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Blogs

Salesforce Sharing Rules

On February 6, 2017, Posted by , In Other

The sharing of records is very vital for the performance of an organization, so it is very important that you should understand the Salesforce sharing rules. Hence Salesforce sharing rules came into play when records and other data require to be shared among the employees or multiple users in an…

How CRM can boost SEO for an organization?

On January 16, 2017, Posted by , In Other

CRM can boost SEO Customer relationship management (CRM) is an integral component of developing any business. You have to do some crucial things to retain and gain customers like identifying prospects and leads, building and nurturing relationships, tracking and analyzing valuable data. CRM acts as a data goldmine. It compiles…

The Future of Customer Service: Service Cloud Einstein

On December 23, 2016, Posted by , In Einstein,Service cloud

Salesforce Einstein is an artificial intelligence built on the core of the Salesforce platform, where it powers the world’s smartest CRM. It delivers advance AI capabilities to sales, services and marketing. Companies of any size will be able to deploy a connected customer service experience that is predictive, automated and…

Salesforce Integration and Migration using Talend ETL

On November 29, 2016, Posted by , In Migration,Salesforce Integration

Data may be easily transferred to and from Salesforce. The data conversion task was made much easier with the Salesforce data import wizard and Salesforce Dataloader.io tools. However, these technologies become too onerous for repetitive, sophisticated, or large-scale data transfer processes. New and established data integration companies have introduced numerous…

Why Data Migration is so Hard and What to do About It

On November 23, 2016, Posted by , In Migration

During a Salesforce deployment, data migration can typically consume as much as 60% of the total labor. When AwsQuality considers configuration, training, and project management, data migration stands out as the biggest cost of deployment. There are four fundamental reasons for this: Data is a mess: Duplicates and inconsistent/incomplete data are…