Chateaux uses QlikView technologies to deliver true self-service Business Intelligence (BI) that empowers business users and drives innovative decision making. Chateaux is able to create customized solutions allowing users to easily view and analyze data, including analysis of key performance indicators with the ability to measure KPI changes over time; what-if scenario analysis; and data-level security privileges for internal and external users.
QlikView empowers business users by allowing them to model, navigate and visualize data. This is done in 3 simple steps:
- Extract, model, and load data into QlikView to meet business requirements.
- Create a graphical interface for business users.
- Distribute the interface using QlikView Server and Publisher so users can easily access reports.
- In-memory data storage - Enabling analyses that are significantly faster than traditional BI.
- Data compression – QlikView compresses data to 10% of its original size. As a result, it can handle larger data sets without increasing hardware investment costs.
- Flexible reporting - Users can explore and interact with their data without the standard limitations of pre-defined drill down, static dashboards, or preconfigured reports.
- Design - Users can easily visualize data with engaging, state-of-the-art graphics.
- Relationships in data – QlikView allows users to quickly and easily see relationships in the data for a quick path to insight. Users can see both the data that is and is not associated with their selections.
- Comparative analysis – Allows for the comparison of multiple views which makes spotting trends, outliers, differences, opportunities or threats easier.
- Mobile discovery platform – QlikView delivers full mobile functionality for tablets on Apple iOS, Android and Blackberry platforms.
- Version control integration – A central source control system, such as Microsoft Team Foundation Server, can be directly accessed from within QlikView desktop.
- Granular chart dimensions – Developers can create meaningful comparisons among dimensions in a chart by displaying the lowest values, first values, top values, etc., in a single chart. This previously required the use of macros and advanced aggregation functions.
- Real-time document collaboration
- Metadata enhancements
- Improved layout options