What is Data Analysis

1.

It is a process of inspecting, refining, transforming, and modeling data with the aim of extracting useful information, deducing conclusions, and enabling decision-making. Learn more in: Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application

2.

Evaluating data with analytical and logical perceptive to survey each element of the data. Learn more in: Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method with Optimal Weights

3.

A process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Learn more in: Internet of Things and Big Data-Driven Data Analysis Services for Third Parties: Business Models, New Ventures, and Potential Horizons

4.

Systematic processing of large datasets, often in real or near-real time, and their presentation in ways that can support the decision-making process. Learn more in: The Big Data Era: Data Management Novelties for Visualizing, Exploring, and Processing Big Data

5.

The process of systematically applying statistical and logical techniques to describe, summarize, and compare data; it is the process by which the data requirements of a functional area are identified, element by element. Each data element is defined from a business sense, its ownership is identified, and users and sources of that data are identified. These data elements are grouped into records, and a data structure is created which indicates the data dependencies. Learn more in: E-Learning Applications through Space Observations

6.

Data Analysis is a process of gathering and extracting information from the data already present in different ways and order to study the pattern occurs. Learn more in: Data Analysis on Global Stratification

7.

The process of inspecting, cleaning, transforming, and modeling data with the goal of extracting useful information. Learn more in: Input Analysis for Stochastic Simulations

8.

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. Learn more in: Accelerating the Digitalization of the Supply Chain: An Empirical Research About COVID-19 Crisis

9.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Big Data, Who Are You?

10.

The process of collecting, organizing any data in proper order is comes under the data analysis. In analytical and logical reasoning to gain information these data analysis used. Learn more in: Information Technology Act 2000 and the Potential Use of Data Analytics in Reducing Cybercrime in India

11.

The analysis of time course data from a system in order to understand the nature of the signal generating mechanisms associated with a system. These are often unwanted noise or errors in the process and are used to modify or correct the mathematical model. Learn more in: Systems and Control Theory for Medical Systems Biology

12.

It is a set of techniques that allow us to examine a data set with the aim of obtaining a set of conclusions that can facilitate later decision-making. Learn more in: Statistical Techniques for Research

13.

The process that collects raw data and turns it into meaningful and useful information using statistical methods. Learn more in: Urban Energy Efficiency Assessment Using Stochastic and Deterministic Data Analysis: A Proposed Sustainable Urban Energy Assessment

14.

A systematic use of data to drive fact-based decision making for measurement, planning, learning, and management. Learn more in: Data Analysis and Integration in Healthcare

15.

A process of dealing with data with the main objective to discover useful information, support decision-making processes, and draw conclusions. Learn more in: How to Encourage Reflective Practice With the Help of Collaborative Video Annotation: Social Video Learning in Teacher Education

16.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: First of All, Understand Data Analytics Context and Changes

17.

This is the process of gathering and organizing data to allow for the formulation of meaningful and relevant conclusions. Learn more in: Survey Forms for Data Collection: Key Considerations

18.

This is the analysis of learner data to make the best use of time and see student outcomes before it occurs to avoid adverse consequences. Learn more in: Artificial Intelligence and Machine Learning in Higher Education

19.

Data analysis is the collection of data processing techniques to extract meaningful information, which is beneficial to support different decision-making tasks. Learn more in: A Generalized Overview of the Biomedical Image Processing From the Big Data Perspective

20.

The process and techniques for transforming and evaluating information using qualitative or quantitative tools to discover findings or inform conclusions. Learn more in: Transformation of the Dissertation: From an End-of-Program Destination to a Program-Embedded Process

21.

As a result of data analysis, cleaning, transformation and modeling, It is an important process that supports obtaining useful information, making information and making decisions. Learn more in: Strategic Approach to Business Intelligence and Its Impacts on Organizational Performance

22.

This is a class, of statistical methods, that makes it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Plan and Rules for Data Analysis Success: A Roadmap

23.

It is an activity which works on collected data sets to search for patterns, trends, relationships or any kind of useful information. Learn more in: An Evolving System in the Text Classification Problem

24.

The process of systematically applying statistical and/or logical techniques to describe and evaluate data. Learn more in: Exploratory Data Analysis on Breast Cancer Prognosis

25.

It is the process of inspecting, cleansing, transforming and modelling data to discover useful information, informing conclusions and supporting decision- making. Learn more in: The Role of Information Professionals in South Africa in the Provision of Information During COVID-19

26.

Is a family of statistical methods whose main characteristics are that they are multidimensional and descriptive. Learn more in: K-Nearest Neighbors Algorithm (KNN): An Approach to Detect Illicit Transaction in the Bitcoin Network

27.

The process that collects raw data and turns it into meaningful and useful information using statistical methods. Learn more in: A Renewable Energy Assessment Method by Parametric and Non-Parametric Models' Data Analysis

28.

This is a class of statistical methods that makes it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Investigating the Factors for Predictive Marketing Implementation in Algerian Organizations

29.

Related to a website, data analysis involves the interpretation of logged data maintained generally for a website and specifically related to the needs of researchers. Learn more in: Designing Medical Research Web Sites

30.

Reviewing collected information to identify trends or patterns. Learn more in: Motives and Methods for Quantitative FLOSS Research

31.

Logical Operations to Evaluate Data. Learn more in: Big Data Analysis in IoT

32.

A process of inspecting, adapting, and modeling data with the goal of discovering useful information and decision making. Learn more in: Innovative Formalism for Biological Data Analysis

33.

A process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Learn more in: Evaluation of Strategic Opportunities and Resulting Business Models for SMEs: Employing IoT in Their Data-Driven Ecosystems

34.

Examining data for to extract information with the help of a set of computational methods or techniques that range from basic descriptive statistical techniques to more sophisticated data mining. Learn more in: Demand Forecasting Models With Time Series and Random Forest

35.

It is a process of collecting, transforming, and modeling data to highlight information that suggests conclusions and supports decisions. Learn more in: From the Data to the Statistical Analysis of Football: The Case of the Italian Serie A League

36.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Big Data Applications in Business

37.

This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better. Learn more in: Building an Analytics Culture to Boost a Data-Driven Entrepreneur's Business Model

38.

Data analysis is a process, where data is parsed and filtered through systematic procedures and methods to get useful information which helps in decision making and helping with possible conclusions. Learn more in: Web 2.0 Mash-Up System for Real Time Data Visualisation and Analysis Using OSS

39.

The process of breaking down units into individual pieces for comparative and contrasting analysis, seeking intersection between pieces to identify patterns, and examining outliers to best understand how the pieces work in aggregate to explain the whole. Learn more in: Collective Case Study: Making Qualitative Data More Impactful

40.

This refers to the act of making sense out of the raw collected data from research, for purposes of resolving the research problem. Without data analysis, the data collected will remain data, and will not make sense and thus not provide answers to the research question. Learn more in: Research Methodologies Used in Library and Information Studies Masters' Degree Dissertations at the University of Botswana