Information Systems and Big Data Analysis: A Business Perspective

This report provides an overview of big data, defining it as a collection of information used for organizational decision-making. It discusses how this data, often transmitted as electric signals, is automatically stored and utilized by companies to enhance functionalities and customer experiences, ultimately improving sales and profitability. The report highlights the challenges of big data analytics, including assembling, organizing, and evaluating vast amounts of data to uncover hidden correlations and insights. Key characteristics of big data such as velocity, veracity, volume, and variety are examined, emphasizing the need for specialized tools and techniques to manage and analyze the data due to its immense size and rapid growth. The report also explores how big data technology supports businesses by fostering decision-making, improving customer insights, and enabling automation, while also addressing deficiencies in professional knowledge, data growth issues, data security concerns, lack of understanding, and confusion in data tool selection. References to relevant research articles are included to support the analysis.

Introduction
Big data is collection of the contents which helps in the
decision – making for the organisations. The information
accumulated is transmissible to the application using the
electric signals, so it can automatically be stored in the
computer of the firm. These are used by the organisations for
the modification of the functionalities and to provide the better
customer experiences. In provides a assistance to improve the
sales and the profitability of the undertaking.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
It is a term which is utilized to depict the accumulation of data in a vast
volume which is very difficult to carry off. This can be in the the form of
both, structured and unstructured which can fulfil the business necessities
on daily basis. It is such an immense data that it is not possible for the
human eye to sort and examine it. So, for this the various tools and
techniques will be needed. The conventional management software
cannot perform the analysis on such a huge data because the data is
growing day by day with a great frequency level.
Characteristics of Big data
• Velocity
• Veracity
• Volume
• Variety
The challenges of big data
analytics
It is a process of assembling, organising and evaluating the
vast amount of data to reveal the concealed correlativity and
substantive insights.
Deficiency of the professional Knowledge
Data Growth Issues
Data Security
Lack of understanding of the Big data
Confusion of the Data tool and selection
References
Aboelmaged, M. and Mouakket, S., 2020. Influencing models and determinants in big data analytics research: A bibliometric analysis.
Information Processing & Management. 57(4) .p.102234.
Forgó, N., Hänold, S. and Schütze, B., 2017. The principle of purpose limitation and big data. In New technology, big data and the law.
(pp. 17-42). Springer, Singapore.
How Big Data
technology could
support business
The technology which is used in the data industry gives a
new perspective to look at the data in the organisations to use
it in the correct way.
• Foster the decision – making
• Better customer – insight
• Automation
Techniques that are currently
available to analysis big data
• Data Mining
• Data Integration
• A/B Testing