As data gravity shifts from on-premise to the Cloud, BI also needs to move for strategic advantage. Though the drivers for Cloud BI may be different for each organization, here are some common Cloud myths that can derail your migration plan in the long run.
Myth: BI in the Cloud will save costs
Cost savings in the Cloud depend upon the extent of fluctuations in your workloads. Before you move BI to the Cloud, you need to understand how the Cloud will help you save costs and then evaluate your migration based on your specific business needs. Instead of using a lift and shift approach, use tools and technologies that are designed to take advantage of the flexibility of the Cloud. A high elasticity analytical model that can handle peak hour workloads and shrink in lean periods will help you achieve your long-term cost-saving goals.
Myth: If you move to the Cloud, you’ll be locked-in to a specific vendor
Organizations are often skeptical about moving their BI to the Cloud as they feel that once they choose a particular vendor, they will get locked-in to that vendor. Business teams find it challenging to trust vendors with their sensitive data and IT teams anticipate long-term portability issues. In case you choose all BI services from a specific vendor or choose products that are built using a set of vendor-specific services, portability will undoubtedly be difficult. Therefore, you should select your services intelligently and create a BI environment using tools and technologies that are vendor-neutral and work the same way with all Cloud vendors and configurations.
Myth: It’s either No Cloud or All Cloud
It is not always possible to move everything to the Cloud. If you have a huge existing on-premise infrastructure, complete migration can be complicated as well as expensive. You can either follow an incremental approach or choose a hybrid implementation. You should build a modern BI architecture that supports cross-platform integration and enables easy consumption of data across the enterprise through a unified interface. Also, ensure that your BI platform supports multiple data sources, allows connectivity to your existing applications, and provides the flexibility to move incrementally.
Myth: Cloud makes your business agile
Simply moving applications to the Cloud does not automatically make them more efficient or meaningful for your enterprise. The key here is not to think about the Cloud as adopting modern technology, but instead, implementing Cloud services from an outcome perspective. Pulling massive volumes of data and feeding into your traditional BI tool would sometimes require the same amount of effort, irrespective of whether it is in the Cloud or not. If you want to use the Cloud for ad-hoc analysis and exploration of Big Data, you should choose BI technologies that are designed for the Cloud and are optimized to deliver high performance on data at massive scale.
Myth: Rip and Replace approach is essential
Replacing or re-engineering your BI applications to make them work in the Cloud involves a considerable amount of training and migration effort. You need to implement your BI architecture using technologies that leverage the flexibility and elasticity of the Cloud for analytics, while at the same time enable your existing BI tools and applications to connect to the Cloud. Your migration plan should ensure that the transition is transparent to business users and the move has minimum impact on them.
With the availability of multiple Cloud options, it is essential to keep your end goals in mind while planning your Cloud BI strategy. Whether you have already moved your BI to the Cloud or are planning to do so in the future, you can watch our recent webcast “How the Cloud will shape the future of Enterprise BI,” where our guest speaker, Boris Evelson, Forrester Vice President and Principal Analyst, and Ajay Anand, Kyvos Insights VP Products & Marketing discuss:
- Trends that will shape the future of BI
- Benefits and challenges of moving BI to the Cloud
- Best practices for implementing BI in the Cloud