FAQs - Soulpage IT Solutions

The process starts with data collection from various sources, followed by data curation, data processing, and data analysis. One can process every type of data available ( structured, unstructured, and semi-structured data)

Big data taps into huge data reservoirs that a business owns to generate valuable insights. Where business intelligence (BI) is the process of utilizing this data and any other sources of information for analytics purposes to help businesses in making more informed decisions

AI and Machine Learning can operationalize the insights delivered through big data analytics to relationships among the datasets and recognize knowledge using NLP can potentially automate and accelerate data processing to improve the accuracy of the models deployed.

Big data helps organizations to turn data into information and further leverage analytics technologies to turn the available information into intelligence for identifying new business opportunities. Which leads to smarter business decisions, more efficient operations, higher profits, and happier customers.

Big Data Analytics is the application of advanced analytics techniques on big data or extremely high volume datasets to generate business insights.