At the moment, in the conditions of an actively developing information society, information is becoming a necessary factor of production, therefore ensuring the safety of data is an important issue. The article is devoted to the topical, today, problems associated with threats in the field of data storage. The definition of the concept of threat in the field of data storage is given; classification by types of threats is proposed; the following classes of threats in the field of data storage are distinguished: spatial, communicative, destructive; the actual components of threats are described. Based on the analysis of threats in the field of data storage, algorithms for ensuring the safety of information will be developed in the future.

Keywords: information, data, data storage, data safety, data integrity, data storage threats, data integrity threats

In this paper, a choice is made of the data processing algorithm necessary for the development of analytical software in the complex project ""Development and creation of high-tech production of an innovative system for the integrated accounting, recording and analysis of energy consumption and water consumption by industrial enterprises and utilities"" The review of existing algorithms and prediction methods in systems with a large number of parameters and a large epoch of analysis is made. A specific application for the desired algorithm is predicting the consumption of energy resources and water. Based on the review of algorithms, the algorithms chosen are most suitable for this task. The tandem use of the decision tree construction and the genetic prediction algorithm is considered. Further tasks that need to be solved for effective implementation of these algorithms in the development of analytical software are formulated.

Keywords: analytical software, forecasting, genetic algorithm