What is big data analytics?

SG Analytics  Global Insights & Analytics Company
Big data analytics refers to the process of examining large and varied data sets, or big data, to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. The goal of big data analytics is to help companies and organizations make more informed business decisions.

Traditional data processing tools and techniques are often inadequate for handling the volume, velocity, and variety of data generated in today's digital world. Big data analytics technologies provide the means to process and analyze data in real-time or near-real-time, allowing businesses to gain valuable insights quickly.
Oct 17th 2023 01:39   

Jack Wilson  Research Analyst at DataGardener
Big data analytics is the process of examining large and complex datasets, often referred to as "big data," to uncover hidden patterns, correlations, insights, and trends. It involves the use of various technologies, tools, and techniques to extract meaningful information and knowledge from data that is too voluminous, varied, and rapidly changing to be effectively analyzed using traditional data analysis methods.
Nov 7th 2023 06:54   

Dan G.  Data Analytics, Power bi, Anaplan
Big data analytics refers to the process of examining and interpreting large and complex datasets, known as big data, to uncover meaningful patterns, correlations, and insights. The term "big data" refers to datasets that are too large and intricate for traditional data processing tools to handle efficiently.

The key objectives of big data analytics are to extract valuable information, identify trends, make data-driven decisions, and gain a deeper understanding of various phenomena. Big data analytics involves the use of advanced analytical techniques, statistical models, machine learning algorithms, and other computational methods to analyze vast amounts of data.
Jan 9th 2024 23:25