Oracle Open World : Day 2 : Scott McNealy’s Keynote

Wednesday, September 21st, 2005 by Mark Rittman

A quick picture from today’s Scott McNealy keynote, with Scott’s take on what’s on Larry’s iPod at the moment… The usual entertaining presentation, lots of talk about open source (though not GPL), computing as a utility, and the six bits of R&D investment that will provide Sun’s "Apple iPod moment". My opinion? They may have [...]

Oracle Open World : Bloggers’ Dinner

Wednesday, September 21st, 2005 by Mark Rittman

As Wilfred and Brian have previously posted, we held our inaugural "Oracle Bloggers’ Dinner" last night at a restaurant in San Francisco. Here’s a few photos: Looking at the top photo and going from bottom left up and down the table, the people attending were: Andrew Clarke Mark Rittman Tom Kyte Rob Clevenger Sue Harper [...]

Know who your customers are – part 4

Tuesday, September 13th, 2005 by Peter Scott

In follow-ups to recent posts some people raised a point about using basket analysis in “reverse” to segment customers. The legend that young men buy beer and nappies (diapers) has been around a long time in the BI community (perhaps because having young families restricts traditional access to bars.) But can this type of knowledge [...]

Oracle to Purchase Siebel for $5.85bn

Monday, September 12th, 2005 by Mark Rittman

Oracle Agrees to Buy Siebel for $10.66 a Share : “REDWOOD SHORES, Calif., 12-SEP-2005 Oracle Corporation (Nasdaq: ORCL) announced today that it agreed to buy Siebel Systems, Inc (Nasdaq: SEBL) for $10.66 per share. The offer is valued at approximately $5.85 billion, or $3.61 billion net of Siebel’s cash on hand of $2.24 billion. “In [...]

Know who your customers are – part 3

Friday, September 9th, 2005 by Peter Scott

  So you managed to go through all those hoops and have a way to tie (at least some) transactions to identifiable individuals. But can you be sure that each customer on your customer table is different person? Cleaning of customer data is notoriously difficult. True duplicates should not happen if your data load cleansing [...]

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