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When you implement an ad hoc query tool, you may reduce report development costs, but you do nothing to improve query response time or provide meaningful context to the data In fact, you run a high risk that you will make response time significantly worse for both the end user queries and transaction system inputs The simple answer is to build a data warehouse or a data mart After all, the fundamental difference between these two platforms is their sole purpose in life: automating a process versus providing business insight (see Table 1-1 in 1) Yet many companies still elect to implement BusinessObjects XI directly against the OLTP (or a copy of it) for several reasons: Timing A data warehouse may be a long-term goal, but under budget constraints, companies need to achieve immediate benefits They don t have the time or resources to develop an enterprise information strategy If you recently implemented a new OLTP, then you need reports right now, immediately, not six months from now This kind of approach also gives you a relatively quick way of communicating the value of deploying a business intelligence solution Lack of sponsorship A successful data warehouse project requires strong business sponsorship and agreement across departments and functions In contrast, OLTPbased reporting is often deemed an IT responsibility, since IT programs the reports IT can implement and control reporting in this environment, without having to gain the buy-in necessary for a data warehouse; the politics of a data warehouse project are deferred Cost and complexity Data warehouse implementations range in price from $50,000 to millions of dollars Poorly managed projects can take years to achieve

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measurable benefits, and even well-managed ones will take several months In addition to selecting a BI tool, you will face a number of other choices in terms of architecture, servers, databases, data integration and ETL tools, approach, and design A data warehouse is a long-term investment, but be careful not to ignore the hidden costs associated with implementing Web Intelligence against the OLTP Lack of dimensional or cross-functional data may limit the data s usability; data will remain just data and not information The universes will be significantly more complex and take longer to develop, as transformations normally done in the ETL process must be performed to a degree in the universe Real-time access Real-time BI continues to generate a fair bit of hype, and new buzzwords such as Operational BI add to both hype and confusion The real-time debate is both a technology issue and a business requirements issue: what do users need, and what technology can best meet those needs Certain technologies allow a data warehouse to be updated in near real time as source data changes For some applications (such as stock traders and risk management), users indeed need access to real-time data with data feeds from multiple processes and functions Here, EII technologies (note Business Objects recent acquisition of Medience) are compelling However, real-time BI also touches a nerve with OLTP users who need flexible access to transaction-level data ERP vendors may excel in business process automation, but they have generally been weak at providing intuitive reporting tools As long as the transaction processing time does not suffer, it makes perfect sense to integrate BusinessObjects XI with the OLTP, whether embedding Crystal Reports within an OLTP application or using Data Integrator and Web Intelligence against an ERP-centric data mart The vendor provides a number of solutions to facilitate this Rapid Marts are prepackaged data models for specific ERP solutions such as PeopleSoft, Oracle Financials, Siebel, SAP, and JD Edward Further, some BusinessObjects XI features such as multipass SQL, derived tables, and multiple data providers per report make real-time BI against the OLTP achievable Whatever your reason for using BusinessObjects XI directly against the OLTP, you will need to take some precautions to ensure a successful deployment Killer queries can cripple a system and prevent orders from being processed It takes only a few times for this to happen before you will either (a) fund a data warehouse or (b) limit ad hoc access If BusinessObjects XI is to become a strategic application, you do not want to limit access However, you do want to deploy in a highly managed way, even more so when you are accessing an OLTP Pay particular attention to the universe design, ensuring optimal joins and removing the ability to use nonindexed fields as condition objects (see 9, the section Modify a Dimension ) Ensure the standard reports use prompts to limit the amount of data returned and to guarantee that the conditions are based on indexed fields With custom OLTP reports, each user executes the query, placing an additional load on the OLTP With BusinessObjects XI, use the Public Folders for users to access one pre-run, cached report Use the integrated scheduling to run more resource-intensive reports during nonworking hours and possibly push certain reports to individual users Finally, ensure you use the integrated auditing capabilities to understand who is using certain reports, universes, or objects; when; and how they are being used (see 16).

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