LEADER 00000cam a2200421Ma 4500 
003    OCoLC 
005    20240129213017.0 
006    m        u         
007    cr cn |||    | 
008    150903s2012    xx      o     ||| 0 eng d 
020    |q(MIT54117) 
024 8  53863MIT54117 
035    (OCoLC)1159615761 
040    UKBTH|beng|cUKBTH|dOCLCF|dOCLCO|dOCLCQ|dOCLCO 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Ferguson, Renee,|eauthor. 
245 10 Innovating With Analytics|h[electronic resource] /
       |cFerguson, Renee.|h[O'Reilly electronic resource] 
250    1st edition. 
264  1 |bMIT Sloan Management Review,|c2012. 
300    1 online resource (5 p.) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b6.50 
520    In a recent data and analytics survey conducted by MIT 
       Sloan Management Review in partnership with SAS Institute 
       Inc., the authors found a strong correlation between the 
       value companies say they generate using analytics and the 
       amount of data they use. Combining the responses to 
       several survey questions, they identified five levels of 
       analytics sophistication, with those at Level 5 being most
       sophisticated and innovative. These analytical innovators 
       in Level 5 had several defining characteristics. First, 
       they tended to use more data than other groups. In fact, 
       they were three times more likely than the 8% of those 
       respondents who fell into the Level 1 category to say they
       used a great deal or all of their data. Second, there was 
       a strong correlation between driving competitive advantage
       and innovation with analytics and how effective a company 
       is at managing what the authors term "the information 
       transformation cycle." This cycle refers to the process of
       capturing data, analyzing information, aggregating and 
       integrating data, using insights to guide future strategy 
       and disseminating information and insights. Respondents 
       who fell into the Level 5 category also had a stronger 
       need for speed than other survey respondents. Eighty-seven
       percent reported that the ability to process and analyze 
       data more quickly was very important. Utilizing speed fell
       into three separate areas: customer experience, pricing 
       strategy and innovation. Another intriguing finding from 
       the survey involved the cultural impact on organizations. 
       Some respondents reported that the use of analytics is 
       shifting the power structure within their organizations. 
       Analytical innovators, as a group, tended to be more 
       likely than other groups to say that analytics has started
       to shift the power structure in their organizations. 
542    |fCopyright © 2012 MIT Sloan Management Review|g2012 
550    Made available through: Safari, an O'Reilly Media Company.
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Data mining. 
650  6 Exploration de données (Informatique) 
650  7 Data mining|2fast 
700 1  Prentice, Pamela,|eauthor. 
700 1  Kiron, David,|eauthor.|0(uri) http://id.loc.gov/
       authorities/names/n96042960|0(uri) http://viaf.org/viaf/
       sourceID/LC%7cn96042960 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/53863MIT54117/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN