Business analytics vs. data science. The more advanced areas of business analytics can start to resemble data science, but there is a distinction. Even when advanced statistical algorithms are applied to data sets, it doesn't necessarily mean data science is involved.
http://searchbusinessanalytics.techtarget.com/definition/business-analytics-BA
What it is and why it matters. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
https://www.sas.com/en_us/insights/analytics/big-data-analytics.html
Data analytics is also known as data analysis. Data analytics is primarily conducted in business-to-consumer (B2C) applications. Global organizations collect and analyze data associated with customers, business processes, market economics or practical experience.
https://www.techopedia.com/definition/26418/data-analytics
Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it.
https://datajobs.com/what-is-data-science
History and evolution of big data analytics. The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it.
https://www.sas.com/en_us/insights/analytics/big-data-analytics.html
Definition - What does Data Analytics mean? Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements.
https://www.techopedia.com/definition/26418/data-analytics
Data Analytic Technology: The New Game Changer. Marjella Alma is founder and CEO of eRevalue Ltd., a women-led technology company with offices in London and NYC. eRevalue offers Datamaran™, an emerging issues management system that delivers real-time analytics on new forms of regulatory, reputational and competitive risk and opportunity.
https://www.forbes.com/sites/christopherskroupa/2015/06/02/data-analytic-technology-the-new-game-changer/
For instance, eRevalue’s Datamaran includes more than 500 regulations that demand disclosure on this new generation of issues. Research shows that investing in these types of issues has expanded 76% in the past two years in the US alone, and over 94% between 2011 and 2013 in Europe.
https://www.forbes.com/sites/christopherskroupa/2015/06/02/data-analytic-technology-the-new-game-changer/
This aspect of data science is all about uncovering findings from data. Diving in at a granular level to mine and understand complex behaviors, trends, and inferences. It's about surfacing hidden insight that can help enable companies to make smarter business decisions.
https://datajobs.com/what-is-data-science
business analytics (BA) Analytics: Empower Line of Business Users and Data Scientists with One Tool –TIBCO Software Inc. Business analytics (BA) is the practice of iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision-making.
http://searchbusinessanalytics.techtarget.com/definition/business-analytics-BA
what is data analytic technology?
A data analytic technology is a qualitative and quantitative techniques and processes used to enhance productivity and business gain. The data analytic technology is, to qualitative and quantitative techniques and processes used to enhance productivity and business gain.