Why Has Data Mining Struggled So Much?

Uli Bethke Business Intelligence, data mining, Data Warehouse, Oracle

Bill Inmon has recently posted an article on "Why has Data Mining struggled so much?"

The article discusses 7 diferent reasons why data mining has struggled, as it has been around for a very long time.

The main points are
1. We have been waiting a long time for it to become available in a usable way
2. Data mining is considered an academic focused with very few practitioners. But this is become less so
3. Data mining requires a different set of skills. Yes you need data management skills but you also need some data mining skills. I will be making a posting focusing on the skill sets required for data mining in the coming weeks.
4. Some industries and application areas are more suited to data mining than others. The difficult is in identifying suitable projects.
5. Data for Data Mining is unclean. Not if you use a data warehouse. Idealy an organisation who has a matur-ish BI infrastrucure will benefit must from a Data Mining project
6. Data is incomplete. Yes you may need to enrich the data from various sources. But again if you have a Data Warehouse you will have most of these
7. Approaches to data mining inadequate. Alot of the approches to data mining projects as based on its statistical history. New problem areas are evolving all the time and we can use data mining in lots of different way.

To view Bill Inmon's article - click here.

To view our 2 training courses on data mining - click here

Brendan Tierney

About the author

Uli Bethke LinkedIn Profile

Uli has 18 years’ hands on experience as a consultant, architect, and manager in the data industry. He frequently speaks at conferences. Uli has architected and delivered data warehouses in Europe, North America, and South East Asia. He is a traveler between the worlds of traditional data warehousing and big data technologies.

Uli is a regular contributor to blogs and books, holds an Oracle ACE award, and chairs the the Hadoop User Group Ireland. He is also a co-founder and VP of the Irish chapter of DAMA, a non for profit global data management organization. He has co-founded the Irish Oracle Big Data User Group.