Data Analytics & Big Data

Big data analytics is the use of advanced analytic techniques to very large, heterogeneous data sets, which can contain structured, semi-structured, and unstructured data, as well as data from many sources and sizes ranging from terabytes to zettabytes.

Big data is a term used to describe data sets that are too large or too complex for traditional relational databases to capture, manage, and process with low latency. Big data is distinguished by one or more of the following characteristics: high volume, high velocity, or high variety. Artificial intelligence (AI), mobile, social, and the Internet of Things (IoT) are increasing data complexity by introducing new data forms and sources. Big data, for example, is generated in real time and on a massive scale by sensors, devices, video/audio, networks, log files, transactional applications, web, and social media.

Big data analysis enables analysts, researchers, and business users to make better and faster decisions using previously inaccessible or unusable data. Businesses can gain new insights from previously untapped data sources using advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing, either independently or in conjunction with existing enterprise data.

By analysing massive amounts of data and uncovering hidden patterns, data analytics and big data applications can assist businesses in making better business decisions. These data sets could come from social media, sensor data, website logs, consumer comments, purchase habits, and customer transactions, among other sources. Big data applications are costing businesses a lot of money in order to find hidden patterns, unknown correlations, market style, consumer preferences, and other useful business data.

The following are some examples of domains where big data can be used:

• Health care
• Media and entertainment
• IoT
• Manufacturing
• Government
• Betting companies
• Business consulting companies

At Marvel, we aspire to be a trusted Data Analytics & Big Data Analyzing team, providing valuable insights to clients to help them make informed decisions. Our big data experts can assist you in improving customer integrations, detecting and mitigating fraud, and driving supply chain efficiencies.