p18t3bh4ur1hn2456142p1b5ujhsa.jpg
The lead session at the 2014 Pacific Northwest BI Summit focused on how to transition to an analytics-driven organization. Harriet Fryman of IBM and Claudia Imhoff of Intelligent Solutions and the Boulder BI Brain Trust led the discussion on the importance of anayltics, listing 11 business pitfalls hindering analytics success. This slideshow first appeared at Information Management.
p18t3bh4ur1ag41ke4jgc88969c9.jpg

1. Education

p18t3bh4ur1g2618dmf7j1ah9c78b.jpg

2. Defining the business problem

p18t3bh4uq1vr848e17s4m95vev7.jpg

3. Insufficient skills

p18t3bh4us3qq1l5s2n415tk1cctc.jpg

4. Data scientist expectations

p18t3bh4usojn199k818t9n1upeg.jpg

5. Validation of models

p18t3bh4usljt1dj5vm2jtu32mh.jpg

6. Using the right data

p18t3bh4us1ef912hj1vc9veica2f.jpg

7. Lack of support

p18t3bh4upf0qfjf1i9haqq16pi6.jpg

8. Balance of responsibilities for the businessperson

p18t3bh4usi9a143g1nml1saq1rkrd.jpg

9. Choosing the wrong algorithm for use

p18t3bh4us1s361qkd116k1a8q1da4e.jpg

10. Tackling too much

p18t3bh4uq1qlr1s7i1sk42kj2ii8.jpg

11. Attention to data quality