Data Analysis Solutions

Data Analysis & Decision Trees

Understand your data quickly with Decision Trees. Apply the insight gained to customer relationship management, customer retention, cross-selling, fraud, or risk management quickly and easily.:

  • Explore, analyse, define and reuse data segments with automatic exception handling
  • Create a library of models – such as good customers, bad suppliers, and at-risk customers
  • Maintain a history of when decision trees were executed and their results
  • Find outliers and exceptions by charting any result set; drill-down into the underlying data; and export suspect rows
  • Create executable decision trees which can be run outside of Citrus Replay, directly against your database
  • Score your datasets

Take a quick look at our Data Analysis & Decision Trees page to find out more.

Database testing

Whether you're a traditional tester, or using test driven development methods, chances are that your going to be running the same queries again and again.

Citrus Replay can help you put together a comprehensive collection of tests, reusable queries to set-up your database, map queries to other data sources and compare results across data sources. Citrus Replay provides tools to help you find issues quickly, and to share your results with others.

See Database Testing for more information.

Information Security

All our tools include seamless data encryption to ensure your data is safe, even after it has been extracted from the database. See Information Security and Encryption for more details.

Data Comparison

With Replay's built-in Data comparison tools you can quickly compare the results of any query over time. You can compare data across data sources and even between different database types.

Replay's unique cross-grid highlighting allows you to visually track and explore differences.

See Data Comparison for more information.

Data Profiling

Gartner report that between 55 and 75% of CRM projects fail. And poor information management is to blame. Finding and addressing issues early in a data migration or data consolidation project is simply much cheaper than later on, when your project and credibility are at stake.

Citrus Replay can help you understand your data faster, and in more depth. It can help you find issues early, scope your project, or simply validate that the data can support the intended purpose.

Find our more about Data Profiling

Data Quality

Data Quality all about making sure your data is fit for purpose. It's a process to ensure the completeness, validity, consistency, and timeliness of your data with regards what you want to do with it:

  • Create visual rules with automatic exception handling and find exceptions quickly
  • Create a libraries of business rules for specific applications
  • Reuse rules across different databases
  • Create executable models to encode the rules and exceptions
  • Annotate the dataset to show which rule a data row failed

See Data Quality for more information.