Share On

Data Analytics

The process of studying data sets with the motive of drawing conclusions about the information that they contain, progressively more with the assistance of software and specialized systems, is called Data analytics. Commercial industries use data analytic technologies and methodologies to empower organizations to make business decisions that are more-informed. Data analytics is also used by scientists and researchers, who prove or invalidate scientific theories, models and hypotheses. Businesses can be greatly helped by data analytics, as revenues can be increased, operational efficiency can be improved and marketing campaigns can be optimized, ultimately helping in advancing the business performance.

Types of data analytics applications:

Descriptive:

This type of data analytics illustrates the main element of the data that is analyzed. It helps to make comparisons between different entities analyzed.

Exploratory:

The exploratory data analysis is usually used to find out unknown relationships between two or more involved entities. This type of analysis helps to find new links and also, to provide potential suggestion.   

Inferential:

This type of data analysis is used to bring out the details about a large population using a small portion or sample of the entire population.

Predictive:

Predictive analysis is useful to predict the possibilities of future happening base on historical data using data, statistical algorithms and methodologies of machine learning.  

Big Data Analytics using Apache Spark

White Paper By: DataFactZ Solutions

Apache Spark is the next-generation distributed framework that can be integrated with an existing Hadoop environment or run as a standalone tool for Big Data processing. Hadoop, in particular, has been spectacular and has offered cheap storage in both the HDFS (Hadoop Distributed File System) and MapReduce frameworks to analyze this data offline. New connectors for Spark will continue to...

Value of Clinical and Business Data Analytics for Healthcare Payers

White Paper By: Nous Infosystems

With the increasing need for business data analytics, healthcare payers must plan and implement solutions that make secondary use/re-use of data which is already available in various applications. This whitepaper to get an overview of the different sources of data, that payer systems can consider, advancements in bigdata, the challenges encountered, opportunities presented and listing of...

Data Visualization: Creating Impactful Reports

White Paper By: DataFactZ Solutions

Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper...

Data Center Infrastructure Management Enables You to Maximize IT Infrastructure Value

White Paper By: Panduit

The technological platforms such as cloud, big data, telecom industry, and social media are engaging towards better customer service, workforce collaboration, and cost efficient means. It is essential to address the maximizing of IT infrastructure and the efficiency of physical data centre in order to intelligently monitor the availability of resources. The Data Center Infrastructure...

Data Diversity and Cutting-Edge Insight For Sales And Marketing

White Paper By: Aberdeen Group

Today, the challenge for many organizations is that the variety of data needed for many innovative analyses is often locked away within other functional areas. Even with the inherent value in traditional customer applications, presently most compelling insights are actually derived by combining multiple different types of disparate data. This whitepaper focuses specifically on the sales...

How to Execute a Data-Driven Approach to the Cloud: Essential Insights for Successful Cloud Migration and Management

White Paper By: Cloudamize

Whether you're planning your cloud migration strategy or already in the cloud, making accurate cloud decisions requires a deep analytical approach.  Making the right cloud decisions on an ongoing basis to consistently achieve optimal performance at the lowest cost isn’t easy - or even possible - without having highly precise analytics to guide you, and making the wrong...

follow on linkedin follow on twitter follow on facebook 2018 All Rights Reserved | by: www.ciowhitepapersreview.com