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SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

CRM Analytics

CRM (customer relationship management) analytics comprises all programming that analyzes data about customers and presents it to help facilitate and streamline better business decisions.
CRM analytics offers insights to understand and use the data that is mined. CRM is used in Customer segmentation groupings, profitability analysis and customer value, personalization, measuring and tracking escalation and predictive modelling.
CRM analytics can lead to better and more productive customer relationships through the evaluation of the organization's customer service, analyzing the customers and verifying user data. CRM analytics can lead to improvement in supply chain management.
A major challenge is to integrate existing systems with the analytical software. If the system does not integrate, it is difficult to utilize collected data.
 
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Ways To Ensure CRM Data Is Fit For Purpose

Constantly improvising on the quality of data is essential to remain ahead of business competition. However, failing to do so will result in a fatal erosion in the value of your most valuable asset, data, which is why it is vital to manage and maintain it effectively. 99% of marketers feel the urge to turn data into insights, yet 75% of organisations believe inaccurate data is undermining their ability to provide an excellent customer experience.

It’s impossible to provide outstanding customer experience with incomplete and incorrect customer data. However, improving the quality of your CRM data doesn’t have to be costly or time consuming.

 

Read here how you can effectively improve the quality of your CRM data: http://www.business2community.com/big-data/ensure-crm-data-fit-purpose-01706169#BufvU0yIxvoRxkdm.99

 

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The line between social media and CRM has obscured

Optimization of CRM is highly correlated to the social media presence of a company. Customers frequently generate queries via social media. So there are some steps that can be followed to create a position in the customer's mind by establishing good connections between social media and CRM.

1. Right platform should be chosen.

2. Must have a dedicated human resource to handle the social media activity and patch them up with marketing team who handles CRM.

3. Instead of putting one liner FAQs, try to personally resolve critical issues in time.

4. If you have a different presence in multiple social media, then deploy time understanding the importance

5. Start listening your customers’ point of view about you and react proactively.

6. When you are segmenting your customer, you should be prepared for queries. Centralize them and solve them in real time

7. Reward your customer by discount offers, free e-books and promo offers.

 

To read, follow: https://www.cmscritic.com/10-steps-to-social-crm-success/

 

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Big data in evaluating customer experience

Customer analytics deals in the evaluation of consumer satisfaction, from the purchase of a product or service. The insights obtained from the data, assists in assessing a company's principle performance indicators, the sales division's performance and in making future sales forecasts. Customer loyalty aids in generating profits for the company. Customer relationship management (CRM) analytics, when applied efficiently, generates the best insights on customer satisfaction. CRM analytics analyses data, ranging from the profile of the consumer to customer feedback, to ensure the best possible results. Read more at:

http://channels.theinnovationenterprise.com/articles/the-secret-to-measuring-customer-experience

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Big Data Analytics and CRM

In-order to perform better and earn more profits a company should take help of data analysis and CRM analytics to find correlations, patterns, and find out trends that will serve up the type of information to tailor customer experience. According to an article by Marianne Cotter at CRMSearch. According to Forrester analyst Kerry Bodine “Despite its economic power, customer experience remains the most misunderstood element of corporate strategy today,” In a soon to be published book called “Outside In,” Forrester Research argues that customer experience is a fundamental business driver. Five reasons to integrate big data analytics to CRM are:

• Better customer understanding

• Better understanding of the customer-facing operations

• Decision support

• Predictive Modelling

• Benchmarking

To know more about the five reasons to integrate big data analytics to CRM, go to:http://spotfire.tibco.com/blog/?p=12660

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