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#EXCEL 2010 DATA ANALYSIS TOOL VERIFICATION#
#EXCEL 2010 DATA ANALYSIS TOOL SOFTWARE#

#EXCEL 2010 DATA ANALYSIS TOOL SOFTWARE#

Of commercial-only DM software users, while German (DE) KDnuggets readers mostly use open-source tools (RapidMiner, KNIME). Table Analysis Tools for Excel: This add-in provides easy-to-use tasks that leverage SQL Server 2012 data mining models within Excel 2010 using either your spreadsheet data or external data accessible through your SQL Server 2012 Analysis Services instance.

RapidMiner 79% increase (21.2% to 37.8%)Īnalysis of top countries by tool type (below) shows that US has the largest number.

Likewise, part of the decrease for some of the tools in 2010 may be due to lack of such campaign in 2010 vs 2009.)Īll open source tools grew in share, but the biggest growth was for (Editor: *Although many companies tried to get their users to vote, Statistica had an especially active campaign in 2010, which explains a large part of their increase.

IBM SPSS Modeler (former Clementine): -78% decline (120 users, 33.0% share to 67 users, 7.3% share).

The biggest losers among commercial tools with at least 1% share were

Microsoft SQL Server: 68% increase (4.1% to 6.9%).

Statsoft Statistica: 184% increase* (from 8 users, 2.2% share in 2009 to 57 users, 6.3% share in 2010).

The leading open source tools were RapidMiner, R, and KNIME.Īmong commercial tools, the top tools were SAS, MATLAB, and IBM SPSS Modeler (former Clementine).Ĭomparing the relative share of tools in 20, the biggest gainers among commercial tools with at least 1% share were

#EXCEL 2010 DATA ANALYSIS TOOL VERIFICATION#

IBM SPSS Modeler (former Clementine) (67)Įven after deleting duplicate votes, this poll had a record participation of over 900 data miners, about 2.5 times more than inĢ009 KDnuggets Poll on Data Mining Tools Used.ĭirect comparison votes may not be representative, because of different verification strategies in 20, but clearly in 2010 KDnuggets visitors were big users of open-source tools. Which data mining/analytic tools you used in the past 12 months for a real project (not just evaluation)