Image3Why buy when you can get it for free?

Back at you! Here is the second fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you.

  1. Electronic data capture. An Electronic Data Capture (EDC) system is a computerized system designed for the collection of clinical data in electronic format for use mainly in human clinical trials. EDC replaces the traditional paper-based data collection methodology to streamline data collection and expedite the time to market for drugs and medical devices. EDC solutions are widely adopted by pharmaceutical companies and clinical research organizations (CRO).
  1. Sensor fusion. Sensor fusion is combining of sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. The term uncertainty reduction in this case can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision (calculation of depth information by combining two-dimensional images from two cameras at slightly different viewpoints).
  1. Digital asset management. Digital asset management(DAM) consists of management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.
  1. Automatic identification and data capture. Automatic identification and data capture (AIDC) refers to the methods of automatically identifying objects, collecting data about them, and entering that data directly intocomputersystems (i.e. without human involvement). Technologies typically considered as part of AIDC include bar codesRadio Frequency Identification (RFID)biometrics,magnetic stripesOptical Character Recognition (OCR)smart cards, and voice recognition. AIDC is also commonly referred to as “Automatic Identification,” “Auto-ID,” and “Automatic Data Capture.”
  2. Ethnography (from Greek ἔθνος ethnos “folk, people, nation” and γράφω grapho “I write”) is the systematic study of people and cultures. It is designed to explore cultural phenomena where the researcher observes society from the point of view of the subject of the study. An ethnography is a means to represent graphically and in writing the culture of a group. The word can thus be said to have a “double meaning,” which partly depends on whether it is used as a count noun or uncountably.[1] The resulting field study or a case report reflects the knowledge and the system of meanings in the lives of a cultural group.
  3. Knowledge Acquisition Interviews. Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules,objects, and frame-based ontologies.
  4. Focus groups. focus group is a form of qualitative research in which a group of people are asked about their perceptions, opinions, beliefs, and attitudes towards a product, service, concept, advertisement, idea, or packaging. Questions are asked in an interactive group setting where participants are free to talk with other group members.
  5. Qualitative surveys. Qualitative research is a method of inquiry employed in many different academic disciplines, including in the social sciences andnatural sciences, but also in market research, in business, and other contexts including service demonstrations by non-profits
  6. Quantitative surveys. In natural sciences and social sciencesquantitative research is the systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.

I hope you find the content useful. Of course, all thanks should really go to Wikipedia and their unpaid expert contributors.

I will try to get the next part of ‘ Free Business Analytics Content’ onto Linked Pulse over the next weekend.

Many thanks for reading.

Just a few points before closing.

Firstly, please consider joining The Big Data Contrarians, here on LinkedIn:

Secondly, keep in touch. My strategy blog is here and I can be followed on Twitter at @GoodStratTweet. Please also connect on LinkedIn if you wish. If you have any follow-up questions then leave a comment or send me an email on

Thirdly, you may be interested in other articles I have written, such as:

You may also be interested in some other articles I have written on the subject of Data Warehousing.

Data Warehousing explained to Big Data friends –

Stuff a great data architect should know –

Big Data is not Data Warehousing –

What can data warehousing do for us now –

Looking for your most valuable data? Follow the money –