Data analysis isn't dead
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It ain't no good if it ain't got good data Call me old-fashioned, but data is still pretty important. In most systems, if you feed bad data in you get bad data out (Garbage In, Garbage Out - GIGO).â¦
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Many organizations allocate large resources to implement and deploy packaged ERP, CRM and SCM applications. Now these organizations need to move away from operational efficiency gains achieved and into leveraging their data for performance management and business intelligence.
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Unearthing values in the post-bubble wreckage.
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Some on-the-ground research from my recent vacation to Southeast Asia.
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It's not exactly light reading, but there's plenty of good news in a report from the National Academy of Engineering. It's a list of the "Grand Challenges" in engineering this century compiled by an array of experts like the genetics researcher J. Craig Ventner and Google's Larry Page. What's encouraging isn't so much the list [...].
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Open source is increasingly meaningless if the data it manages isn't open, too.  Should the Open Source Definition be expanded to include data provisions?
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Mike Wallner has thrown together some stats for the latest edition of the pecl/http package to test its response performance.   The results surprised me, because it clearly shows that the performance drop for starting the PHP engine and doing the neccessary negotiation to provide caching is not that bad.   There's a chart of the results as well as a full PDF with all of the stats the graph maps out. He includes the legend to make the graph easier to understand.
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The search engine is good for more than just scouring the Web. It's also a powerful tool for the shadier side of online data collection.
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New sensor technology is not limited to tracking mileage.
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Growing profits isn't magic. It's math.
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The market may be stuck in neutral, but your portfolio doesn't have to be.
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(Source: Tibco)  So you have a few analysis-savvy experts but a lot of business users needing to solve both repeatable and unpredictable problems. What do you do to scale properly? Using Guided Analytics, expert business professionals can use powerful and easy-to-use data analysis applications to easily and quickly create analysis templates and recommended workflows, thus effectively transferring their best-practice analytics to general corporate users, without IT intervention! That speeds up decision-making by automating common analysis tasks, capturing best practices and providing a framework for distribution of analysis applications to meet the ever-changing needs of their organization.
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One of the major issues plaguing search engines right now is the growing list of web documents available online. While no exact numbers are available, there are billions of search results to sort through. But, they can&#8217;t all be relevant both on material content and time &#8212; can they?  Of course they&#8217;re not, and Google [...]
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New research reveals a vital investment trait.
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New publications, experiments and breakthroughs in information technology--and what they mean.
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The leading vendors in the data warehousing market are running scared of new entrants to the market that are offering data warehouse appliances (i.e. pre-integrated hardware, software, storage combinations) that can offer greatly superior performance at a significantly lower price.  In this white paper we will dispel the 'fog of war' that currently pervades the data warehousing landscape, dismissing those question marks that are irrelevant and gratuitous, but highlighting any genuine issues that need to be addressed.
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Consider the New World of Information - stuff that, unlike the paper days of the past, doesn't always physically exist. You've got notes, scrawlings and snippets, Web graphics, photos and sounds. Stuff needs to be cut, pasted, highlighted, annotated, crossed out, dragged away. And, as Ross Perot used to say (or maybe it was Dana Carvey impersonating him), don't forget the graphs and charts.