We think of analytical capabilities in a number of dimensions. You typically find that an analytical person will span several of these - though we've never met anyone who spans them all!. If you don't find what you are looking for on this list then don't despair. If you send us a note we can still tell you if we can help.
- Application Areas
- Marketing Analytics
- CRM
- Market Research
- Anomaly Detection
- Business Performance Measurement
- Biomedical analytics
- Credit Scoring & Risk Analysis
- Advanced Digital Analytics
- Personalisation & Recommendation
- Multivariate Testing
- Behavioural Targeting
- Psychological Targeting
- Analytical Areas
- Data Mining
- Predictive Analytics
- Statistical Analysis
- Web Analytics
- Methodologies. There are too many of these to mention but here are some of the more common ones.
- Traditional Statistics, Bayesian Statistics, Decision Trees, Neural Networks - Artificial Intelligence(AI), Link Analysis, Cluster Analysis (Statistical and AI)
- Roles
- Analysts
- Consultants
- Solution Architects
- Developers
- Project/Program Managers
- Software Tools
- Data Mining, Predictive Analytics & Statistics. We've grouped these together for now as you tend to get a mixture of methods in all of them.
- SPSS Statistics, SPSS Clementine, SAS, SAS Enterprise Miner, Oracle Data Miner, KXEN, Salford Systems, R, S-PLUS, BMDP
- Web Analytics
- Google Analytics, Omniture (Various), WebTrends, Site Intelligence (VBIS)
- Databases. Broadly speaking they hold the data, allow us to manage it, and increasingly they host the analytical algorithms that do everything from Reporting to Predicting
- SQL Server, Oracle, MySQL
We'll be taking time to describe all of these dimensions in more detail shortly.