Thesis Concept Km V0.2


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Thesis Concept Km V0.2

  1. 1. Thesis: Knowledge Management Systems Thesis Studio: Fall 2009 Amber Krishan | MFA DT
  2. 2. Domains Knowledge management Wearable and computer vision technologies Competitive Advantage Imperative competitive Advantage Efficient information collection, processing & dispersion Embracing modern technologies Financial Consultancies
  3. 3. What is Knowledge Management? Information Collection from real world experiences Processing information into knowledge Contextual Knowledge Distribution ORGANIZATION WORLD
  4. 4. Domains & Precedents Knowledge management Wearable and computer vision technologies Competitive Advantage Imperative competitive Advantage Efficient information collection, processing & dispersion Embracing modern technologies Financial Consultancies Jerome Nadel (VP user experience, Sagem Wireless) Ed Dale (manger , CBK, Ernst & Young) Knowledge Management Case Study ,Thomas H. Davenport, Phd, KM Quickies, intelligent sticky notes - Pranav Mistry and Pattie Maes ReachMedia: On-the-move interaction with everyday objects Meme Tags and Community Mirrors Wearable Key: Device for Personalizing nearby Environment
  5. 5. Knowledge Management at Ernst & Young Center of Business Knowledge (CBK) Center of Business Innovation (CBI) Center of Business Technology (CBT) Create new Knowledge Structure knowledge into methods and automated tools Gather and store both the firm’s acquired knowledge and external knowledge and information <ul><li>Advisory </li></ul><ul><li>Assurance </li></ul><ul><li>Tax </li></ul><ul><li>Transactions </li></ul><ul><li>Strategic growth markets </li></ul><ul><li>Specialty Services </li></ul>
  6. 6. Knowledge management Challenges KM = Competitive Advantage <ul><li>Raw Data collection </li></ul><ul><ul><li>Inconsistent collection </li></ul></ul><ul><ul><li>Lack of standardization </li></ul></ul><ul><ul><li>Data Accuracy </li></ul></ul><ul><li>Processing raw data into knowledge </li></ul><ul><ul><li>Data Interpretation </li></ul></ul><ul><ul><li>Data Relevancy </li></ul></ul><ul><ul><li>Large and complex knowledge base </li></ul></ul><ul><li>Contextual Knowledge distribution </li></ul><ul><ul><li>Ease of Access </li></ul></ul><ul><ul><li>Effectively leveraging knowledge to ensure success of future projects </li></ul></ul><ul><ul><li>Ability of the data to support/deny hypotheses </li></ul></ul>
  7. 7. Key Question? How can knowledge be leverages across the organization ?
  8. 8. The Need Knowledge is stored in databases and archives! Users find it hard to learn all. Corporate environment does not support or facilitate conversation, rather enforces technologies which create a social divide. Knowledge in all its granularity resides within the minds of the employees. Don’t make me search through archives! I just need to ask someone. I just don’t know who!
  9. 9. Early Concepts  Wearable device scans the work environment to locate people with similar focus of work.
  10. 10. Early Concepts  Name tag type devices swapping relevant information  Device with knob type control to set focus of search to particular service lines
  11. 11. Understanding the life of consultant – Daily Life Model Typical Day at E&Y (for a typical consultant)  Reach workstation and switch on the PC/laptop Reach out to colleagues and typical morning greeting Read through the mail / scan through the list of thing to do Reach out to team and understand the overall plan of the day Address priority clients first and subsequently allocate the work amongst the team Keep the internal messenger on to reach out to team (outside locations) to administer progress During the day – connect on conference calls, video conferencing and attend meetings with the partner to appraise him of the progress Work on the deliverable through the day Evening – Follow up on the pending issues and try to adjust the timelines for deliverables
  12. 12. Understanding the life of consultant – Typical knowledge management problems Faced within Projects Faced across organization Issues Applicable to Thesis Focus Getting to understand the best practices for the industry/Lack of industry specific information ✗ Working with different teams having different competencies and knowledge base (person specific knowledge base e.g. – a person may be good in X but he might not be good in Y kind of work, but because overall since he knows a little bit of both X and Y he is in the team) ✔ Lack of system integrity to dispense knowledge amongst teams working across locations (E.g – mail size of ppts are huge and the network esp remote networks cannot cope with the same) ✔ Scattered knowledge platforms proving a hindrance to completion ✔ EY doesn’t always subscribe to key information/research information portals to ease out on knowledge management challenges ✗ Reaching out to internal knowledge sharing platforms (poor connectivity) ✗ Non – updation of the internal knowledge platform ✗ Lack of sharing amongst teams – Data is privy to most of the teams ✔ Absence of e-learning modules for some of the key deliverables ✗ Absence of real time updation of project completion status and bottlenecks ✗ Absence of real time solutions for the bottlenecks faced ✔ These challenges are consistent across service lines ✗
  13. 13. Understanding the life of consultant – Persona <ul><li>John works full-time at the Ernst and Young, Times square office. He juggles a fast paced career with family life and is very conscious about using his time productively. He strives to be efficient in whatever he does. He tries to provide his family with the best of everything. </li></ul><ul><li>Keeps up with fashion and latest gadgets. </li></ul><ul><li>Typically carries his laptop and blackberry to work. Is thinking about buying an iPhone. </li></ul><ul><li>Demographics </li></ul><ul><li>28 years old </li></ul><ul><li>Married </li></ul><ul><li>Masters Degree in Business Administrations </li></ul><ul><li>Motivations </li></ul><ul><li>Wants to get the best in life, so wants to excel at his work </li></ul><ul><li>Likes to make friends with people and work collaboratively </li></ul>John Smith Things I want to know Things I want to do <ul><li>What are other teams working on? </li></ul><ul><li>What knowledge is relevant to my work? </li></ul><ul><li>What similar projects have been done previously? </li></ul><ul><li>Get to know what others are good at and contact them for help </li></ul>
  14. 14. Understanding the life of consultant – User Scenario Organization Outside World Core Team John Smith needs to make a Proposal for a Client for Risk Advisory John Smith Starts to develop the outline for the report Looks for best practice examples Passes outline to team member to start putting in facts Meanwhile he researches related projects John begins the analysis and adds the results to the report Hunts for appropriate recommendations Manager/ Senior provides a guideline about the project Deliverable may be dispatched through print/email He passes the completed report onto the manager for validation and approval
  15. 15. Prototypes Test Questions: Do domain experts volunteer and respond to a question? Test Audience: Parsons community <ul><li>Observations: </li></ul><ul><li>Community responded to this prototype </li></ul><ul><li>5 people responded and provided useful feedback </li></ul><ul><li>Most people viewed the prototype with some were amused </li></ul><ul><li>Conclusion: </li></ul><ul><li>Community responds well to queries when it is in context </li></ul><ul><li>Information gleaned from a conversation is very granular and </li></ul>
  16. 16. Prototypes Test Questions: Does the community respond to an anonymous query and contribute valuable information which can be actualized? Test Audience: Parsons community <ul><li>Observations: </li></ul><ul><li>Community did not respond well to this prototype </li></ul><ul><li>2 people responded with one liners which were marginally useful </li></ul><ul><li>Most people ignored the prototype </li></ul><ul><li>Conclusion: </li></ul><ul><li>Community does not respond to general queries and treats them like advertisement </li></ul><ul><li>Any data gathered through this process is superficial and not granular </li></ul>
  17. 17. Next Steps Continue further research Further ideation Explore possible technologies early on