Reflection – Storytelling 

 Link between research and commercial 

 products / services 

 Challenge 

 The main problem that I face in the research institution I work for as a Business Development   Manager is the lack of understanding of potential outcomes of research projects which can be   used to develop new products . Many of my team members have an academic background ,   i.e. working as PhD or Post - docs with less industry experience . Therefore , their first priority is   to work on research projects and focus more on theoretical concepts rather than practical   concepts . However , in my case , I am responsible to derive potential products / services from   those research projects which is indeed a very difficult task and requires great imagination   power .      Selection   Based on the challenges described above , I chose the tool “ Storytelling ” since it will allow   me to create a story on particular outcome of research projects by putting them more into the   context of customer needs of industry clients ( referring to lecture 4 of week 2 , “ Storytelling   tool ” by Lorenzo Rosales ) . This would help to make my team members better understand the real   value behind the products / services which can help industry clients to reduce certain pain   points with less efforts . 

 Application   I applied the “ Storytelling ” tool in the following scenario :     Some of my colleagues work in the area of semantic data integration of big data . In the scope   of one specific research project the task was to create a semantic hybrid federated search   engine which would make it possible for the police to detect and trace potential criminals .      A short explanation on how the search engine works :   Following the input of a keyword , the search engine collects on demand data spread over   different data sources on the Web ( social networks , e - commerce platforms , Open Data ) . The   data is integrated into a coherent knowledge graph , results can be filtered , visualized and   display summaries . Currently , it is possible to search for people , organizations , and products .      This research project is still going on and lot of modification and adjustment are made to the   search engine . In order to create a commercial product out of this research project I spend   some time in analyzing the potential of this search engine and tried to find an appropriate way   to “ sell ” it as a unique product to the sales team by packaging it into a nice and user - friendly   story . I brainstormed on potential application areas of this product in order to move away from 

 the already known use case , i.e. the criminal analysis . In this way , I would open up new   opportunities / ideas for the development team .      New application area : Why not use this search engine in the HR department of companies .   HR officers spend much time gathering information about the skills and qualification of a   candidate for a job ( e.g. by searching on different platforms like LinkedIn ) . This problem can   be solved if those platforms are integrated to the search engine , allowing to search on just   ONE platform by browsing through many others .      I organized a workshop in which I invited the sales and development team and presented this   new application area by taking the role of a struggling HR manager searching for the right   people for his company and finally , getting to know about the semantic hybrid search engine   which allowed me to search on one platform and saved me a lot of time . I started with the   challenge or problem faced by HR managers , followed by a concrete use case , i.e. HR   manager is struggling and investing lot of time in searching for a suitable candidate for the   post of a Chief Innovation Officer . In the next step , the HR Manager discovers the great   semantic hybrid search engine enabling him to search on one platform and finding a good   match for the position . I concluded by highlighting the benefits of this product not only in the   crime domain but also in other domains like Human Resource Management . 

 Insight   I gained tremendous insights from applying the tool I selected for the challenge . Using this   approach , almost everyone in the workshop had a better understanding of the ideas and   participated with more interest on this particular use case . The development team   brainstormed on further enhancements with other platforms , i.e. LinkedIn . And , the sales team   took the role of the struggling HR Manager by elaborating on his / her pain in more depth . In   this way , the development team could easily respond to each of those pains by brainstorming   on technical adjustments / enhancement of the search engine . In conclusion , the development   team could focus on the technical modifications to create real value for potential customers   whereas the sales team successfully worked on a pitch for different customer groups . 

 Approach 

 Using the “ storytelling ” tool has been a great start . However , the next time I would organize a   follow - up workshop using the tool “ mind mapping ” . I would create one group consisting of   developers and the other one with the sales team . Both teams can use the stories and enrich   them with further insights by creating mind maps . They might explore more application areas   and opportunities for this product to reach a certain level of maturity . These maps can be   shared among the two different groups and also with others in our department to analyse the   different point of views and the further alignment to the departmental vision and goals . 

