the draft strategy on climate and environmental changes and, at the same time, through the cbk strategic plan for the period 2024 - 2028, along with the national strategy at the country level for addressing climate and environmental changes. in conclusion, we can say that there is great potential for support in this sector and from the financial industry through various forms, both in lending and providing products in 2 / 3 bis - central bankers'speeches order to mitigate risks and increase sustainability. financial protection, access to financial services, the overall sustainability of this sector and increased prospects for economic development in general remain the cbk's dedications and priorities. i wish you successful work on the following panels and thank you! 3 / 3 bis - central bankers'speeches

best practices and adequate safeguards that allow the use of such data without impinging on individuals ’ privacy. bis central bankers ’ speeches second, we should be aware of the risk of drowning in a sea of data. as nobel laureate herbert simon put it : ‘ a wealth of information creates a poverty of attention ’. the rather obvious characteristic of micro data is their size : micro data by construction are an overwhelming amount of information. it is important to look not only at the benefits of micro but also at the risks for policy makers. the risk is that policy makers are bombarded with too many numbers and, as a result, decision making is delayed. a simple example can elaborate this point. consider one of the key variables monetary policy monitors, m3 growth. the aggregate data on m3 is just one number or one time series, say 12 monthly observations. what are the corresponding micro data? one possible disaggregation of the aggregate is to look at the 6, 000 numbers describing the evolution of specific types of deposits in every single credit institution. what can policy makers do when confronted with, say, 6, 000 numbers? not much. perhaps they will set up a task force to examine the data and come back with a report in a month or two. it is important to note that policy makers do not and should not really use micro data. consider, for example, the micro data collected through the household consumption and finance survey i have mentioned before. are policy makers supposed to dig into these mass of data? of course not. the idea is to channel these data into statistical models that can produce interesting and useful summary statistics and uncover relationships which are important for policy success. policy makers should ask to see a picture of the whole forest, not a list of trees and should transfer to statisticians and economists the task of developing models and summary statistics that will follow developments and provide answers to their policy concerns. in order then not to lose sight of the forest, economists and statisticians must have clever tools that allow the proper manipulation of the micro data. policy makers must demand useful information squeezed out of the micro data so as to gain a better insight on the aggregate data. is m3 growth for real, or just the artifact of regulatory arbitrage? what is driving its growth? is it a widespread phenomenon or a few special outliers? what is behind a surge in credit? a few large corporations or many smes? the point is that statisticians have their work cut