Business Analytical Reporting:
Business Analytical Reporting refers to the process of analysing business data to identify trends, patterns, and relationships that can be used to inform decision-making. The goal of business analytical reporting is to provide key stakeholders with actionable insights and help them understand the performance and dynamics of the business.
It typically involves the use of business intelligence tools, data visualization techniques, and statistical analysis methods. These tools and techniques allow analysts to summarize and present complex data in a meaningful way, enabling decision-makers to understand and act upon the information.
Big Data Analytical Reporting:
Big Data Analytical Reporting focuses on extracting insights and knowledge from large and complex datasets, commonly known as big data. Big data refers to the vast amount of structured and unstructured data generated from various sources, including social media, sensors, internet transactions, and more.
Big data analytical reporting involves the use of advanced analytics techniques, such as data mining, machine learning, and predictive modelling, to analyse and derive meaningful insights from these massive datasets. The objective is to uncover hidden patterns, correlations, and trends that traditional analytical methods may not reveal.
Big data analytical reporting often requires specialized tools and technologies designed to handle the volume, velocity, and variety of big data. This includes distributed computing frameworks like Apache Hadoop, data querying languages like Apache Hive, and machine learning platforms like TensorFlow or PyTorch.
In summary, while business analytical reporting focuses on analysing data within a business context to support decision-making, big data analytical reporting deals with large and complex datasets to uncover insights that can lead to strategic advantages.