This blog post is the first in a two part series describing work done on self-tuning clustering algorithms. By Gianmario Spacagna This first post will describe the context of the problem and outline the basic approach. The second part will focus on the experiments, implementation experiences and conclusions. Introduction In order for any data analytics [...]
Category Archives: big data
Five customer intelligence tips from Forrester’s Khatibloo
May, 302013
On May 29 Forrester senior analyst Fatemeh Khatibloo and AgilOne hosted a webinar on multichannel customer intelligence. The talk addressed some really cool examples on driving engagement, loyalty and lifetime value from companies like Citi, Disney, Tesco, Nordstrom, Dell and Intuit. If you are interested, you can find the slides here:. Webinar with Forrester on [...]
Things to consider for Fractional Revenue Attribution
Mar, 182012
Revenue attribution is the hottest topic these days. Proliferation of online media, requires reshuffling marketing spend across many more spend categories. Traditional funnel-engineering type work is good, but static, and doesn’t address a few key issues. 1) The transient nature of marketing spend effectiveness that comes and goes with changing keywords, banners offers 2) It [...]
Big Data question: what to save for how long?
Feb, 262012
As tools in the big data world emerges and mature, question is how much of the data to save in high versus low resolution. The answer depends on the uses of this data. Recently, i’ve had lunch with someone from Yahoo, where they were doing modeling on full-resolution data and claimed that you need big-data [...]
