Succeed with Big Data in Tight Budget, Why Not?

Wed, May 10 2017 | Author: PT. Central Data Technology

Interested in implementing big data in your company? Usually, to gain a competitive advantage, companies should invest a significant amount of time, money, and resources to get benefits from big data.

But it doesn’t always have to be that way. With minimal spending, you can start incorporating data science in your organization.

If you can’t spend a lot of money on data science, the easiest way is by treating it like and research and development effort. You can start by leveraging your available resources, and direct small parts of them towards data science.

For example, if you have a business intelligence and data warehousing team that manages your decision support systems, you can consider taking out a small segment for data science.

Aside from data warehousing team, you can also look for potential data scientists by looking candidates from finance professionals as they are more and more familiar with business intelligence.

Then, you can start forming a small data science team to get more into big data analytics. You can hire one or two data scientist with skills in data management, artificial intelligence, computer programming, advanced mathematics, and visualization. Introduce them to big data application of your choice.

Getting into big data doesn’t always mean you have to spend a large amount of money. By starting small, you can see what can you make from those data and find out how deep is your company’s requirement for big data.

As your big data partner, PT Central Data Technology is committed to provide you with big data solutions tailored for your specific needs. Kindly contact us if you need more information.


Reference: How to succeed with big data on a tight budget - TechRepublic