Week 37: Small World, Churn, Measuring Sales & Startup HR

Stanford GSB Sloan Study Notes, Week 7 (37), Spring quarter

This week was completely overrun with two homework projects that refused to surrender even when groups of Sloans & MBAs spent hours sitting in the room and cranking through logistic regressions and ROI analysis for marketing channels of a pharma company, or trying to calculate the optimal inventory cost of the supply chain of HP injet printer factory. Also, a real dataset of 90,000 users of mobile phone users came in, which will be a basis for one of our final projects on understanding churn – once we chew ourselves through it.

And in the Town Hall with Madhav Rajan, Associate Dean of Academics we learned that the incoming MSx 2014 class will have quite a few improvements to their class schedule, with even more room for electives in Winter & Spring – congrats! Make sure you’ll fill those slots with quant analysis under the California sun this time next year.

Covered in this issue:

  • Milgram’s Small world problem and its modern developments
  • Recency/Frequency/Monetary Value & Churn analysis
  • Measuring sales force performance and forecasting tricks (and a video sampler for a litmus test for if you should be in sales)
  • Organizational blueprints for startups
  • Guests from: Google, VMWare, Progreso, Ariat

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Week 36: Cascading Uncertainty, Sales Ethics, Biotech & Design

Stanford GSB Sloan Study Notes, Week 6 (36), Spring quarter

Somehow the notes from this week are lighter – and not for the lack of activities, but rather a different kind. Somehow felt pointless to try to capture heated in-class ethics discussions or hours spent on preparing group work presentations in bullet point form. Instead, I took some time to dump a new load of photos of school life to the Flickr feed, where I had dropped the ball some time back in February.

The biggest project effort went into a “consulting gig” for the Networking class. Given a network relations dataset from a 200 person law firm (across their work, non-work and friendship social relations), their demographic metadata (tenure, education, roles, age…) and some qualitative survey results, we had to build an action plan that would solve for some of their identified personell issues, such as high churn of women. A very interesting mix of social network visualisations and multiple regression approaches, with potential to take far more attention and time than due for “1 homework of 4”.

As an amusing side product we predicted a single associate to become partner next, which the professor confirmed to have actually happened in the last 2 years since the data was gathered. As a teaser, find person #2910 on this picture to see why that is (partners are red, associates blue):

4 - partners (red) hang with partners, analysts (blue) with analysts

On BBLs front, GSB had a group of StartX companies drop by. Without going into the detail of the pitches, the overall quality of the batch of this accelerator program seemed quite impressive ranked agains many I’ve seen. Which is well done, given the affiliation to a single university and their somewhat less-commercial structure (for example they take no equity stake in companies they incubate and even fund).

EDIT: the most regretted lecture that I unfortunately missed this week: Building computers from bacteriophage data, communication, logic within biological cells in EE380 Computer Systems Colloquium.

Covered in this issue:

  • A data scientist’s take on how social graph analysis fits into the uncertain world
  • Calculating the effect of ads and promotions on sales
  • Tough life of a district manager and ethics of sales people
  • Booting up a biotech business
  • Some design thinking references and videos from IDEO
  • Guest speakers from: Jive, NetApps, VMWare, Connectics, IDEO

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