Benefits for clients
Results are typically achieved in one of 3 areas:
- Enhancing data quality
Data quality improvement can be achieved in several ways. We define high quality data as being timely, relevant, complete, understood, trusted, and the mother of all data quality: data needs to be accurate. We can make the ‘stretch’ from business needs to technical specifications. Often this entails finding new (marketing or risk) applications for existing data or recommendations for where new interfaces could add business value. - Extracting more value from existing data
Utilize existing data in ‘smarter’ ways. Examples might include: building Data Mining models to improve campaign ROI, using data to segment customers, gaining insight about customer behavior, defining business growth opportunities, calculating state-of-art profitability measures, feature extraction (deriving new variables from existing data), etc. - Skills transfer
Conduct seminars, develop and deliver courses or present keynote sessions. We have abundant experience in ‘how to’ courses applying the latest in data mining and advanced list management. The emphasis invariably is on how to make it actionable tomorrow. We appear regularly at conferences covering areas from Data Mining, website analysis, data quality, privacy, to marketing strategy, data driven decision making, and customer insight.
