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Self-Service Analysis | Real Business Intelligence

Self-Service Analysis in the Cloud vs. Traditional Business Intelligence

You hear a lot about cloud computing these days. Why not! It relieves pressure on IT and can be seen as an operating expense rather than a capital expense. There is a lot to like about it. But, there is also a good deal of misinformation about the cloud.

 iCHARTER has been in the cloud since day one. BI in the cloud, you say? Yes. It can work for you whether your primary data assets are cloud-based or on-premise. Let me explain just a couple ways we are helping business gather insights enhance decision-making without spending a lot of time or money.

 The appeal of Self-Service Business Intelligence is that it too lightens the load on your IT staff, while providing clarity and dynamic access to data, to help make better decisions in less time. How can you accomplish both?

 Whether you are dealing with multi-tenant cloud offerings such as salesforce.com, or single-tenant dedicated server type of arrangement as is more commonly the case with Microsoft Dynamics or SalesLogix, you have the ability to pull data out of the system using their published API’s. These interfaces do a generally decent job of producing usable data. Though, you need the ability to quickly and easily turn that data into chartable information. This is the promise of Self-Service Business Intelligence. The trick is to understand the cleanest method of data migration and interrogation.

 As examples, these charts represent cloud-based projects, across different disciplines and industries:

Opportunity Net Change- Salesforce.com

iCHARTER Dashboard – SalesLogix in the Cloud