Big Data Analytics Research and Development aims to advance the field of big data analytics by developing new methods, tools, and applications.

Natural Language Processing is not a common type of big data analytics technique, as it is primarily used for understanding and generating human language.

Data Mining is the process of extracting meaningful information from large datasets by identifying patterns and relationships.

Data Quality is not a common challenge associated with Big Data Analytics, as it is primarily concerned with the accuracy and completeness of data.

Predictive Analytics is the process of using historical data to predict future outcomes by identifying patterns and relationships.

Fraud Detection is not a common application of Big Data Analytics in the healthcare industry, as it is primarily used in the financial sector.

Business Intelligence is the process of using Big Data Analytics to improve business operations by identifying trends, patterns, and insights from data.

Tableau is not a common tool used for Big Data Analytics, as it is primarily used for data visualization.

Data Mining is the process of using Big Data Analytics to identify patterns and relationships in data by extracting meaningful information.

Fraud Detection is not a common challenge associated with Big Data Analytics in the retail industry, as it is primarily used in the financial sector.

Customer Analytics is the process of using Big Data Analytics to improve customer experience by identifying customer preferences, behaviors, and trends.

Customer Segmentation is not a common application of Big Data Analytics in the financial industry, as it is primarily used in the retail and marketing sectors.

Risk Management is the process of using Big Data Analytics to identify and mitigate risks by analyzing data and identifying potential threats.

Product Design is not a common challenge associated with Big Data Analytics in the manufacturing industry, as it is primarily used in the engineering and design sectors.

Supply Chain Management is the process of using Big Data Analytics to optimize supply chain operations by analyzing data and identifying inefficiencies.