Recently, more and more businesses have started looking to outsource the majority of their business functions and IT activities to outsourcing companies. Data analytics is slowly becoming one of the most popular activities that companies outsource. But are there any advantages of outsourcing your big data initiative? That’s exactly what we are going to be talking about today.
Top 6 Benefits of Outsourcing Your Big Data Initiative
Read down below to find out the benefits of outsourcing your big data analytics.
Access to Talent
It takes a lot of time, cost, and effort for in-house hiring of big data developers. Why? Because the company needs to search, interview, and train the employees they hire, which can take months.
On the other hand, outsourcing big data developers can be a much cheaper, easier, and effortless option. All your company would be required to do is access the big data development company they choose to hire. Moreover, outsourcing provides you instant access to experienced machine learning engineers, data analysts, and data scientists.
Hence, outsourcing provides you access to a wide pool of talent, where there’s no need for you to individually hire and train individuals. Also, the teams outsourced usually hold up-to-date knowledge regarding the latest technologies, processes, and methods.
Industry knowledge
One major benefit of outsourcing big data development is that you can get access to experienced developers within no time. Majority of the outsourcing teams consists of members who have been working in the field for a long time, and are experienced in developing different sorts of projects related to the same field.
Moreover, there is no need to train any new comers since you will already be managing projects through a reliable team of professionals. Also, since outsourcing team usually work with new clients every now and then, they are well-equipped with different sorts of technologies, project knowledge, and techniques that can help put you ahead of your competitors.
Flexibility
Outsourcing services such as data analytics allows you to get flexibility in your business. For instance, you might have already hired big data developers for your company but for certain projects you might have to extend your team. Thanks to outsourcing, you can hire additional staff temporarily till the project gets completed successfully.
This way you won’t need to hire additional employees for your company for only one or two projects. Hence, you can easily scale up or down according to your requirements.
Compliance
During analyzing and managing big amounts of data, there is the risk of security regulations along with compliance, for example general data protection regulation. These issues can be avoided by outsourcing big data developers as these professionals are experienced in the issue. This allows companies to make use of insights without having to stress about compliance issues.
Cost Savings
As mentioned above, outsourcing can help businesses save a big chunk of money. Regardless of whether you are hiring a permanent employee or part time employee to get projects completed, it is going to cost you more as compared to outsourcing development. One of the main reasons outsourcing costs less is because it does not include overhead.
Moreover, at times, you get better and more professionally trained people to work on your projects while outsourcing as compared to hiring new ones, at higher pays, with less experience.
Focus
Another major advantage of outsourcing is that you can get to focus on other business activities while your projects are being managed by outsourced professionals. This not only helps improve product and service development, but also helps you focus on customer relations.
These activities combined with the market trends and other important information uncovered by data analytics; the results have the potential to be even more powerful.
HOW TO CHOOSE A PARTNER FOR BIG DATA OUTSOURCING?
There are certain factors of the outsourcing company you need to access before you finalize them as your partner. Two of the most important ones are:
Make Sure Your Potential Big Data Outsourcing Partner Can Help You With Scaling Your Product
You might want to go for a professional with experience in DevOps, cloud, big data etc. to ensure that all different aspects of your projects are covered by the outsourcing team. Search for a service provider that can help you develop your big data projects and also help you scale them effectively, also reducing costs at the same time.
One of the biggest challenges related to big data are not being able to scale up a big data solution. Hence, it is essential that the project and its architecture can be scaled in the cloud.
Choose a Partner With an Established Security Policy
One other very important factor that should be considered while choosing an outsourcing partner are their international security standards. It is imperative that the company you choose for outsourcing complies with all the policies, standards, and physical controls related to the job.
Companies that transmit cardholder data, accept and store card payment should comply with PCI DSS.
If you work with medical data then compliance with HIPAA law is needed.
Moreover, to ensure data security for the projects you are going to get developed; your outsourcing vendor needs to follow these best practices:
- Vulnerability scans implementation for third-party libraries;
- Static code analyzers implementation
- Check whether sensitive data is cached and traffic is encrypted
Conclusion
Finding the right big data development outsourcing partner can be a bit tricky, especially if you are not aware of the basics and guidelines of outsourcing. Also, since developing these projects is costly, you surely don’t want to team up with an outsourcing partner that is not experienced and does not communicate effectively. Looking to hire big data developers? Checkout platforms like Clutch, Design Rush, Top Developers etc. and choose the best company for yourself.
