Developing a PhD Research Topic for Your Research | PhD Assistance UK

1. DEVELOPING A PHDRESEARCH TOPIC FOR YOUR RESEARCH: HOW DATA DRIVEN DECISION- MAKINGHELPS An Academic presentationby Dr.NancyAgens,Head,TechnicalOperations,Phdassistance Group www.phdassistance.com/uk Email:info@phdassistance.com

2. TODAY'SDISCUSSION Outline Introduction Data Driven DecisionMaking Guideline for DDDM Method Framework ofDDDM Benefits of DDDM for PhD Research Scholars Successful Outcomes of DDDM in VariousSector Conclusion

3. Introduction Every year approximately 77,000 scholars are enrolling for PhD research programs in India but only 1/3rd of them successfully complete thedoctorate. So itis necessary that the scholar thoroughly analyseand select a good PhD research topicbefore plunging into the researchwork. There are many methodologies and techniques introduced over a period for effective selection and decision making in variousfield. Data Driven Decision Making is a modern method which was found to be effective and efficient for strategic and systematic development and decisionmaking.

4. InData Driven Decision-Making methodevery decision made is backed up by the acquired data rather than making decisions purely based onobservation. Data Driven DecisionMaking (DDDM) This method processes the data and predicts the course of action before committing toit. When compared to intuitive and gut decisions, DDDM is safe, strategic, andsystematic. This modern method plays a vital role in various sectors such as business firm, management sectors, educational institutions, research unitsetc.

5. Steps to be followed for effective selection and precisedecision making: Guidelines for DDDMMethod Collect: Raw primary source information and thesecondary research is carried out and recorded in thisphase. Analyse: Simple quantitative and qualitative analysis is carried out to find links and similarities between each data source. Validate: Referring the acquired data with various data source to find its nature and predict the course ofaction. Act: Based on the results obtained from the previous steps, a proper data driven decision is made for futureuse. Contd..

6. Figure 1:Guideline for DDDMMethod

7. PROBLEM STATEMENT Selection and development of PhD research Topic is the problem stated byresearchers. The next step is collecting all the relevant data related to the research work foranalysis. CRITICALANALYSIS The collected data is analysed and compared with similar data available in the externalsource. This helps the scholar to predict the outcome of the problem and lead to evidentlyinsight. Frameworkof DDDM This section elaborates theframework ofdata driven decisionmaking exclusively for a PhD researchscholar. TESTPHASE Experimental analysis is carried out to validate and evaluate the feasibility of thesolution. Scholar must redo from step 2 until the desired solution is achieved. IN-DEPTHINSIGHT The key factors and characteristics are listed out in thisphase. It gives a clear solution and course of action of the given solution to theproblem. Contd..

8. 5 Frameworkof DDDM RESULTS It is conclusive that the results obtained from data is precise and effective compared to other decision-makingmethods. The obtained results are reliable for futureuse. This section elaborates theframework ofdata driven decisionmaking exclusively for a PhD researchscholar.

9. OBJECTIVEPROCESS: Benefits of DDDM for PhDResearch Scholars The results or decisions made by this method is purely based on the data and statistics obtained during the literature surveyphase. FACILITATES GREATERCONTROL: By employing this method the scholar can selectthe research topic effectively and save a lot oftime. PROMOTESTRANSPARENCY: This method purely relies on the available dataand information in finalising adecision. Contd..

10. DDDM is considered as effective and transparent method used for decisionmaking. INCREASESAGILITY: This method neatly sketches down all the opportunities to the scholar and betterinsights towards the outcome of theproject. BUILDS CONFIDENCE ANDCONSISTENCY: Since the scholar has a clear understanding and in-depth insight over the topic and the decisionsmade. This method is found to be less time consuming and more efficient when compared to other conventionalmethods.

11. Successful Outcomes of DDDM inVarious Sector: DBDM in reading interventions, clearly indicates the effectiveness of this method in educationsector. DDDM is oriented towards individual performance data and development and is found to be successful in educationalinstitutes. With the help of DDDM, teachers can easily monitor the individual performance of all thestudents. 2.MARKETING AND MANAGEMENT Walmart, an American multinational corporation which operates nearly 11,484 hypermarkets across theglobal. Contd.. 1.EDUCATION

12. Walmart made great profit by anticipating demand in the year2004. This incident is a solid proof for the importance of DDDM in marketingsector. 3.AVIATION INDUSTRY The competition and transaction involved in aviation industry is comparatively larger than the other industries. DDDM, Southwest airlines has its own customer base and standard which reflected a steady growth in the subsequent years.

13. Data driven decision making helps the PhD scholar in developing and selecting a Best Research Thesis topicfor his/her researchwork. Conclusion The framework of this system helps the scholar to critical analysis and making decisions solemnly based on analysed data. This results in clear objective, greater control,promotes transparency, builds confidence andconsistency. DDDM methodology is found to be effective andhigh beneficial irrespective of thesectors.

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