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indicators
management, reporting and map visualization 
 

A multilingual cloud platform to work with indicators, i.e. entities that have target values, and assigned achievement values based on factual data.

Indicators can range in sophistication; they can include simple manual indicators, as well as list indicators, comprising more than one 'indicator items', each assigned a different weight. Also, model indicators, where the target values are not manually entered but calculated through models, including machine learning models.

Acknowledgments:

We wish hereby like to warmly thank the EU/ EASME and Horizon 2020 research and innovation program for granting us funding for SMETHOD, that set the ground-stone for the development of this environment

Resources

resources
a. leiminte in a nutshell

Work is organized in one or many projects, set up in a project category. Indicators are created within the project category, and apply across all projects; they may also be created, separately in every single project. Various users may be set up with various access rights. Each project may also be attached a number of additional, accompanying resources (tables, forms, checklists). Achievement data can be entered at any time by the authorized users.

In process, or final reports can be produced at any time. Two types of reports are possible; public and private depending on how their attached resources are classified.

If the indicator projects have a spatial dimension a visualization map can be set up providing graphical access to the project data and indicators.


b. videos, screencasts, slides

Introductory video (1min)
Presentation slides (9)

sustainability

performance

Eco- sustainability projects are currently implemented in 15 hotels in Cyprus and their progress and performance indicators are monitored via LEIMINTE. Due to the spatial context of the projects, the map visualization has been enabled. For the Star Growth project, a EC COSME project

certification

LEIMINTE hs been deployed in 360 tourism enterprises in Central Asia countries to support their documentation for CSR, EMAS and HCMI (Hotel Carbon Measurement Initiative). For the SWITCH ASIA projecrt EuropeAid program

company

segmentation

The innovation potential of companies financed by public authorities was modelled in LEIMINTE based on data of various public authorities. For the SMETHOD Horizon project, a pivotal moment for the development of LEIMINTE, as acknowledged in the here

risk

assessment

A venture capital innovation funding risk classification via ML classification.

For a private client

examples

case studies

FAQ
faq
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