"Business Intelligence procedures and techniques for exploration and analysis of data to discover and identify meaningful information and trends." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"Procedures and techniques for exploration and analysis of data to discover and identify new and meaningful information and trends." (Craig S Mullins, "Database Administration", 2012)
"A data-driven process that creates insight. These processes incorporate a wide variety of techniques and may include manual analysis, reporting, predictive models, time-series models, or optimization models." (Evan Stubbs, "Delivering Business Analytics: Practical Guidelines for Best Practice", 2013)
"A suite of technical solutions that uses mathematical and statistical methods. The solutions are applied to data to generate insight to help organizations understand historical business performance as well as forecast and plan for future decisions." (Jim Davis & Aiman Zeid, "Business Transformation", 2014)
"Analytics is the discovery and communication of meaningful patterns in data." (Elaine Biech, "ASTD Handbook" 2nd Ed., 2014)
"The business intelligence and analytics technologies that are grounded mostly in data mining and statistical analysis." (Xiuli He, "Supply Chain Analytics: Challenges and Opportunities", 2014)
"Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain." (Piyush K Shukla & Madhuvan Dixit, "Big Data: An Emerging Field of Data Engineering", 2015)
"The act of extracting and communicating meaningful information among the data sets." (Hamid R Arabnia et al, "Application of Big Data for National Security", 2015)
"A broad term that includes quantitative analysis of data and building quantitative models. Analytics is the science of analysis and discovery. Analysis may process data from a data warehouse, may result in building model-driven DSS, or may occur in a special study using statistical or data mining software. In general, analytics refers to quantitative analysis and manipulation of data." (Daniel J Power & Ciara Heavin, "Decision Support, Analytics, and Business Intelligence" 3rd Ed., 2017)
"A scientific and systematic approach to examine raw data in order to draw valid conclusions about them. Data are extracted and structured, and qualitative and quantitative techniques are used to identify and analyze patterns." (Lesley S J Farmer, "Data Analytics for Strategic Management: Getting the Right Data", 2017)
"Techniques used to identify patterns in data sets. Qualitative and quantitative techniques are employed to derive meaning that may be valuable and could result in a positive business gain for an organization." (Daniel J Power & Ciara Heavin, "Decision Support, Analytics, and Business Intelligence" 3rd Ed., 2017)
"The discovery, interpretation, and communication of meaningful patterns in data to inform decision making and improve performance." (Jonathan Ferrar et al, "The Power of People: Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance", 2017)
"Analytics refers to quantitative and statistical analysis and manipulation of data to derive meaning. Analytics is a broad umbrella term that includes business analytics and data analytics." (Daniel J. Power & Ciara Heavin, "Data-Based Decision Making and Digital Transformation", 2018)
"Involves drawing insights from the data including big data. Analytics uses simple to advanced tools depending upon the objectives. Analytics may involve visual display of data (charts and graphs), descriptive statistics, making predictions, forecasting future outcomes, or optimizing business processes." (Amar Sahay, "Business Analytics" Vol. I, 2018)
"Is the science of examining raw data with the purpose of drawing actionable information from it, data analytics is used to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing theories." (Dennis C Guster, "Scalable Data Warehouse Architecture: A Higher Education Case Study", 2018)
"Data analytics is a process that examines, clears, converts and models data to explore useful information, draws conclusions and supports decision making." (A Aylin Tokuç, "Management of Big Data Projects: PMI Approach for Success", 2019)
"A rapidly emerging field of information science arising from the explosion of data generated by many Internet based applications and services. Data analytics embodies a sequential process of descriptive, diagnostic, predictive and prescriptive analytics. Each type has a different purpose and requires different techniques to gain meaningful outcomes. The latter two often employ machine learning to gain valuable insights and directional guidance in decision making, such as in self-driving automobiles." (Darrold L Cordes et al, "Transforming Urban Slums: Pathway to Functionally Intelligent Cities in Developing Countries", 2021)
"Discovery, interpretation, and communication of meaningful patterns in data; and the process of applying those patterns towards effective decision making." (Francisco S Gutierres & Pedro M Gome, "The Integrated Tourism Analysis Platform (ITAP) for Tourism Destination Management", 2021)
"The science of extracting meaningful information continuously with the assistance of specialized system for finding patterns to get feasible solutions." (Selvan C & S R Balasundaram, "Data Analysis in Context-Based Statistical Modeling in Predictive Analytics", 2021)
"Analytics encompasses the discovery, interpretation, and communication of meaningful patterns in data. It relies on the simultaneous application of statistics, computer programming and operations research to quantify performance and is particularly valuable in areas with large amounts of recorded information. The goal of this exercise is to guide decision-making based on the business context. The analytics flow comprises descriptive, diagnostic, predictive analytics and eventually prescriptive steps." (Accenture)
"Data Analytics describes the end-to-end process by which data is cleaned, inspected and modeled. The objective is to discover useful and actionable information that supports decision-making." (Accenture)
"Data analytics enables organizations to analyze all their data (real-time, historical, unstructured, structured, qualitative) to identify patterns and generate insights to inform and, in some cases, automate decisions, connecting intelligence and action." (Tibco) [source]
"Data analytics is a set of technologies and practices that reveal meaning hidden in raw data." (Xplenty) [source]
"Data and analytics is the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences." (Gartner)
"Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software." (Techtarget) [source]
"Data analytics is the process of querying and interrogating data in the pursuit of valuable insight and information." (snowflake) [source]
"Data analytics is the pursuit of extracting meaning from raw data using specialized computer systems. These systems transform, organize, and model the data to draw conclusions and identify patterns." (Informatica) [source]
"Data analytics refers to the use of processes and technology to combine and examine datasets, identify meaningful patterns, correlations, and trends in them, and most importantly, extract valuable insights." (Qlik) [source]
"The discovery, interpretation, and communication of meaningful patterns in data. They are essentially the backbone of any data-driven decision making." (Insight Software)
"The process and techniques for the exploration and analysis of business data to discover and identify new and meaningful information and trends that allow for analysis to take place."(Information Management)
No comments:
Post a Comment