Exploring Information Systems and Big Data Analysis Techniques

This report provides an overview of big data analysis, starting with its history, tracing back to the 1990s with John R. Mashey often credited for coining the term. It highlights the increasing volume of data and its importance in decision-making processes. The report identifies key challenges in big data analytics, including a lack of knowledge professionals, understanding massive data, data growth issues, tool selection confusion, data integration, and security concerns. It defines big data by its characteristics: volume, variety, velocity, and variability, emphasizing its role in analyzing large datasets from sources like social media and application logs. Furthermore, it outlines techniques used in big data analysis such as A/B testing, data fusion, data integration, data mining, machine learning, natural language processing, and statistics. Finally, the report discusses how big data technology supports businesses by enhancing customer understanding, improving decision-making, and delivering efficient services and products.

History on big Data
Big data has been in use since 1990s. However there is
no clarity about who used this term for the first time buy
most commonly Jhon R. Mashey is given credit for this.
In last few years overall volume of data which is being
used and generated has increased and is mostly used for
decision making process because of which big data has
come into picture.
Information Systems and Big Data Analysis
The challenges of big data
analytics
Lack of Knowledge Professionals (Dai and et.al.,
2020).
Lack of Proper Understanding of Massive Data
Data Growth Issues
Confusion in Selecting Big Data Tool
Integration of Data from Sources
Poor Security of Data References
Dai, H.N. and et.al., 2020. Big data analytics for manufacturing
internet of things: opportunities, challenges and enabling
technologies. Enterprise Information Systems.14(9-10).pp.1279-
1303.
How Big Data
technology could
support business
Understanding the customers, making better
decisions, delivering effective and efficient
services and products through skilful
technology with latest up gradation.
Characteristics of Big dataWhat is big Data
Big data is the field that treats the ways to systematically analyze
and extract information and deal with data sets which are complex
or too large which deals with traditional data processing software.
Big data helps in analyzing and evaluating the information at large
scale. Big data is the data which is of huge size.
Volume: High volume of data stored at large scale.
Variety: Storing large data and information together.
Velocity: Accommodating data at large scale through
social media sites, application logs etc.
Variability: Variability on the data solves the issues and
problems.
Techniques that are currently
available to analysis big data
A/B testing
Data fusion and data integration
Data mining
Machine learning
Natural language processing
Statistics