5 Considerations For Outsourcing Big Data Projects

There are many offshore software firms that use the latest technologies, including Microsoft technologies, .NET, PHP, IoT, AI and of course big data among others. Take for instance the offshore software development India, which work in custom app development for years with various projects, from e-commerce websites to complex systems, including of course big data analytics.

The Big Deal About Big Data

The days are long gone when some people believed big data is just another buzzword. As more and more organisations achieve great financial success with big data ventures, having a true impact on the daily lives of ordinary people, its practical use becomes much clearer to everyone. At the same time, the bar for upcoming big data projects is set much higher. For a software development outsourcing partner, what does it takes to be successful in the highly competitive big data analytics field?

The Growing Big Data Market

Nobody appears to be exempt from participating in the data analytics trend. Startups develop acclaimed big data solutions that are used in changing the way companies sell their products and services. Individuals benefit from a growth of contextualization and personalisation of services and products, driving much more demand for solutions that are big data-enhanced. Big data-enhanced solutions almost always have to be designed in an extremely scalable way, with an eye on the ever-growing demand for variety, volume and velocity. At the same time, the efficiency and sophistication of big data systems grows at a staggering pace, making the competition in the field more and more of a challenge. All this means that a company is going to need experienced and skilled custom software developers that can create solutions that could be most conveniently expanded and enhanced upon in the future.

Big Data Offshore Software Developers

When it comes to sensitive and sophisticated software projects, even the biggest risk-takers tend to be more choosy and careful in selecting software development offshore partners that could provide with the highest quality software solution. When it comes to software development with big data integration, engineering prowess is not all one needs. A successful big data project has to be built in response to the real market and to communicate the benefits that it provides in the most straightforward way possible. Companies, often mesmerised by the possibilities that big data provides, buy different solutions designed to boost sales, inventory management, PR and what not, only to find that they do not really have an idea how to use them to boost performance truly. This alone does not mean that the solutions are not useful. The most probable reason is that the creators failed to show clearly how to make sense of the data to benefit from it truly.

5 Considerations For Outsourcing Software Development Projects

1. Prepare a strategy for big data outsourcing

Big data analytics is a business-driven process, so with the right execution and infrastructure, it could have a powerful impact on business operations and customer engagement. Thus, it’s essential to develop own strategy before outsourcing to an offshore software developer. This includes designing and planning around analytics discussions and initiatives of future steps before starting the partnership.

2. Big data analysts with domain expertise

Today, industries like insurance, banking, logistics, e-commerce, digital media, healthcare, retail are leveraging big data analytics. Nevertheless, big data insights would be useless fi they could not be applied to a business setting. Professional big data analysts have a strong comprehension of the domain and the business they operate in. Outsourcing could help find the specialists who have built a robust domain expertise while working with customers from various industries. Domain knowledge could considerably magnify the impact of the specialists’ insights and could help determine relevant opportunities as well as threats, based on their business expertise.

3. Big data analytics tools investment

Scalable big data tools provide a most effective framework to analyse data, discover patterns and propose analytical models. In such instance, big data specialists could identify and react to elucidated patterns and boost the performance of business processes through analytical models integration with the corresponding operational apps. A one-time investment not only helps a business cut costs but produce a remarkable ROI much earlier than expected.

4. Go for Big Data specialists with robust tech skills

Big data analytics outsourcing could create substantial value for business by providing access to the greatest analysts. To achieve major big data analytics goals, an organisation should take into account specialists with a solid analytical skill set. The professionals must have the fundamental mathematical knowledge to understand different models and algorithms and technical background as well. Such different ski8lls as statistical and numerical analysis are vital for any qualified big data analysts. With this knowledge, they could work with neural networks as well as machine learning. Furthermore, having solid experience in open source big data technologies such as Hadoop is essential to provide valuable insights to help translate data into action.

5. Adhere to stringent security measures when outsourcing big data software

Data is a big asset to an organisation and its privacy and protection are paramount. Establishing solid legal agreements between the company and the remote big data analytics team to secure data and complying with all local privacy regulations and laws is necessary for any organisation. Privacy has to be one of the important considerations when it comes to providing access to significant data amounts, including information on internal business operations and customers. Thus, before entering into an outsourcing agreement, it’s preferable to understand the processes that the offshore vendor is using to protect sensitive data.

It comes as no surprise that market leaders are built around big data. More and more organisations take advantage of big data analytics as it helps find valuable insights to outperform the competitors and lower costs. Big data analytics in an offshore setting helps companies leverage their data to determine new opportunities and to adapt to the disruptive changes in their markets. Additionally, it lets them access a big talent pool of skilled analysts. They ultimately can scale their business and software products faster, gaining a competitive edge.