Gain Actionable Insights with Salesforce Analytics Cloud

Gain Actionable Insights with Salesforce Analytics Cloud

Introduction Salesforce Analytics Cloud is a

powerful business intelligence tool that not only collects diverse data but turns it into actionable insights. This cloud-based tool makes use of data warehousing, data mining, and predictive analysis techniques to deliver data visualization in the form of graphs, charts, and other visual forms.

The insights can then be used to make crucial business decisions related to customer data, user acquisition, or analyzing performance metrics.

Reasons why organizations should incorporate Salesforce Analytics Cloud as an extension to their business software

Easy Integration with Other Apps

01

Predictive Analysis using AI

02 Real-Time Visualization

03

04 Multiple Dashboard Creation

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PA R T

Easy Integration with Other Apps Salesforce analytics cloud works seamlessly with other Salesforce cloud products like Salesforce Sales Cloud and Salesforce Marketing Cloud. With Analytics cloud, users can arrive at visualized and data-driven reports generated through data available in other connected apps.

2

PA R T

Real-Time Visualization Using Analytics cloud, companies can find real-time trends based on current statistics related to campaigns and user queries. Thus it helps in analyzing various business processes and campaigns through graphs or charts and assists in crucial decision making.

3

PA R T

Predictive Analysis using AI Another reason for integrating this tool in business software is that it works on Artificial intelligence. With predictive analysis capabilities, diverse data sets can be analyzed to get more useful and actionable data based on user preferences. It can be extremely helpful in running successful marketing and sales campaigns.

4

PA R T

Multiple Dashboard Creation The data requirement of every business is unique and differs from one other. Salesforce analytics cloud solves this by allowing creation of multiple dashboards for business processes like Sales, Marketing, Customer Service— thus allowing teams to analyze diverse and datasets through visual graphs.

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