 Written by 

 Mrs. Raxa Kumari 

 Business Development & Project Manager for IoT 

 Germany 

 27.01.2017 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Raxa Kumari
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection – Storytelling 

 Link between research and commercial 

 products / services 

 Challenge 

 The main problem that I face in the research institution I work for as a Business Development   Manager is the lack of understanding of potential outcomes of research projects which can be   used to develop new products . Many of my team members have an academic background ,   i.e. working as PhD or Post - docs with less industry experience . Therefore , their first priority is   to work on research projects and focus more on theoretical concepts rather than practical   concepts . However , in my case , I am responsible to derive potential products / services from   those research projects which is indeed a very difficult task and requires great imagination   power .      Selection   Based on the challenges described above , I chose the tool “ Storytelling ” since it will allow   me to create a story on particular outcome of research projects by putting them more into the   context of customer needs of industry clients ( referring to lecture 4 of week 2 , “ Storytelling   tool ” by Lorenzo Rosales ) . This would help to make my team members better understand the real   value behind the products / services which can help industry clients to reduce certain pain   points with less efforts . 

 Application   I applied the “ Storytelling ” tool in the following scenario :     Some of my colleagues work in the area of semantic data integration of big data . In the scope   of one specific research project the task was to create a semantic hybrid federated search   engine which would make it possible for the police to detect and trace potential criminals .      A short explanation on how the search engine works :   Following the input of a keyword , the search engine collects on demand data spread over   different data sources on the Web ( social networks , e - commerce platforms , Open Data ) . The   data is integrated into a coherent knowledge graph , results can be filtered , visualized and   display summaries . Currently , it is possible to search for people , organizations , and products .      This research project is still going on and lot of modification and adjustment are made to the   search engine . In order to create a commercial product out of this research project I spend   some time in analyzing the potential of this search engine and tried to find an appropriate way   to “ sell ” it as a unique product to the sales team by packaging it into a nice and user - friendly   story . I brainstormed on potential application areas of this product in order to move away from 

 the already known use case , i.e. the criminal analysis . In this way , I would open up new   opportunities / ideas for the development team .      New application area : Why not use this search engine in the HR department of companies .   HR officers spend much time gathering information about the skills and qualification of a   candidate for a job ( e.g. by searching on different platforms like LinkedIn ) . This problem can   be solved if those platforms are integrated to the search engine , allowing to search on just   ONE platform by browsing through many others .      I organized a workshop in which I invited the sales and development team and presented this   new application area by taking the role of a struggling HR manager searching for the right   people for his company and finally , getting to know about the semantic hybrid search engine   which allowed me to search on one platform and saved me a lot of time . I started with the   challenge or problem faced by HR managers , followed by a concrete use case , i.e. HR   manager is struggling and investing lot of time in searching for a suitable candidate for the   post of a Chief Innovation Officer . In the next step , the HR Manager discovers the great   semantic hybrid search engine enabling him to search on one platform and finding a good   match for the position . I concluded by highlighting the benefits of this product not only in the   crime domain but also in other domains like Human Resource Management . 

 Insight   I gained tremendous insights from applying the tool I selected for the challenge . Using this   approach , almost everyone in the workshop had a better understanding of the ideas and   participated with more interest on this particular use case . The development team   brainstormed on further enhancements with other platforms , i.e. LinkedIn . And , the sales team   took the role of the struggling HR Manager by elaborating on his / her pain in more depth . In   this way , the development team could easily respond to each of those pains by brainstorming   on technical adjustments / enhancement of the search engine . In conclusion , the development   team could focus on the technical modifications to create real value for potential customers   whereas the sales team successfully worked on a pitch for different customer groups . 

 Approach 

 Using the “ storytelling ” tool has been a great start . However , the next time I would organize a   follow - up workshop using the tool “ mind mapping ” . I would create one group consisting of   developers and the other one with the sales team . Both teams can use the stories and enrich   them with further insights by creating mind maps . They might explore more application areas   and opportunities for this product to reach a certain level of maturity . These maps can be   shared among the two different groups and also with others in our department to analyse the   different point of views and the further alignment to the departmental vision and goals . 

 Written by 

 Mrs. Raxa Kumari 

 Business Development & Project Manager for IoT 

 Germany 

 27.01.2017
### Output: 