“Data is a new gold” means that data becomes the most valuable assets for modern companies. Companies with strong data-driven cultures tend to have better business productivity than firms that don’t.

Talking about big data analytics, the concept of big data analytics has been around for years. Most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it, so that business can easily adapt to a changing situation and growing needs of customers.

If you are thinking about using big data analytics or have been using it for years but you do not get significant value from it, you need to consider these 5 factors before choosing big data analytics. There are many big data analytics solutions available, but is it really the right solutions for your business needs?

As you evaluate the solution that works best for your needs, we would like to recommend you to consider these 5 factors before choosing big data analytics, both for the provider or the solutions itself. The purpose of these considerations is to maximize the value of your investment.

1. Is it scalable?

Indeed, every company wants to grow their business. Then, every company needs to be supported by technology with a good level of scalability. By choosing scalable big data analytics solutions, you do not need to worry about how much data you have, and how much data you will have in the future. The solutions should be able to manage unlimited amount of data without affecting the quality of its performance.

2. Does it offer consumption pricing models?

In this point, you need to look for solutions with consumption pricing models, where you should only have to pay for features that you use. It means that you do not need to have upfront commitment and long-term contracts that lock you in for months or years.

3. Does it offer flexible deployment choices?

Nowadays, using flexible solution is important. Companies need to have the flexibility to deploy both on-premises and in the cloud, or the combination of it. It is important to note that not all providers offer this kind of advantage, so you need to choose big data analytics solutions provider that offers flexible deployment choices, allowing adjustment in how and where workloads are run as the business evolves.

4. Does it offer accessibility for entire organizations?

If the user interface of the big data platform you are considering is too complex, where only IT and technical staff that will be able to access data analytics and drive insights, you will not get maximum value of your investment in big data analytics tools. Consider tools with a user interface that allows for easy search and retrieval of data as well as visual replay. This benefit allows the entire organizations to take full advantage of your big data analytics platform.

5. Is it able to integrate data from multiple sources?

You need to choose big data analytics platform that supports a diversity of data types in order to keep up with the pace of innovation. Using solutions that offer this kind of capability will make your solution more powerful.

Look for a solution that effectively brings together data lake, data warehouse, and other data sources. In addition, you need to make sure that every users across your organization can easily access and turn the source of data into valuable insights through a single platform.

As mentioned earlier, the presence of data becomes valuable assets for modern companies. However, it will not be in a position to benefit from big data until a company learns how to choose the right analytics solutions to support its business decisions.

To conclude, every company needs to choose big data analytics solutions that offer flexibility, efficiency, and accessibility for entire organizations. You need to think about what your organization needs and aspires to achieve in the future, then working together with big data analytics provider that offers solutions with those advantages that we have previously mentioned.

For further information about big data analytics solutions, please reach us at [email protected]