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Pre-configured reports- Do they work?

There are vendors who claim that they have the pre-build reports/views/metrics, which can meet good proportion of our need and can provide a quick implementation. Is it a valid claim?
 
This page of 'Ask a question' is linked to:  Data Warehousing, Data Analysis/OLAP, BI platform Tools Evaluation, Business Intelligence End User Tools Evaluation,

As per the experience base within ExecutionMiH.com, that it does say 70-80% for the dashboards and 30 to 40% of the scorecards. Most of the scorecards & dashboards need to be highly customized not only because the information needs are different. This is also because every company faces different issues and has different SWOT. This leads to different set of items, which have to be focused upon, which ultimately lead to varying set of metrics and reports. Refer Designing Scorecards and Designing Dashboards.

Within Dashboards and Scorecards, dashboards mostly carry the mathematical information. Therefore, it is easier to automate the dashboards. Scorecards are more varied and have lot of qualitative information. This constraints the level of automation. These are the specific barriers to automation of scorecards:

  • The external or manual data: Standards and goals, low volume figures, some data lying in excel sheets etc.. are examples of the data which is not coming through the standards route of OLAP and Performance Reporting system.
  • Commentary: There is lot of qualitative information, which needs to be put over and above your quantitative information generated by your scorecard generating tool. refer field tip Commentary is Must
  • Projections for Future- These are manually calculated manually or through bushiness models, and are not part of 'actual's' or standards.
  • Sheer customized format requirements: The performance reporting systems, with dashboard and scorecard building capabilities are not flexible enough to meet the exact needs of a senior manager.

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Expert's Answers → Entry criteria to start DW project → Expert's Answers → Online data feed to Data Warehouse. → Expert's Answers → Data Warehouse- Big Bang or Incremental → Expert's Answers → Dimensional model vs Relational model → Expert's Answers → Interview sequence for DW business requirements → Expert's Answers → Business Intelligence vs Business Performance → Expert's Answers → Integrating Data Marts to Data Warehouse → Expert's Answers → EAI vs Data Warehouse → Expert's Answers → Operational Data Store vs Data Warehouse → Expert's Answers → Source of Enterprise Reporting → Expert's Answers → Data Warehouse Source System approach → Expert's Answers → ROI of Data Warehouse → Expert's Answers → Partial Customer Information → Expert's Answers → Source system re-writing in parallel to Data Warehouse → Expert's Answers → Alignment between Source Systems and Data Warehouse → Expert's Answers → Maximizing usage of Data Warehouse → Expert's Answers → Simultaneous launch of source system and Data Warehouse → Expert's Answers → Security Matrix of a Data Warehouse → Expert's Answers → ETL phase taking too long → Expert's Answers → Should Data Warehouse wait for Meta-Data initiative → Expert's Answers → Mismatch in Source vs Data Warehouse reporting. → Expert's Answers → Data Warehouse vs Data Mart vs Data Mining → 
 
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Relevant links to this page
Entry criteria to start DW project
Online data feed to Data Warehouse.
Data Warehouse- Big Bang or Incremental
Dimensional model vs Relational model
Interview sequence for DW business requirements
Business Intelligence vs Business Performance
Integrating Data Marts to Data Warehouse
EAI vs Data Warehouse
Operational Data Store vs Data Warehouse
Source of Enterprise Reporting
Data Warehouse Source System approach
ROI of Data Warehouse
Partial Customer Information
Source system re-writing in parallel to Data Warehouse
Alignment between Source Systems and Data Warehouse
Maximizing usage of Data Warehouse
Simultaneous launch of source system and Data Warehouse
Security Matrix of a Data Warehouse
ETL phase taking too long
Should Data Warehouse wait for Meta-Data initiative
Mismatch in Source vs Data Warehouse reporting.
Data Warehouse vs Data Mart vs Data Mining
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