Data Warehousing: The Ultimate Guide to Building Corporate Business IntelligenceSCN Education B.V. Data: from acquisition to interpretation Historically, the major challenge for organizations was capturing data. Years ago, businesses were able to leverage the information they could get, but weren't very good at getting detailed information across a range of business processes. In the business environment of today, virtually every transaction and minute business data is recorded in databases to enable better, more effective decision making throughout the organization. Most of the technology emphasis has been on storing data, with less attention paid to tools for transforming data into meaningful information which can be easily accessed and shared by executives. A data warehouse system can take meaningless data and, using intense analytical processing, offer insight into changing market conditions before they occur. The capability to optimize customer interactions and supply chain operations is becoming a source of great competitive advantage. This Hon Guide will give you access to all the essential information about the newest was to store and interpret data: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable. |
Contents
Contents | 42 |
Key to Reviving the Enterprise Data Warehouse | 59 |
from Datamarts to | 75 |
The Four Challenges of CustomerCentric Data Warehousing | 83 |
ERP and Data Warehousing in the Intelligent Enterprise | 97 |
Tightening the Sales Cycle | 107 |
SAP and Data Warehousing | 113 |
SAP R3 Data Warehousing and Application Integration | 135 |
Cost of Ownership and Successes | 211 |
Driving Customer Retention Development and Acquisition for Profit | 223 |
Metadata for Data Warehousing | 229 |
MetaData Management for Business Intelligence Solutions IBMs | 235 |
an EnterpriseWide Solution | 251 |
Database Solutions | 271 |
Business Intelligence in Half the Time with Less Cost and Risk | 283 |
Building an Active Data Warehouse using High Performance AS400 | 295 |
Smart Storage Fat Pipes and Industrial Grade | 149 |
The 7 Steps to Calculating Data Warehousing | 167 |
Statistical Analysis | 181 |
DataMines for DataWarehouses | 195 |
Data Warehousing Concepts for AS400 | 302 |
Transformational Data Replication | 319 |
Ten Mistakes to Avoid | 331 |
Other editions - View all
Data Warehousing: The Ultimate Guide to Building Corporate Business Intelligence Limited preview - 2001 |
Data Warehousing: The Ultimate Guide to Building Corporate Business Intelligence SCN Education B.V. No preview available - 2012 |
Common terms and phrases
ability analysis analytical approach architecture bank benefits build Business Information Warehouse business intelligence Chapter Cognos companies complex components computing corporate cost cubes customer data warehouses data exchange solution data marts data mining data stores data structures data transformation data warehouse/data mart database datamine decision support designed end users Enterprise Data Warehouse environment ERP systems extract Figure functions Genio Suite identify implementation Integrate Data Warehousing interface Introduction to Data investment layer loading matching MetaLink multiple names and addresses Net Present Value OLAP OLTP operational data operational data store operational systems organizations performance problems programs query RDBMS replication reporting requirements ROI modeling ROLAP sales and marketing SAP BW SAP R/3 SAP R/3 data Scalability server specific statistical storage Storage Area Networks Strategical Considerations Sybase tables target transaction universal data exchange update vendors Visual Warehouse