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Carbon offsetting: is it a solution or not for zero carbon emissions?
With carbon offsetting a company can achieve part of its goal of a carbon neutral zero balance. But are there drawbacks in this solution?
Applications of Big Data and Predictive Analytics in the Agricultural Industry
May the use of big data and predictive data analysis change the agricultural industry?
The use of maps and scenarios in Climate Risk Management
Knowledge of how climate variables will evolve in the future is crucial to the sustainability of a country or company.
Sustainable Agriculture
Sustainable agriculture is meeting society's needs for agricultural products without compromising the future coverage of these needs.
New Technologies are changing Agricultural Production and Livestock Farming
Innovative technologies bring new practices in agricultural production and livestock farming, making them more productive and sustainable.
Estimating carbon emissions using satellites
Technological innovations such as IoT and satellite systems are the future of how data on emissions will be collected.
Fires in Greece
Information can be found in various sources. In private or public data bases. When these are combined they produce results.
How Big Data Analytics can shape business strategy for climate change
Big Data Analytics can shape the business strategy to address climate change issues by providing the necessary knowledge.
Forecasts of the financial management and data analytics
Long-term economic forecasts. Accounting science is no longer adequate. Modern analytical tools and data analytical techniques are required.
Customer Satisfaction Surveys: The next step
Assessing free text questions can be particularly expensive and time-consuming. Innovative analysis techniques provide the solution.
Business Intelligence – the next step – Part 2
New business needs demand from BI, innovative and advanced solutions based on the wealth of data that traditional tools cannot provide.
From Excel to Artificial Intelligence
Is it possible for an organization to move directly from Excel for Risk Management to Big Data and Artificial Intelligence?
Business Intelligence – the next step – Part 1
Traditional techniques are not enough for an organization now for the required reporting. They need to invest in new technologies.
In the era of Analytics
Data processing is not a new concept or process, nor is it a trend.
Predictive Analytics: The future is “now”!
With the use of predictive analytics businesses are able to predict future risks, opportunities and trends and make financial forecasts.
Case Study: Climate Change in the Agricultural Industry: Risk or Opportunity?
THE USE OF EXTERNAL DATA BASES FOR THE ESTIMATION OF FUTURE PRODUCTION CONDITIONS Although model predictions of future climate conditions...
The functionalities of RIBIA ERM at a glance
1. Risk Identification Data collection, risk identification and assessment according to the categories defined by international...
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