Analyzing Big Data in Information Systems for Business Support

This report provides an overview of information systems and their role in big data analysis. It begins with a brief history of big data, defining it as a combination of structured and unstructured data too complex for traditional methods. The report outlines the challenges of big data analytics, including a lack of skilled professionals, understanding massive data, data growth issues, tool determination, data integration, security, and organizational resistance. Key characteristics of big data, such as volume, variety, velocity, veracity, and value, are discussed. Furthermore, the report explores techniques available for big data analysis, including A/B testing, Monte Carlo simulation, machine learning, associate rule learning, regression analysis, and social network analysis. Finally, it highlights how big data technology can support businesses by enabling better decisions, understanding customers, delivering smart services, generating income, and improving operations. The report references academic sources to support its findings.

History on big Data
An information system is a structure that collect, process
and distribute information. It is based on computers and
people that processes the data. This is an information and
communication technology that the organisation uses and
the way people interact with this technology.
Information Systems and Big Data Analysis
What is big Data
Big data contains large variety of data and complex to be dealt by
traditional methods. It is a combination of structured and
unstructured data that is collected by organisations. These massive
data can be used to manage business problems that company did
not able to tackle earlier. It improves the customer service.
Characteristics of Big
data
• Volume
• Variety
• Velocity
• Veracity
• Value
The challenges of big data
analytics
• Lack of knowledge professionals
• Lack of proper understanding of massive data:
• Data growth issues
• Confusion in big data tool determination
• Combining data from a spread of sources
• Securing data
• Organisational resistance
References
Marshall, B., 2018. Accounting information systems. Pearson Education,.
Kenneth, C. and et. al., 2019. Management Information Systems: Managing the Digital Firm. PEARSON.
How Big Data technology
could support business &
Examples
• Making better business decisions
• Understanding your customer
• Delivering smart services and products
• Generating income
• Improving business operations
Techniques that are currently
available to analysis big data
• A/B testing
• Monte Carlo simulation
• Machine learning
• Associate rule learning
• Regression analysis
• Social network analysis
History on big Data
An information system is a structure that collect, process
and distribute information. It is based on computers and
people that processes the data. This is an information and
communication technology that the organisation uses and
the way people interact with this technology.