Six reasons to consider Cloud Analytics

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The cloud provides a more complete, secure, scalable, and cost-effective portfolio of services to analyze and generate value based on its data. It is a revolution that is changing the way to do Business Intelligence and that facilitates the collection of Big Data information to boost your business.

If you are not yet evaluating a public cloud analytics platform, here are six reasons why you should:

1. It is less costly: Consulting studies indicate that, depending on how it is implemented, cloud TCO (Total Cost of Ownership), with native solutions, could be from 50% to 95% cheaper than having a platform based on traditional technologies such as BW on HANA, Teradata, or Exadata.
2. Reduces time to market: Time to market can be reduced by more than 40%, since the platform setup time is quicker, modeling is simplified, and testing processes are shorter.
3. Flexibility: Escalating or deescalating based on business demands is quicker and easier. Specifically, proof of concept tests may be done to evaluate new applications with minimum costs, before validating a project’s viability and without compromising investments.
4. Reliability:  Las soluciones de analíticos en cloud se basan en servicios de plataforma administrados por los proveedores de cloud, que son diseñados para entregar los niveles más altos de disponibilidad, manteniendo la simplicidad de la operación.
5. Scalability: Granular, simple, and quick scalability allows timely adjustment to business requirements, without having to commit investments in advance and with virtually unlimited growth. In contrast, traditional solutions are expensive, and its growth is done in large and limited blocks.
6. Wide range of functionality available: The cloud Analytics environment is multi-tool and multi-provider, for there are many complementary alternative solutions. You may search for one that is best suited for your project without being tied to a single technology.

Making decisions based on information and generating value from Big Data is now accessible to companies of all sizes with the availability of these new cloud solutions.

As costs decrease, projects can be more profitable, the company’s analytical potential skyrockets and it becomes more valuable.

However, expertise is necessary to define the architecture well, with an automated solution, and then deploy it at low costs. At Novis we have this experience and knowledge to design an optimal solution for your company and challenges.

Please feel free to contact us to discuss your projects.

Feedback/discussion with the author, Patricio Renner, Technology Manager, at patricio.renner@noviscorp.com