager , CEVA Logistics

Well its by making use of experience and intelligence to analyze current data to make predictions about future behaviour of Customer. Its important in terms of Business as it offers a unique opportunity to determine customer response and identify future trends and allows organizations to act upon them

Syed Tariq Qamar Ali
by Syed Tariq Qamar Ali , Administration Assistant

All my friends explained it so well below and I appreciate their views and agreed with them.

Hasnain Sajjad
by Hasnain Sajjad , Customer services Representative Cum Adminisatative Assistance , Dubai Properties

To predict future behavior. In doing so it identifies risks and opportunities. By consolidating all the customer data existing within the company’s databases with what customers are saying on social media and other public platforms

predictive analytics is computers learning from past experience to make forecasts about what might happen based on statistical likelihood , it uncovers statistical patterns and monitors processes to better understand the current business situation , it can figure out the customers preferences and can forecasts what kind of products will appeal to a particular target audience .

It's important because it can dedect fraud , reduce risk ,improve opreations and optimize markting campaigns . 

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