TechAtLast

Salesforce.com has several products, but most people know it for its customer relationship management (CRM) called Salesforce. Salesforce is broadly categorized into Sales Cloud, Data Cloud (which includes Jigsaw), Service Cloud, Collaboration Cloud (including Chatter), Marketing Cloud, Custom Cloud (including Force.com), and Analytics Cloud.

The official name for the Analytics Cloud is “Wave, the Analytics Cloud.” This is a new product that will help you create marketing, sales, and service analytics. You can read the results on both PCs and mobile devices.

 Salesforce Wave Analytics cloud

So, what does Wave Analytics Cloud offer?

Flexibility: The underlying NoSQL DB of Wave offers flexibility. Since the schemas are not predefined and there are no requirements or cubes that you have to stick to, bringing in any type of data is easy. Wave will not only help you analyze marketing, sales, and service data, but also 3rd party app data, public data, and desktop data. Today’s organizations need to process big data from different sources, making this the ideal solution. Note that although Salesforce does not have data-integration tools, it has such integration partners as IBM CastIron, Bell Boomi, and Informatica.

Most preferred solution in the industry: Although there are many startups in the industry, Wave is seen to be a better solution because you will also get Chatter collaboration, Radian6 social data, and Data.com enrichment data.

Security: Wave offers security, with its security-and-access control hierarchies, coming from the tried and tested Salesforce platform. Eric Johnson, the VP of GE Capital in charge of commercial sales, in a keynote session held at Dreamforce, indicated that they had performed rigorous data-privacy and data-security tests. He stated that Wave was able to analyze confidential data that GE wanted to keep inwards of its firewall.

Up to the minute Analytics: The approach that Wave takes to analytics is very different from what you will find in the market. You are able to make searches that are quick and iterative, thanks to Wave’s search based query index that is built for speed. You can discover, filter, regroup, measure, share, and personalize data insights and dashboards.

Well-optimized for different platform: Wave’s visualization engine integrates several dynamic visualization layers. You can optimize underlying data sets for users who are on mobile apps to ensure appropriate resizing of the screens. You can build a fully customizable dashboard to meet your business’s unique needs. You can get data not only from other Salesforce applications, but also 3rd party applications like SAP ERP and Oracle ERP. 

Cost saving: Since Wave is cloud based, you do not have to spend extra money on data storage and handling or to invest in such DBs as Oracle and SQL.

Easy to use: Analytics Cloud provides reports and insight for front-end, back-end, and developers to analyze and query the KPIs what they are interested in.

Other notable features include:

  • Self service data access
  • Full vertical integration
  • Parallel processing

The analytics cloud is largely conceptualized by Alex Dayon, who is the company’s president in charge of products and a Business Objects co-founder, and Keith Bigelow. These two are industry leaders when it comes to analytics business solutions. The fact that Salesforce.com acquired EdgeSpring which was an innovative startup specializing on analytics in 2013 is further proof of the tool’s pedigree.

If you deal with big data, you should use Wave alongside other related Salesforce.com offerings like Salesforce test data, Salesforce data loader, and Salesforce data migrator to reap maximum benefit from the CRM.

Sujain Thomas is a Salesforce expert from https://www.flosum.com. She believes that Wave, alongside older service offerings like Salesforce test data and salesforce data migrator were released to ensure Salesforce.com is not left out of the big data boom.

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