Analytics Business Analytics White Paper 
Datavail
MARCH 3, 2022
Today’s advanced technologies provide data analytics programming to understand, learn from, and harness the values hidden deep in those data center depths. Data Science = Business Intelligence. Business Intelligence = Analytics. The nature of descriptive analytics programming is also significant.
Datavail
AUGUST 6, 2020
Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.
CTOvision
JUNE 10, 2015
We would also like to bring your attention to a white paper which captures more details on these lessons learned and use cases, which can be downloaded here: Download “SAS and Apache Hadoop for Government” SAS-And-Apache-Hadoop-for-Gov2.pdf pdf – Downloaded 239 times – 832 kB.
Datavail
APRIL 6, 2021
Oracle Analytics Cloud. PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle PaaS includes functionality for application development, content management, and business analytics, among others.
Datavail
MAY 5, 2021
Data analytics has become so valuable, and so in vogue, that more and more enterprise applications have been adding their own analytics features and capabilities. Below, we’ll discuss different ways that organizations have benefited from augmenting their traditional enterprise IT with powerful, forward-looking data analytics.
Datavail
FEBRUARY 3, 2021
Microsoft Power BI is a mature, feature-rich business analytics solution used by thousands of companies to get cutting-edge data-driven insights. However, there are a number of challenges with using Power BI straight out of the box (as we discuss in our white paper “ Power BI for Mid-Market Companies ”).
Datavail
OCTOBER 29, 2019
Perhaps the hardest part of big data analytics, according to Datanami, is assembling the data in a centralized location in the first place. Our white paper “Business Intelligence or Business Inconvenience? Download the white paper to see where we stand with the hottest innovations in the market.
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