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

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/

ERP software and databases are not always geared toward presenting management-level views of operations. That’s where the customer relationship management system comes in. One issue companies may face is the quality of CRM data. Author David Gillman (Analyst with Studio B), is assuming that the CRM system hold the detailed sales records along with the history of customer contact. Based on that he writes in his article about some ways in which CRM-based analytics can improve distributor operations. They are - Management-Level Dashboards, Predictive Order Analytics, Trend Analysis, and Marketing Improvement. Read more at - http://it.toolbox.com/blogs/insidecrm/4-ways-crm-analytics-makes-distribution-more-effective-70451

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

CRM vendors are trying to differentiate themselves from one another to provide a higher level of business value. They have realized that it is not sufficient to offer a well-designed system with application programming interfaces; one must also offer analytics and business intelligence capabilities, as well. CRM systems are predicting based on past data collected, future sales opportunities or marketing campaign results. One of the major trends anticipated for the CRM market this year centers around mobile access and all the CRM players are working on enhancing mobile CRM apps so that they can support the workers who work outside an office set up. Read more at: http://it.toolbox.com/blogs/insidecrm/crm-analytics-for-a-better-business-insight-what-can-we-expect-for-2015-66119

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