Google setting the clock on the web
Evaluation of User-intent on the web
Recency analysis on the web channel
Posted: September 2006 C: Business Intelligence Posted by: K. Panayotakis
The evolution path of a DSS system, varies according to the priorities of each Business.
Development and maturity stages of a DSS system, are the following:
• Initially, certain critical business processes are selected to be monitored vis-à-vis their performance • a data quality mechanism is developed. In order to produce quality information, quality input data are needed. • A data warehouse which can produce multidimensional views of the selected business processes, is implemented • Standard business process performance reports, are developed • Tools for the analysis of multidimensional data (OLAP tools) and the ad-hoc analysis of data, are used • Predictive models on areas of interest are developed
If a Business aims at developing predictive capability to support the evaluation of future actions, it shall prioritize the development of such models, even without the implementation of a data warehouse, just by using files or data extracted from operational systems.
All DSS functionality categories are developed and matured, as the Business evaluates the benefit derived of each investment: • Processes to extract data from operational systems, mature and become more automated • Additional business processes are selected to be monitored. The data warehouse is extended with facts on the additional business processes • New ways to analyze and drill down on the enriched data • New reports which combine data from different process areas (drill across mechanism) are developed • Quality of predictive models (the ability to produce a sufficient level of prediction) is evaluated based on the business results. Models are improved based on the feedback received. • Predictive capability on new business areas is developed
At the same time, a new culture on information quality and information driven decision making, is cultivated. The Business is gradually deriving more value from the DSS system, given that: • quality of data stored in the data warehouse is gradually improving • larger subject areas are supported by the DSS • a higher number of Users is accessing and using the information which is produced • information is gradually perceived as more reliable and a single version of truth is gradually achieved
Home page - Business Intelligence
Customer Intelligence | Information quality | Business Intelligence | Data Warehousing | RFM | CRM | Strategic_aspects of business intelligence | Information as a competitive advantage, Innovation | Information as a competitive advantage, Internet | Information as a competitive advantage, Creation of Customer value | Information as a competitive advantage, Creation of Customer value | Information as a competitive advantage, Creation of Customer value | Information as a competitive advantage | On-line advertising potential for higher maturity | Web marketing strategies: facilitated information pull vs controlled information push | Page similarity - why should genuine pages be penalised | Test campaign result accuracy – test group sizing | On-line tools to monitor web site 'hygiene' and improve | Test campaign result accuracy – test group sizing | Keyword research for market analysis and product positioning on the web | Keyword analysis tools | Web traffic generation: Reciprocal link exchange vs article syndication | Business Intelligence in Taxation | Web content management trends leading the way for Enterprise metadata management | Customer-centric information architecture for efficient Customer insight | Business Intelligence in Healthcare | The changing landscape of specialized content | Customer Lifetime Value for value-based servicing, a realistic analysis | Dynamic context advertising – sensing the consumer interest | From mass marketing to keyword marketing | Testing – the most effective tool for database marketing | Database marketing – in search of statistical significance | Combined skills for Business Intelligence | Consolidation of web market makers | Web – An Information Market and its Market Makers | Unstructured data | The web economy | Technorati Profile | Disclaimer | Copyright © Pleroforea.com, All rights reserved