From my discussion with math lecturer and information system lecturer,they say statistics is foundation of data mining that goes along to business intelligence on to knowledge management that using big data as its material to analyze.
I need your expert opinion and reference on this.
Different people have different definitions of the terms. Sabherwal and Becerra-Fernandez define BI as "providing decision makers with valuable information and knowledge by leveraging a variety of sources of data as well as structured and unstructured information." Knowledge Management refers to "doing what is needed to get the most out of knowledge resources: creating, sharing and applying knowledge." Data Mining is "the process of discovering hidden patterns from data stored in electronic form." Big data refers to large quantities of data (exactly how large is a discussion point. Statistics would be the foundation of data mining.
Hope this helps!
Dear Dony, let me invite you to the Conference :BdKCSE’2014 – Big Data, Knowledge and Control Systems Engineering ! The link is attached!The International Conference “Big Data, Knowldedge and Control Systems Engineering” (BdKCSE’2014) aims to provide an open forum for the dissemination of the current research progress, innovative approaches and original research results on all aspects of Big Data Management, Technologies, and Applications.
I will join the discussion later!
http://conference.ott-iict.bas.bg/
Different people have different definitions of the terms. Sabherwal and Becerra-Fernandez define BI as "providing decision makers with valuable information and knowledge by leveraging a variety of sources of data as well as structured and unstructured information." Knowledge Management refers to "doing what is needed to get the most out of knowledge resources: creating, sharing and applying knowledge." Data Mining is "the process of discovering hidden patterns from data stored in electronic form." Big data refers to large quantities of data (exactly how large is a discussion point. Statistics would be the foundation of data mining.
Hope this helps!
There are certain techniques used for analyzing business process data. One of the most prominent groups of these techniques is called Business Intelligence [1]. Business Intelligence (BI) can be defined as the combination of products, technology, and methods to organize key information that enterprises need to improve profit and performance. The main role of BI in an enterprise is leveraging information assets in terms of business information and business analyses within the context of key business processes that lead to accurate decisions and actions resulting in improved business performance. BI mainly deals with capturing and assessing various aspects of an enterprise, its customers and competitors. These techniques are used in gathering, storing, analyzing, and providing access to intelligent information about big data (refers to volume of data collected by an organization / enterprise data) in order to identify significant trends or patterns that assist decision-making process. Therefore enterprises can make more accurate decisions about tactical and strategic managerial issues; like determining their supply chain or competing in a specific market. BI applications commonly used in DSSs are query and reporting, OLAP, statistical analysis, forecasting, and data mining. Data mining is used for finding and extracting meaningful knowledge in corporate data warehouses that can support business decisions. It is a complementary tool to other data analysis techniques such as statistics, OLAP, spreadsheets, and basic data access. Data mining discovers patterns and relationships hidden in data, and it is considered to be the core stage of Knowledge Discovery in Databases. These applications usually use data gathered from a data warehouse or a data mart and they also can be a part of an Enterprise Resource Planning System. BI methodologies are commonly used for Knowledge Management activities to make business data driven through strategies and practices to identify, create, represent, distribute and enable adoption of experiences that are true business knowledge. to improve organizational performance.
[1] Erhun Giray TUNCAY and Önder BELGİN. EFFECTS OF BUSINESS INTELLIGENCE TECHNIQUES ON ENTERPRISE PRODUCTIVITY (Available online)
Statistics - Arranged Data and Formulas
Data mining - Search / scramble process
Business intelligence - Subject Areas Expertise
Knowledge management - Application of Information /data
Big data -
- Meaningful data ( processed / non-processed)
- Non-Meaningful data
- Badges
- Science topic
- Similar topics
- Computer Science
- Data Mining