Q Paper for Analytics, Big Data, and Supernumerary Intelligence (SI) Review the Learning Resources, focusing on SI Home, - Analytics, Big Data, and Supernumerary Intelligence (SI) Analytics, Big Data, and Supernumerary Intelligence (SI) Supernumerary intelligence (SI) Most of us has spent maximum part of our life while looking and searching for qualitative relationships. For instance, people often ask about how much time of good sleep is necessary to remain healthy, or what amount of calories should be shed down to lose weight. Thus these quantitative questions can be followed and are dependent on some other qualitative questions. It is therefore necessary for an individual to determine the amount of time of extra sleep which makes him or her feel better psychologically or mentally rather than calculating the time to sleep. Similarly, for an individual to reduce weight he or she should primarily focus on the health rather than on becoming slim. He or she should consume or reduce calorie with the intension of having a sound health. Thus, the answers to the quantitative and qualitative questions are related to elements such as healthy foods, exercise, when to eat, what to eat and many more. Therefore, people often look for such intelligence which not only provide the numerical figures but also give information beyond that. Such an intelligence is named as supernumerary intelligence (SI) (Dickey, Birdsall, Larkin, & Kim, 2015). Quantitative CyberQuest (QCQ) and Public Administration Genome Project (PAGP) In order to add to the search for supernumerary intelligence (SI), two more useful tools can included, namely; Quantitative CyberQuest (QCQ) and the Public Administration Genome Project (PAGP). Quantitative CyberQuest (QCQ) is defined as an analytical tool philosophy which helps in discovering and evaluating the supernumerary to certain extent. It is an effective and efficient tool for sorting out and identifying the variables associated with the qualitative and qualitative questions along with their interrelations. It also involves a mixture of system analysis, statistics, qualitative research, research methodology, as well as the artificial intelligence. According to Wyatt et al (Wyatt, 2010), Quantitative CyberQuest (QCQ) is a relatively easy and user friendly tool, but yet is a very powerful and strong set of guidance mechanisms and tools which can pilot (direct) the user or cyber part in their quest for finding the answers to supernumerary relationships. On the other hand, Public Administration Genome Project (PAGP) can be defined as the step to digitally map and then meaningfully employ those set of variables, topics, and interrelationships. These variables, topics, and interrelationships are assumed to be consist of the total genes which can build up the public administration. Public Administration Genome Project (PAGP) is considered as one of the best and highly regarded Human Genome Project. In general, it is seen that the administration world is changing into a more diverse and complicated world. Thus, it can be expected from very few administers to know the relevant strategies, impacts, and external forces which is suitable and appropriate for a particular situation. Thus, there is an urgent requirement of a readily accessible, logic based, comprehensive system which can help the people in finding and describing the interrelationship between variables of certain topics associated with supernumerary intelligence (Dickey, 2009). Supernumerary intelligence and other analytical methods Supernumerary intelligence (SI) can described as a completely different approach as compared to that of the basic analytical methods. Taking in account the content view, SI consists of data, which can be said as something more than the mere data, which cannot be discussed with the help of mixed methods research. It consists of intelligence which differentiate it from the current mode of knowledge. It is the combination of both quantitative and qualitative data in a very basic level with the intention to create a blended form of intelligence. The SI data is very informative for the user who are confused with their daily issues. One of the repository example of the SI data is the development in the Public Administration genome Project (PAGP). In addition to this, the SI not only integrate the qualitative and quantitative data but also needs the incorporation of various types of the paradigmatic thinking. For instance, it integrates science, arts, synthesis, and analysis, right brain and left brain thinking. In the left brain of the system, it formulates the linear process just as the mathematical approach (Dickey, Birdsall, Larkin, & Kim, 2015). While in the right brain of the system, it formulates the non-linear process which requires creative approach. As a result, it provides the integration and assimilation of all these concept in the final step. Thus the effective use of both QCQ and PAGP can help in improving the SI and making the human life much easier.