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  1. Interview preperation
  2.  
  3. Q - 1. Are you comfortable making cold calls?
  4. A - Yes I have work experience working in back office customer service where many cold calls was standard procedure, I am very confident in my phone ediquite and ability to build rapport with clients on the phone.
  5.  
  6. Q - 2. What sales experience do you have in the tech field?
  7. A - I would be bluffing If I said I had vast experiences in tech sales, I have got a long history with sales in general and believe I am very capable of researching and absorbing information and do have experience on the implementation of b2b software sales on the client side, I believe this would put me at an advantage over others in that I understand what the feedback and follow through stages of the sales would be like, I think in most industries a large proportion of sales are lost through lack of follow through and feedback implementation, if a sale has went to a competitor the best way to prevent that happening in the future is to follow up with the client and find out what is was that attracted them to our competitor, whether that's pricing or presentation or otherwise could be invaluble information in the future.
  8.  
  9. Q - 3. What do you know about our company?
  10. A - I know that Datatics is a company that is primarily involved in data quality and management with an emphasis on making software that refines, categorises and optimises big data with applications that are designed to be usable by those without coding knowledge by focusing on a user friendly GUI, you also, from my understanding specialise in financial institute regulatory sectors and banking but also branch into areas like gov tech and AI.
  11.  
  12. Q - 4. What makes you a good salesperson?
  13. A - I'm an ambitious person who is highly motivated which is in part due to my competitiveness and if I'm honest I have a bit of an ego when it comes to sales figures and knowing my stuff, I pride myself on my ability to research complex topics and understand them in a greater context and make sure that I know everything there is to know about the product I'm selling so that I can answer any queries a customer may have.
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  15. I have excellent communication skills which has been drilled into me from years of working in both sales and customer service so that regardless of if it's face to face, over the phone or through text I always represent the company well, in past roles I have always taken the inititive, when the Harlequins CRM and Broadband placement system was in it's implementation stages I took it upon myself to become extremely proficient in it and ended up being the main trainer for it, when there were issues with the system people came to me for advise on work arounds and contingencies, it became clear that BT the provider needed feedback in relation to this and I became the person liasing between TechM and BT for the implementation period, this included providing bug reports and suggesting quality of life improvements to increase work place efficiency.
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  17. One example would be the amalgamation of two software suits into one, where before agents would have to manually order the suitable wifi router for the customer on a different application I communicated to BT that I felt it was unnessicary for the order to be placed manually as contractually we sent out the router for all sales regardless and matching the appropriate router to the order in harlequins should be an easy fix, this saved the back office a lot of manual work as a result.
  18.  
  19. Q - 5. What do you know about sales cycles?
  20. https://www.lucidchart.com/blog/sales-cycle-stages
  21.  
  22. Research
  23.  
  24. Informatica Corporation (Informatica) is the provider of enterprise data integration and data quality software and services. The Informatica Platform is a set of technologies to enable a variety of complex enterprise-wide data integration initiatives, including Enterprise Data Integration, Data Quality, Master Data Management (Creating what's called a golden source, system aggrigate), and Cloud Data Integration (Applicable).
  25.  
  26. Alteryx (Demo available online) primary software features intuitive visual workflows and a drop-and-drag user interface with an emphasis on eleminating the need for coding knowledge
  27. IFRS9, an International Financial Reporting Standard
  28.  
  29. IFRS9 replaces IAS 39, Financial Instruments – Recognition and Measurement and came into force on 1 January 2018, it was designed in response to criticisms that IAS 39 is too complex, inconsistent with the way entities manage their businesses and risks, and defers the recognition ofcredit losses on loans and receivables until too late in the credit cycle - it affects more than just financial institutions, like AnaCredit it's creation was mostly in response to the financial crisis.
  30. AnaCredit - launched by the European Central bank in 2011 - short for analytical credit datasets, It uses new data and existing national credit registers to achieve a harmonised database to improve policy decisions based on better data analytics, created in response to flaws highlighted by the financial crisis. Initial goal aimed at making data fully comparable between all EU member states as they will be based on harmonised concepts and definitions to allow for analyses and comparisons that cannot be provided based on currently available aggregated data.
  31.  
  32. BCBS 239 (The Basel Committee on Banking Supervision, Principles for effective risk data aggregation and risk reporting) as of March 2017 only one institution was deemed fully compliant within the three-year deadline. has become a de facto standard across the banking industry and several national supervisors
  33. There are regional differences in supervisory approaches to assessing compliance with BCBS 239, EU / UK / US / Japan / Switzerland financial institutions have all taken differing supervisory approaches. simply landing on a common language for compliance has proven difficult for many banks
  34.  
  35. Regular expression all encompassing method of identifying data
  36.  
  37. https://en.wikipedia.org/wiki/Representational_state_transfer
  38.  
  39. https://en.m.wikipedia.org/wiki/Enterprise_architecture?fbclid=IwAR1ltA3I3rP-O0mDPFn5S5I6yAGZ_v6NffSZS8-lc9-xq_TKAuixbntGotQ
  40.  
  41. research GovTech
  42. https://www.datactics.com/customer-success/nhs-case-study/
  43. Research value propositions
  44. What is a Compelling Event?
  45. https://www.salesforce.com/uk/
  46. https://www.b2binternational.com/experience/industries/government-and-public-sector-market-research/
  47. https://www.lucidchart.com/blog/sales-cycle-stages
  48. https://netlicensing.io/blog/2013/06/13/software-licensing-models-types-sizes-and-uses/
  49. https://en.wikipedia.org/wiki/Software_as_a_service
  50. Gives an overview of the quality of your data, allows you to refine and simplify data
  51. http://www.datagovernance.com/wp-content/uploads/2014/11/DGI-Data-Governance-Framework-Image.png
  52. https://blog.hubspot.com/service/client-relationships
  53. how software partnerships work in b2b - we give our software to someone like nueda
  54. https://www.google.com/search?q=value+propositions&oq=value+propositions&aqs=chrome..69i57j0l5.1143j0j7&sourceid=chrome&ie=UTF-8
  55. Research the idea of channel partners
  56. Ambition - Passion - integrety - API
  57. https://www.analyticsindiamag.com/6-major-data-quality-issues-haunt-almost-major-organisations/
  58. https://www.cobalt.net/2016/07/13/rfi-rfq-rfp-whats-the-difference/
  59. https://www.analyticsindiamag.com/6-major-data-quality-issues-haunt-almost-major-organisations/
  60. https://www.reallysimplesystems.com/blog/compelling-events/
  61. http://www.datagovernance.com/the-dgi-framework/
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