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2011 Data Miner Survey:
2011 Data Miner Survey:
Thank you for your interest in the 5th Annual Rexer Analytics Data Miner Survey.
This research program examines the analytic behaviors, needs, preferences, and views of data mining professionals. It is conducted as a service to the data mining community. It s not conducted for, or sponsored by, any third party. Rexer Analytics is committed to freely disseminating our research findings through report summaries, conference presentations, and personal contact. If you would like a copy of this year's FREE 37 page summary report, or summary reports from previous years, please contact us at DataMinerSurvey@RexerAnalytics.com. Please also contact us if you have questions about this research program or if you have suggestions for topics to be included in future Data Miner Surveys.
We have conducted the Data Miner Survey annually since 2007. Highlights for each year are available online. Contact us to receive the full summary reports (FREE).
After the 2011 survey, we moved to a bi-annual schedule. The 2013 Data Miner Survey was launched inJanuary 2013.
2011 SURVEY HIGHLIGHTS:
SURVEY & PARTICIPANTS: 52-item survey of data miners, conducted on- line in 2011.Participants: 1,319 data miners from over 60 countries.
FIELDS & GOALS: Data miners work in a diverse set of fields. CRM / Marketing has been the #1 field in each of the past five years. Fittingly, “improving the understanding of customers”, “retaining customers” and other CRM goals continue to be the goals identified by the most data miners.
ALGORITHMS: Decision trees, regression, and cluster analysis continue to form a triad of core algorithms for most data miners. However, a wide variety of algorithms are being used. A third of data miners currently use text mining and another third plan to in the future. Text mining is most often used to analyze customer surveys and blogs/social media.
TECHNOLOGY:Data Mining most often occurs on a desktop or laptop computer, and frequently the data is stored locally. Model scoring typically happens using the same software used to develop models.
VISUALIZATION: Data miners frequently use data visualization techniques. More than four in five use them to explain results to others. MS Office is the most often used tool for data visualization. Extensive use of data visualization is less prevalent in the Asia-Pacific region than other parts of the world.
ANALYTIC CAPABILITY & SUCCESS:Only 12% of corporate respondents rate their company as having very high analytic sophistication. However, companies with better analytic capabilities are outperforming their peers. Respondents report analyzing analytic success via Return on Investment (ROI), and analyzing the predictive validity or accuracy of their models. Challenges to measuring analytic success include client or user cooperation and data availability / quality.Read the best practices data miners shared for measuring analytic success.
FUTURE: Data miners are optimistic about continued growth in data mining adoption and the positive impact data mining will have. As in previous years, data miners see growth in the number of projects they will be conducting. And growth in data mining adoption is the number one “future trend” identified. Participants pointed out that care must be taken to protect privacy when conducting data mining. Data miners also shared many examples of the positive impact they feel data mining can have to benefit society. Health / medical advances was the area of positive impact identified by the most data miners. Read the full list of positive impact examples identified by data miners in the 2011 survey.