Data Warehousing: The Ultimate Guide to Building Corporate Business IntelligenceData: 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. |
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Contents
The Impact of Technology on Business Strategy | 15 |
Data Warehousing adopting an architectural view and maximizing cost benefits | 27 |
What is Data Warehousing? | 33 |
Data Warehousing Solutions HighAvailability High Performance Networks Support Superior Business Decisions | 37 |
Getting Started Building the Scalable Warehouse the Right Way | 47 |
How to Integrate Data Warehousing in your Business | 57 |
Key to Reviving the Enterprise Data Warehouse | 59 |
Beyond Data Warehouse and ROI | 63 |
The 7 Steps to Calculating Data Warehousing ROI | 167 |
Statistical Analysis | 181 |
DataMines for DataWarehouses | 195 |
Cost of Ownership and Successes in Application of Data Warehouse Technology | 211 |
Driving Customer Retention Development And Acquisition For Profit In The Insurance Business | 223 |
Metadata for Data Warehouse | 229 |
MetaData Management for Business Intelligence Solutions IBMs Solutions | 235 |
An EnterpriseWide Solution | 251 |
From Datamarts to the Enterprise Data Warehouse | 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 |
Smart Storage Fat Pipes and Industrial Grade Data Warehousing | 149 |
Strategical Considerations | 165 |
Database Solutions | 271 |
Business Intelligence in Half the Time With Less Cost And Risk | 283 |
Building an Active Data Warehouse Using High Performance AS400 Technology | 295 |
Data Warehousing Concepts for AS400 | 301 |
Transformational Data Replication | 319 |
Ten Mistakes to Avoid | 331 |
Other editions - View all
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 applications approach architecture benefits build business intelligence changes Chapter cleansing Cognos companies complex components computing corporate cost cubes data exchange solutions data marts data mining data replication data stores data structures data transformation data warehouse/data mart data warehousing Database Solutions datamine decision support distribution end users Enterprise Data Warehouse environment ERP systems extract Figure functions Genio Suite Hummingbird IBM's implementation industry Informatica Integrate Data Warehousing interface investment layer loading matching meta Meta-data Interchange metadata MetaLink multiple ODBC OLAP OLTP operational data operational systems organizations performance problem programs query RDBMS replication software reporting repository 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