The biggest asset today is data. This term can refer to any occurrence, conversation (vocal/visual/written), and or transaction. Hence, data refers to almost anything that happens across the globe. On that note, Big Data can be defined as a collection of data and storage of the same in a single archive or infrastructure. Data can be in the form of large datasets or processes and technologies that are used to handle such large data sets. However, for crediting any value to these massive amounts of data, they have to be analyzed first and insights need to be generated from them.

Data is the biggest asset today and it keeps increasing at a voluminous pace.  The term data implies all information that is received, shared and stored on electronic devices as well as the cloud. These devices could include computers, mobile devices, external storage such as pen drives/DVDs, and disk drives.  It is estimated every device generates 1.7 MB of data per person on Earth every second. There is an enormous treasure waiting in these pieces of data.

Data is everywhere. Each incident, conversation or transaction can be regarded as data. It is just virtually anything that happens in the world.  Big Data refers to the process of collecting such data and storing it in a single archive or infrastructure.  It can be large datasets or even strategies and technologies that are used to handle such large data sets. Yet such massive amounts of data can be of value, only if they are analyzed and if insights are generated from them. This is the general meaning of big data analytics.

Data Science is capable to provide accurate solutions to business problems when and where required.  A business can learn about customers' needs, interests, ways of living, as well as general attitude towards life.  The objective of data science is to build bases for extracting business-focused insights from data.  For this, the flow of value and information in a business needs to be understood accurately. This understanding can be used to identify business opportunities.

The internet is the largest library of information. Every single data of life as well as man-made objects is available online. This could be very useful for your business as a lot of histories, purchasing habits as well as interests will be included in this data. But gathering and analyzing information from this consortium of information will not be as easy as seeking answers on a search engine. This is why you need the services of a Big Data Analytics Company.

Definition of Big Data

What is big data? How is it used? What does it mean for business and for the consumer? How will it change the world??

The term big data describes a massive volume of data which is normally unstructured and that is so large and difficult to process. Big data is nothing but capturing what is happening in and amongst humans, machines, markets, natural systems, and the like. The pace of growth will continue to accelerate, all from different sources (e.g. Web, sales, customer contact center, social media, mobile data and so on). The data is typically often incomplete and inaccessible.

Different pricing models exist for custom software development. There are instances when varied quotes are made for the same software development price. It is recommended to gain a concise idea of the structuring of these costs for complete transparency. Planning of costs in advance and mitigation of risks, play great roles in defining a suitable pricing model and ensuring a smooth service delivery process.

Experienced software development vendors generally follow these pricing models: