Knowledge Process Outsourcing1 Turning Information into Knowledge... for YOU The Gyaan Team

Knowledge Process Outsourcing2 About us… We are students doing undergraduate courses at premier institutes, interested in offering our services to you. Our advantages: 1)online research skills 2)coding and software skills 3)access to exclusive knowledge (journals and scientific research) 4)speed and accuracy Main area of interest includes – specialized data search

Knowledge Process Outsourcing3 What can we do for you? Extract information from published research (public domain databases, or other journal articles) and organize the information collected Customization like visualizations, statistical analysis and presentations Extract scientific data from dynamic web pages on topics of your interest This will save on a lot of your valuable time and effort work on the raw data as per the demand of your data and if you prefer, we can analyze the data and return the results in a suitable format This is what we call converting INFO to Knowledge!

Knowledge Process Outsourcing4 How we plan to do this Our system of fool proof logical steps: Data collection Data processing Data analysis Output presentation to you in the desired format;.pdf /.xls /.pps etc…

Knowledge Process Outsourcing5 Organizing your data Organizing your data We have gained experience in retrieving highly specific data for various projects at different levels of specialization Can gain access to data mines like research journals, essay sites which are difficult to obtain (data collection) Familiar with organizing internal databases and creating query systems with SQL servers (data processing)

Knowledge Process Outsourcing6 Data Collection The different ways we obtain data include : - –Web mining – extracting scientific data of your interest from dynamic pages – (pages with multiple links) –Text mining - extracting scientific data of your interest from journals/research papers – Web surveys, blog surveys, and telephonic surveys

Knowledge Process Outsourcing7 Data Processing The procedure involved is as follows : - –Creating a highly organized internal database which can be accessed for specific information using Microsoft Access or SQL servers –Thereby organizing Information from public domain databases and journals into Knowledge, in a sensible format, of your preference, within hours!

Knowledge Process Outsourcing8 Data Analysis The data in the database can be filtered according to your needs by simple queries on a Microsoft Access platform Random information will be synchronized to your needs. Basic statistical analysis, of data collected through surveys, can be graphically analyzed with calculations on Regression analysis, SWOT analysis etc.statistical analysis

Knowledge Process Outsourcing9 What we give you We will deliver accurate information in a format demanded by you. Our research will be carried out effectively keeping in mind at all times your requirements and specifications. Thus what you get is fast and accurate result of the information you want. The information provided will be precise, organized and easily accessible. We will work on the raw data as per the demand of your data and if you prefer, we can analyze the data and return the results in a suitable format. What you will receive will be an outcome of our intensive analysis. Graphs flowcharts presentations statistical interpretations, if required.

Knowledge Process Outsourcing10 Interesting? To optimize benefits of your research, you will need time, expertise and an eye for detail. You can outsource this to us, for we’ve got just what you’re looking for! We understand that quality and accuracy of information are of utmost importance, and look forward to a correspondence from you. Contact us at: phone #:

Knowledge Process Outsourcing11 Information IS NOT Knowledge Information can be seen from a syntactic [a set of rules] and semantic [ making sense out of it] viewpoint; giving more value to seeing it from the semantic viewpoint, the information is seen to contain new meaning. To build a theory of knowledge creation it is important to concentrate on the semantic aspects of information. next

Knowledge Process Outsourcing12 The Spiral of knowledge in our procedure The technical procedure we do for you is as follows: 1) Conversion of Explicit info (in available texts) into a refined form by reconfiguration of existing information through sorting, adding, recategorization and re-contextualizing of explicit knowledge;the process is called "Combination” 2) Conversion of Explicit info into Tacit knowledge (knowledge with personal quality, bearing a cognizance of the human mind); the process is called “Internalization”. The Database created is this Tacit information. 3) Converting this tacit knowledge into a refined tacit form, with mentors, primarily based on experience and shared experience; the process is called "Socialization“. This refining is done by querying the database 4) Finally converting the refined Tacit knowledge into the Explicit form of your choice of format, which is the knowledge you need.

Knowledge Process Outsourcing13 Statistical data analysis (1) Factor Analysis: Helps identify the main reasons behind the sale of a brand. It helps identify a set of key factors which greatly influence further marketing decisions. Cluster Analysis: It helps sort different variables (customers) into a homogeneous group called a ‘cluster’. Customer segmentation is very essential for identifying the niche of a product, hence a company can fine tune its marketing strategies based on segment characteristics. next

Knowledge Process Outsourcing14 Statistical data analysis (2) Conjoint Analysis: This method of analysis compares the sale of the product at different levels of utility, say, the utility of a product in price level of Rs.400 or Rs.500, guaranteeing the company a sure success of the product in that segment. SWOT analysis: SWOT stands for Success, Weakness, Opportunities, Threat analysis. This helps to analyze a company’s business model thoroughly as well as examine the company’s future prospects. Correlation Analysis and Regression Analysis: Correlation analysis measures the degree of association between two sets of quantitative data. Among correlated variables, if one variable can be predicted from others, we can build a regression model and fine-tune it for such predictions.