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As data grows exponentially, it becomes difficult to handle the increasing complexity and dimensionality. This data can be in the form of consumer sentiments on social media websites, online market place, and online communities. It can also be in the form of consumer behaviour captured in the form of video and audio interactions. Here, Big Data and Analytics based framework provides a breakthrough with instant access to powerful predictive and visual analytic tools for businesses in general and market research in particular. It helps to draw and visualize powerful insights from a wide range of data sources.
Data exploration entails searching for relationships and patterns you did not know that they ever existed. Hence the primary need is to build an engine to understand enterprise data towards better Enterprise Data Management. Next, to develop models to gain more insights leading to advanced usage of data for predictive modelling and decision support systems. It should be based on an intelligent analytics framework and flexible tool chain to help uncover business insights from complex datasets.
The engine should be able to support the following tasks:
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The framework is hugely scalable and powered by NLP, Text Analytics, and ML. It has easy to plug in modules that help in ingesting data from different sources. It helps to statistically analyse data based on business needs and visualize the output in a graphical format. The framework essentially provides a goal to turn text into data for analysis by using NLP and Analytics. It aggregates data from different sources into a Big Data infrastructure by using custom user-defined functions (UDFs), customizable workflows, and data modellers. It provides statistical packages, text analytics tools, and ML algorithms to perform functions, such as search, text analysis, geospatial analysis, multi-media analysis, statistical and mathematical modelling & analysis, and graphical analysis.
The Big Data Analytics framework provides engines for visualization, statistics & maths, and text analytics & co-relation:
The Big Data Analytics framework is only limited by the limitations of imagination. The framework provides agility in the efforts to unearth latent knowledge and discover critical business insights from high data volumes. So to say, it adds immense value to your regular Enterprise Data Management. The massively parallel processing offered by the Big Data infrastructure provides an extremely fast way of crunching data allowing response in a couple of minutes for petabytes of data with the time increasing accordingly for higher orders.
The Big Data Analytics framework is recommended for document analysis and exploratory works atop plain Enterprise Data Management. It can be typically used in Market Research scenarios, where the researcher does not know what he or she is looking for and needs to explore the data and relationships to gain deeper insights into the area of study. The framework is also used in scenarios where a systematic data discovery needs to be done in the fields of Intelligence Analysis, Fraud Analytics, Legal document analysis, clinical research, etc.
Future scope includes refinement in the framework to include high speed Audio and Video Analytics. Use of streams instead of batch processing systems would exponentially improve the performance in case of motion analytics or video analytics in real-time. Semantic analytics or understanding of the emotional context underpinning voluminous data is also an upcoming field and work is under progress to deliver high performance for live data even in continuously streaming mode.