Know In What Ways Cloud Business Intelligence Solutions Changing the Game for Big Data Analytics

The business intelligence solutions has been an effective tool for strategic decision making for many years, but till now its use was quite limited. The traditional BI solutions were incompetent to scale and to accommodate the ever-increasing volumes of data or number of users, scaling to huge data volumes, several users and quick innovation cycles was very expensive. These problems made it tough for BI tools to manage the new business needs as they surfaced.

The latest cloud business intelligence solutions have made scaling in all facets drastically economical than it was previously and it is now much more reasonable too. This has unlocked the door to totally new opportunities for big data analytics and it is redefining how the business is done.

How Cloud BI Solutions Opening Gates To New Opportunities for Big Data Analytics?

With the help of exceptional technical capabilities of the cloud bi solutions, numerous new opportunities have emerged for big data analytics. It is now very easy to scale strategic decisioning to a huge audience which spans local and organizational boundaries, so you can deliver big data analytics to everyone that can benefit from it.

The cloud business intelligence has enabled the operation of exceptionally strong in-context and actionable big data analytics which drive business processes. Suggestions and mechanized decisions are embedded in the applications which business users make use of on a daily basis, so they can watch in real-time what the recommended subsequent steps are and constantly enhance business performance.

These and many other opportunities supports the workflow from big data to embedded business intelligence content in a procedure or application and extranet operation that concentrates on offering analytics to external businesses, suppliers, distributors, customers or other business partners. 

In case you are engrossed in taking benefit from few of these opportunities then, ask yourself if you can practice these opportunities by making use of your current analytic tools. If you want to stay ahead, grow and capitalize on the opportunities which cloud business intelligence solutions has presented then, you must shift gears.

 

Key Reasons to Migrate To the Cloud Business Intelligence Solutions:

• Can Easily Manage Huge Data Volumes: Cloud bi solutions are not just meant for a few internal managers, rather it is for all of your customers. Each of these customers brings their own data. You require an application developed exclusively to manage ever-increasing volumes of data users and data.

• Better Synchronization and Low Latency: In your existing bi solution, you possibly rarely see over a few of users that make use of data analytics simultaneously. Extranet and embedded use cases need a lot higher user concurrency as you will observe hundreds of synchronized business users. Your company will require a powerful cloud business intelligence solution to manage thousands of users simultaneously.

• Confidentiality: If you are scaling to thousands of different users then, you must protect that entire users’ data. Try to store every customer’s data in a different database and control all the typical data access and user management attributes to protect a data infringement and illegal access.

• Dexterity: With thousands of different customers, a massive amount of time and resources will be needed to develop independent experiences for each of them. You must develop and spin out a multi-tenant solution for all of them and consider it like a product which you keep improving in responsive iterations.

• Business User Usability: With large-scale deployments, you cannot hire hundreds of cloud bi analysts. Even if you somehow manage to hire all those analysts, you still cannot sustain and deliver all the customized reports which your users across all companies require. Scaling to hundreds of users requires a powerful semantic model which drives steadiness and reusable and context-attentive metrics that users merely drag and drop. The data governance tools which were tailored for the limited desktop analytics audiences- different departments and small strategic teams cannot offer in large-scale deployments.

If you would like to surpass your big data analytics challenges then, consider the above explained tips and find an ideal cloud business intelligence solution which works for you.