Big Data Greatly Helps in Boosting Software Development Services


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Software development services are indispensable. Organizations and even individuals all over the world need software solutions to simplify and make their processes more effective, enabling them to perform tasks faster.

The world today is all about ‘innovation or persuasion’ and the same applies across industries, which include the IT sector. Software development companies have mastered the art of software designing and software development. The service providers deliver customized solutions all over the world, for various clients, coming from the start-up levels to large enterprises. With vast domain knowledge as well as in-depth technology expertise, they could cater to the needs of valuable clientele worldwide.

A software application development enterprise provides development services that are efficient and effective. With technology evolving constantly, many systems were integrated into the software development process. Effective software development services provide peace of mind and reliability, cost benefit as well as flexibility to any business. Software companies cater to clients across industry verticals and various sizes. The relationship is built from mutual benefit, trust and respect. It’s become relevant for a software development service provider to stay updated on the current systems and technologies to cater to the changing needs of the clients and to be more efficient in the whole software development process.

A Big Data analytics software is best described as huge data volumes or big chunks of data that need special processes to be processed and analyzed. The world today is data-driven. People all contribute to the generation of big data as enormous amounts of data are produced on a daily basis. Huge data means holistic data produced in form or images, text messages, videos, documents, emails and more. Even an individual could create massive amounts of data daily. Consider this for an entire organization with hundreds of people.

The new benefits, which a data analytics software brings to the table are speed and efficiency. This helps a great deal in the software solutions development process. It helps organizations harness data and use it to determine new opportunities. In turn, this leads to smart business moves, more efficient operations, bigger profits and happier clients of course. Technologies, like Hadoop and cloud-based analytics bring significant cost savings when it comes to storing large amounts of data. Furthermore, they could identify business performance more efficiently.

Nowadays, keeping up with the changing technology and needs, companies invest in building customized software, which would integrate all data. One of the most important elements of the approach of data analytics to software development is to gather good data. A great place to start is one’s completed projects. One can input a project’s start data, end data and the effort extended and peak staff and any more metrics collected into SLIM-DataManager. As current projects wind down, one can do a postmortem on completion of a project in which one could gather data on all interest metrics. Aside from using the review tab to enter an accomplished project scheduling of data, the cost, effort and growth size to calculate schedule overrun and slippage.

Nowadays, software developers like to fail fast. They don’t have the luxury of spending months to develop and then test a new application, only to find out that it does not or not meet the business requirements any longer. This is something they should find out as soon as possible and it requires agility. Scientists, data analysts and developers working with big data have the same needs. In order to succeed, IT companies must extend the agile software development concepts to big data and Hadoop. They must let data developers as well as data scientists to get the data they need as soon as possible.

Agile software development provides an adaptive delivery approach. The principles and practices gathered under the agile umbrella all focus on assumptions validation as early as possible, considerably minimizing risk exposure as the project goes on. Every software engineering project piles up assumptions one after the other. The entire process of planning is based on the assumption that all would go as expected, even padding what is added in planning is based on the assumptions that padding is enough. The functionality implemented is based on assumptions that functionality will provide the expected business value.

Many software systems, such as big data apps lend themselves to very incremental and iterative development practices. In essence, system requirements are addressed in small batches, enabling delivery of functional releases of the system to the end of every increment, typically once a month. There are varied and numerous benefits to this. Foremost is the fact that it presses validation of designs and requirements often before a lot of progress is made in inappropriate directions. Ambiguity and change in uncertainty and requirements in design approaches, could be quickly explored through working with software systems, not only models and documents. Modifications necessary could be cost-effectively and efficiently carried out.

Visualizing and processing software project data in near real-time has great potential to facilitate decisions, which expedite release cycles and enhance quality. Nonetheless, it’s not the only way big data could make its way to software development and testing—and quality assurance even. A powerful synergy would enable software development teams to act faster and proactively on a huge range of data, which include the big data which drove technological transformation.

One example is the data monitoring of unstructured data feeds, like social media, already has become commonplace among customer satisfaction teams. If a main influencer with millions of followers, such as a celebrity for instance pronounces, he or she does not like a product, the impact would be felt within days at the retailer’s cash registers, if not sooner. Near real-time big data enables companies all over the world to learn of and to address user dissatisfaction problems immediately, instead of week or months later. It’s not long before this kind of information makes its way towards user experience efforts, since it must.

Software application development nowadays is influenced heavily by big data analytics. With tons of data gathered on a daily basis, it has become important for an organization to make use of the vast amount of data to build software solutions and systems that leverage the information derived.

Dhrumit Shukla
Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years. He is profoundly skilled and well experienced in providing software development services on various technologies ranging from Microsoft .NET to JAVA, SalesForce, BizTalk, SharePoint, PHP, Open Source, iOS, Android, Pentaho and the list goes on.


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