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I'm intrigued (and grateful) when others more attuned than I to this area of corporate transformation are able to deconstruct large globs of ideas into manageable chunks Case in point: John Strabley, Internet consultant at Peppers and Rogers Group Strabley was asked to explain the difference between analytical CRM, collaborative CRM, and operational CRM His answer (from www1to1com): In order to maximize the value of CRM, it must be an enterprise-wide initiative To that end, analytical, collaborative, and operational describe the three main components in an enterprise-wide CRM initiative Analytical CRM refers to utilizing data warehouses, customer and product datamarts in conjunction with tools such as epiphany, SPSS, SAS and NetPerceptions (just to name a few) to drive CRM-focused marketing and campaign management Operational CRM refers to CRM implementation in the back office (transaction, order and fulfillment management) components of the enterprise.

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There is no copyright on having ideas. It is not uncommon for two people to have similar ideas, circumstances being what they are, often at about the same time. The idea that wins is invariably the one that has been thought through the best. That s why developing the idea matters, and the thought you put in now will pay dividends as you progress.

only to Livermore s penthouse oor The of ces occupied the entire oor He purposely had no sign on the of ce door where the elevator stopped Once inside this door, there was a small anteroom, a kind of waiting room where Harry Edgar Dache had one of his desks Harry was described by the New York Press as pug ugly with a personality to match He stood a solid six feet six inches and weighed close to 300 pounds with the battle-scarred face of a pugilist Harry s looks belied his high intelligence Livermore had interviewed him for only half an hour and hired him on the spot Harry had been in the Merchant Marine and traveled the globe many times He spoke six languages, including Latin He was a voracious reader, knowledgable in many areas, and a terri c administrator.

Alderich, J. (1997) A. Fisher and the making of maximum likelihood 1912 1922. Statistical Science, 12(3), 162 176. Bon glio, D., Mellia, M., Meo, M., Rossi, D. and Tofanelli, P. (2007) Revealing Skype traf c: When randomness plays with you. SIGCOMM Computer Communications, 37(4), 37 48. Brownlee, N. (2002) Understanding Internet traf c streams: Dragon ies and tortoises. IEEE Communications Magazine, 40, 110 117. Chen, K.T., Huang, C.Y., Huang, P. and Lei, C.L. (2006) Quantifying Skype user satisfaction. SIGCOMM Computer Communications, 36(4), 399 410. Claffy, K.C., Braun, H.W. and Polyzos, G.C. (1995) A parameterizable methodology for Internet traf c ow pro ling. IEEE Journal of Selected Areas in Communications, 13(8), 1481 1494. Corvella, M.E., Taqqu, M.S. and Bestavros, A. (1998) Heavy-tailed probability distributions in the World Wide Web, a practical guide to heavy tails. Statistical Techniques and Applications, 3 25, 1998. Corvella, M.E. and Taqqu, M.S. (1999) Estimating the heavy tail index from scaling properties. Methodology and Computing in Applied Probability, 1, 55 79. Davis, R. and Brockwell, P. (2002) Introduction to Time Series and Forecasting, Springer, New York. IETF RFC 2018 1996 (1996) TCP Selective Acknowledgment Options. IETF RFC 3517 2003 (2003) A Conservative Selective Acknowledgment (SACK)-based Loss Recovery Algorithm for TCP. IETF RFC 5103 2008 (2008) Bidirectional Flow Export Using IP Flow Information Export (IPFIX) Feldmann, A. and Whitt, W. (1997) Fitting Mixtures of Exponentials to Long-tail Distributions to Analyze Network Performance Models. In Proceedings of 16th Annual Joint Conference of the IEEE Computer and Communications Societies. 1997 (INFOCOM 97), vol. 3, pp. 1096 1104.

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