salesforce wave: the new salesforce analytics platform launched at dreamforce 2014

Salesforce Analytics Cloud

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Toll-Free: +1-877-284-1028support@algoworks.com

For those who missed the Dreamforce 14 keynotes

here is a quick one-line summary –

‘It was all about

Salesforce Analytics Cloud’

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What is Salesforce Analytics Cloud?

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What is Salesforce Analytics Cloud?

It is this:

...or at least how someone designed it.

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Salesforce Analytics Cloud platform is a complete cloud based data analytics platform designed to graphically represent and analyze Salesforce data.

What is Salesforce Analytics Cloud?

Yes, It is new ... unveiled at Dreamforce ‘14

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It has the social dimensions of chatter, it has the workflow of the core product, it has the reporting capabilities of the native Salesforce analytics, and now I can change it all on the fly and look at it in different way in the mobile setting!! it’s the missing piece. It’s the key.

What is Salesforce Analytics Cloud?

John Sabino (Senior Vice President General Electric)

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What is Salesforce Analytics Cloud?

With the launch of Salesforce Analytics Cloud platform, Salesforce has completed its SMAC stack

Social -> Salesforce Chatter

Mobile -> Salesforce↿Analytics -> Salesforce Analytics Cloud

Cloud -> Salesforce Platform

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Features of

Salesforce Analytics Cloud

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Features of Salesforce Analytics Cloud

Search Based Design

Salesforce Analytics Platform is built solely to facilitate user database searches with easy-to-use user interfaces and robust internal search engines.

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Features of Salesforce Analytics Cloud

You can easily access your analytics data from your mobile and then even share your data representations and comments with your team right from your mobile.

Mobile First Platform

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Features of Salesforce Analytics Cloud

Salesforce Wave is built using a key-value-store, NoSQL database. That means you get

⇢ Better performance⇢ Faster searches, and⇢ Easier database maintenance

Flexible NoSQL Database

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Features of Salesforce Analytics Cloud

Custom Data Dashboards

You can easily create custom dashboards in the Salesforce Analytics Platform and can intuitively mash different datasets to get the desired analytics picture.

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Disadvantages of Salesforce Analytics Cloud?

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Disadvantages of Salesforce Analytics Cloud

No Native DataloaderYou still need a third party data loader for importing data from external databases. Third party data loaders are not compatible with every database and can be buggy in the best of times.

Good automated data loading solutions obviously cost some money on top of the already expensive Salesforce platform.

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Disadvantages of Salesforce Analytics Cloud

NoSQL means Difficult legacy imports

From our perspective NoSQL is an awesome move but not all companies prefer or require NoSQL databases.

NoSQL database means that importing databases from legacy relational database can be one big pain.

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Disadvantages of Salesforce Analytics Cloud

It’s EXPENSIVE

Salesforce Analytics platform is expensive. Pretty handsomely expensive indeed.

Salesforce Analytics Platform's Explorer user licenses will cost 125 USD per user per month whereas Builder user licenses will cost 250 USD per user per month.

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Disadvantages of Salesforce Analytics Cloud

First Version BLUESSalesforce Analytics platform is still suffering from its first version blues.

The actual capabilities of the platform are not well known.

The platform boasts about its Salesforce Analytic Query Language(SAQL), a natively developed query language to navigate data.

But if life cycles of other query languages are to be compared, SAQL still needs some time to mature.

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Need a Consultant on Salesforce Analytics Cloud?

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Need a Consultant on Salesforce Analytics Cloud ?

Hire experienced Salesforce Consultantsto work out the math for you.

Salesforce Analytics Platform sounds promising but because of its price and still relatively unknown capabilities let’s not be too eager to switch to it yet. You

need to do proper cost benefit analysis as well as

requirement analysis before opting for the platform.

Thank you!

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