Best Practices in Cloud BI & Analytics

There is nothing called perfection or well-defined methods in deploying cloud based BI and analytics, but best practice

It could a viable option for most enterprises that have not deployed BI for varied reasons to opt for cloud BI and analytics. Certain best practices would help them in their journey.

  • To ensure that the fundamental building blocks for product / applications / platform or various service offerings are consistent and can be universally understood & compared across providers a question very often asked--how to judge Cloud offering of a provider A is better than of B can be based on extent of standards / protocols being followed
  • Standards also help to enable compatibility and interoperability between different products and services and thus while for the vendors it simplifies product development and improves time-to-market from a customer perspective it gives one confidence of inter-connectivity and interoperability and also migration from one provider to another.
  • Standards would make it easier to understand and compare competing products /service offerings by various vendors
  • Inter operability A standard to ensure that if the relationship with a provider goes bad or one has to change the provider due to any reason if one moves data to other provider data formats / applications APIs etc have to be such that customer does not suffer and data can be easily moved
  • Data centre hosting, DR and High availability A linked standard has to be on hosting of data centers, ensuring disaster recovery, business continuity and high availability etc. SLAs have to be customer specific
  • Customers need to still go through the deployment and development process as there is some amount of customization required
  • Having a positive and right mind set to adopt cloud is critical
  • Feel comfortable to migrate legacy data to cloud
  • Remember that it is a value based pricing which needs to be worked out
  • In a BI cloud model, the customer should be able to clearly articulate where the data resides which will enable the service provider to do better analysis
  • Companies that respond fastest to their data will put themselves a step ahead in this information age, thus ensuring their success.

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