Abstract
The current trend in customer relationship management
(CRM) is to be analytical. Customer
transactions are being recorded by more and more
businesses and there is a great demand to
use this data efficiently. Data mining (DM), the science
of finding new, interesting patterns
and relationships in huge amounts of data is a proven
solution to analytical CRM. However,
the commercial DM tools for analytical CRM have some
weaknesses that hinders their wider
use. The most important ones are the pricing, the need
for data mining expertise of the user
and the limited number of methods and algorithms they
offer. Especially the costs related to
tools and expertise limit the use of DM in small and
middle-sized enterprises (SMEs). Louhi
data mining tool developed at VTT Technical Research
Centre of Finland is designed to
overcome these limitations to enable broader use of data
mining methods in various customer
related businesses also including SMEs. The tool was
piloted during year 2003 with end-users
in real-world CRM cases.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Frontiers of e-Business Research (FeBR 2003) |
| Place of Publication | Espoo |
| Publisher | VTT Technical Research Centre of Finland |
| Pages | 274-276 |
| Publication status | Published - 2004 |
| MoE publication type | A4 Article in a conference publication |
| Event | Frontiers of e-Business Research, FeBR 2003 - Tampere, Finland Duration: 23 Sept 2003 → 25 Sept 2003 |
Conference
| Conference | Frontiers of e-Business Research, FeBR 2003 |
|---|---|
| Country/Territory | Finland |
| City | Tampere |
| Period | 23/09/03 → 25/09/03 |
Keywords
- data mining
- analytical customer relationship management
- CRM