LeaseWave comes with a comprehensive list of industry-standard reports. These cover all business functions allowing you to efficiently manage operations and to get complete views of your portfolios. The LeaseWave database is designed to store information at a granular level, thereby facilitating aggregation at multiple levels (such as, asset, contract, customer, LOB, portfolio, etc.). Unlike in competing systems, time-sensitive reports (such as month-end reports) do not have to be run at a point in time. Intelligent input parameters allow users to filter the range of data they wish to see, making it easier to create historical views of data as of specified points in time.
LeaseWave has powerful ad hoc reporting capability aimed at the business user. LW ReportBuilder allows users to build one-time and recurring reports / data extracts off any accessible database. Typically, this is a mirrored instance of the production database or a specialized data mart that aggregates and de-normalizes information from LeaseWave and, where relevant, other data sources. Users with the relevant security access can also publish reports they wish to share with their user community. A robust security model governs access at the report and field (column) level.
LW Analytics is a multidimensional analytics environment where business users can build interactive dashboards off a target data source, without assistance from IT. Using a web-based interface, the tool allows users to flexibly “slice and dice” aggregated portfolio data to help visualize trends, identify revenue opportunities, evaluate risk, uncover hidden information and display data using native dashboards and embedded views. And best of all, LW Analytics can be used just as easily from your mobile phone as it can from your tablet, laptop and PC.
In line with Odessa's design philosophy, we are agnostic to your BI tool of choice. If you chose not to use the BI tool that comes with LW Analytics, you can use one that you already have in place or simply select another that better fits your needs while still continuing to leverage the underlying data mart.
The true asset-based design of LeaseWave ensures that data is stored in the most detailed level possible. By storing information against the lowest common denominator, users have the ability to aggregate information at whatever levels they desire. LeaseWave's standard reports provide for comprehensive coverage, running off the OLTP database or mirrored instance of it. For ad hoc reporting and business intelligence, LeaseWave uses a de-normalized data mart constructed based on extracts from the production database. Additional data sources can be added to this data mart / data warehouse as needed.
LW Analytics comes with a rich set of analytics tools. In addition to these, end users can collaborate with each other and with IT when necessary to create their own analytic apps and visualizations. The platform is designed for the intuitive creation of specialized analytics that can drill down on and help analyze highly specialized and unique datasets and variable combinations. In other words, there isn't an angle that can escape your discovery.
A powerful feature of LW Analytics is associative search. Comparative Analysis allows the end results of a particular search to be reviewed through multiple selection states. Users can compare multiple selections of the same data between tables, graphs and sheets, fluidly moving from one to another. This facilitates rapid analysis from different perspectives, making it easier to gain insight into trends, correlations and causalities. It also caters to individual learning styles and data consumption preferences.
The power of any analysis can be enhanced through organized collaboration. Multiple users contributing with their individual strengths and perspectives can add significant value to conclusions and decisions. LW Analytics allows groups of users to ask and answer streams of questions in real time as well as asynchronously. They can also participate on the go, from their mobile devices. By leveraging collaboration objects, shared bookmarks and Microsoft Office™ integration, the environment streamlines and organizes your collaborative efforts.
Developers can build extensions to the core application through standard APIs. For example, by using a document extension, you can track the usage patterns of an app by leveraging Google Analytics, without ever requiring the user to enter the Google Analytics environment. Extensions are built through a user interface and can be tested directly from Visual Studio.