- Build a visual business or data quality rule against any data set from any database
- Summarise your analysis with customisable aggregates and metrics; show the proportion of the dataset each segment contains or the 'value' of the segment.
- Built-in, dynamic, exception handling ensures that no data is ever missed. Highlight unexpected values and exceptions quickly.
- Dynamic metrics mean that as you add rules or change conditions, the results are constantly kept up to date.
- Find outliers and exceptions by charting any result set. Easily export suspect rows.
- One-click drill-down into the underlying data at any time.
- Create a library of models: profile good customers, responders to mailings, or customers at risk of deserting.
- Reuse a business rule, or any analysis, either on a refreshed dataset or against a completely different database.
- Share and re-use your business rule and analysis with your team.
- Maintain a history of when rules were executed and their results, and build up a picture of your data over time. Especially useful as part of a data validation exercise or data quality program.
- Create executable versions of your rules which can be run outside of Citrus Replay, directly against your database, or integrated with your existing applications.
- Quickly understand a new dataset with in-built data profiling features, such as 'quick statistics', frequency distribution and pattern analysis.
- Score your datasets.
- Cross-database support. You can even analyse Text and Excel data files.
- All your analysis is stored in a secure, encrypted, repository, ensuring your data is never at risk.
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Microsoft
Adobe
VMware
SolarWinds.com
Kerio
Autodesk
Bitdefender
Symantec
Paessler AG
Kaspersky
Mindjet
Oracle
Eset
Acronis
Minitab Ltd
Corel
