Portfolio, property and unit analysis with user defined charts and reporting
Provides a summary overview for individual or groups of properties and entire portfolios.
KEL Dashboard enables users to draw upon live valuation data and produce analysis at unit, property and portfolio level. The outputs are user defined and so can be combined and tailored for internal requirements, or external reporting to clients and investors.
Analysis of income, market rent, yields and capital values is available using generic valuation data. Users can also utilise our pre-populated categories, for example, to interrogate the environmental credentials of a portfolio. Alternatively create your own specific analysis metrics with an unlimited number of categories possible.
KEL Dashboard is included within KEL SigmaPlus, at no additional cost.
Easy to use
Dashboard uses live valuation data in real time, thereby removing the risks associated with gathering data from different sources
Flexible
Built in flexibility allowing every user to run the analysis they require and create bespoke reports, or standardised templates used across the wider team and to report to clients.
Productive
The reports produced are instant from a ‘click of the button’. From individual properties for Investment Committee to monitoring portfolio impact following sales and purchases.
Transparent
Analysis parameters based on income, MR or capital value are set by the user; reporting through charts and tables is also configurable too.
What our clients are saying
Stephen Bennett - Hanlon Bennet
"I have been working with KEL for over 10 years and have always found the program and support staff to be responsive and user friendly. In particular, the input screens follow a very logical sequence which facilitates rapid data input and checking, allowing me to produce 'first cut' analysis very quickly - essential for an Investment agent. The functional addition to convert to a specified export file is useful in accommodating clients running other software, without compromising the quality of my analysis.
Well done KEL - keep up the good work."