Where Analytics, Data Mining, Data Science were applied in 2015
Consumer Analytics is still the leading application area for analytics & data mining (although losing its share), followed by Finance, and Banking. Highest growth is in Games, Entertainment/Music, and Social Good/Non-profit applications. 3-year comparison shows surprising stability.
Industries / Fields where you applied Analytics, Data Mining, Data Science in 2015?

- CRM/Consumer analytics (still n. 1, but declining to only 18.6% share from 22.2% in 2014)
- Finance (up 42%, was n8 in 2014)
- Banking (down 15%, was n2 in 2014)
- Health care (down 18%, was no 3 in 2014)
- Science (down 14%, was n. 4-7 in 2014)
New areas were added in 2014 poll, based on industry trends and comments on past polls. Most popular are:
- IT / Network Infrastructure, 6.6%
- Mining, 3.7% (yes, actual mining, not just data mining)
- Agriculture, 2.9%
Comparing to Where did you apply Analytics/Data Mining in 2014? poll, we note that the biggest increases, computed as (pct2015 - pct2015) / pct2014, were for
- Games, 121%
- Entertainment / Music/ TV/Movies, 73.6%
- Social, Good/Non-profit, 68.4%
- Finance, 42.1%
- Education, 30.0%
The industries with the biggest decline in share of applications were
- Junk email / Anti-spam, down 84%
- Mobile apps, down 37%
- Retail, down 33%
- Direct Marketing/ Fundraising, down 29%
Average number of industries selected per voter was 2.65, slightly lower than 2.8 in 2014.
Here are full results. The three-year comparison shows surprising stability in share of applications for most of areas.
Industries/Fields where you applied Analytics, Data Mining, Data Science in 2015? [350 voters]
![]() ![]() ![]() | |
CRM/Consumer analytics (65) | ![]() ![]() ![]() |
Finance (54) | ![]() ![]() ![]() |
Banking (50) | ![]() ![]() ![]() |
Health care (47) | ![]() ![]() ![]() |
Science (41) | ![]() ![]() ![]() |
E-commerce (36) | ![]() ![]() ![]() |
Social Media / Social Networks (36) | ![]() ![]() ![]() |
Fraud Detection (35) | ![]() ![]() ![]() |
Education (35) | ![]() ![]() ![]() |
Retail (32) | ![]() ![]() ![]() |
Other (31) | ![]() ![]() ![]() |
Advertising (31) | ![]() ![]() ![]() |
Oil / Gas / Energy (31) | ![]() ![]() ![]() |
Telecom / Cable (27) | ![]() ![]() ![]() |
Insurance (26) | ![]() ![]() ![]() |
Credit Scoring (25) | ![]() ![]() ![]() |
Government/Military (25) | ![]() ![]() ![]() |
Manufacturing (24) | ![]() ![]() ![]() |
IT / Network Infrastructure (23) | ![]() ![]() ![]() |
HR/workforce analytics (22) | ![]() ![]() ![]() |
Medical/ Pharma (21) | ![]() ![]() ![]() |
Software (21) | ![]() ![]() ![]() |
Search / Web content mining (21) | ![]() ![]() ![]() |
Direct Marketing/ Fundraising (18) | ![]() ![]() ![]() |
Web usage/Log mining (18) | ![]() ![]() ![]() |
Biotech/Genomics (17) | ![]() ![]() ![]() |
Automotive (15) | ![]() ![]() ![]() |
Investment / Stocks (15) | ![]() ![]() ![]() |
Games (14) | ![]() ![]() ![]() |
Mining (13) | ![]() ![]() ![]() |
Entertainment/ Music/ TV/Movies (11) | ![]() ![]() ![]() |
Agriculture (10) | ![]() ![]() ![]() |
Travel / Hospitality (9) | ![]() ![]() ![]() |
Security / Anti-terrorism (8) | ![]() ![]() ![]() |
Social Good/Non-profit (8) | ![]() ![]() ![]() |
Social Policy/Survey analysis (6) | ![]() ![]() ![]() |
Mobile apps (5) | ![]() ![]() ![]() |
Junk email / Anti-spam (1) | ![]() ![]() ![]() |
Areas to be added in next poll: Supply Chain.
The regional distribution was similar to 2014 poll for US, but with more participants from Europe and Africa/Middle East, and less from Asia and Latin America.
- US/Canada, 40%
- Europe, 33%
- Asia, 13%
- Latin America, 6.3%
- Africa/Middle East, 5.1%
- Australia/NZ, 2.6%
Here are the results of past polls:
- Where Analytics, Data Mining, Data Science was applied in 2014?
- Where did you apply Analytics/Data Mining in 2012?
- Industries / Fields where you applied Analytics / Data Mining, 2011.
- Industries / Fields for Analytics / Data Mining, 2010.
- Data Mining Applications, 2009.
- Data Mining Applications, 2008.
- Data Mining Applications by Industry, 2007.
- Industries/fields where you applied data mining, 2006.
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