Abstract: A method is disclosed for facilitating visualisation of status data in an electronic system. The status data comprises metadata including a plurality of information context categories. The status data also comprises data nodes, each data node including specific instances of a respective context category. The method starts with selecting possible data combinations and permutations of the information context categories, each permutation defining a respective hierarchy. For each permutation, information content of data for each node of the respective hierarchy is estimated and an informative tree and total entropy for all informative nodes are found. The permutation and the informative tree that has the lowest total entropy are then presented to the user.

Abstract: Measurement errors arising from presentation aspects of a survey are detected and can be corrected, based upon responses from a selected set of respondents to different survey presentations. The survey presentations are different not in their information content, but in their presentation, such as using a different order of questions. An alternative presentation or presentations for the survey can be derived such that the measurement error is reduced. Accordingly, an “unbiased” survey can be designed in the pre-deployment phase, or measurement errors can be detected and corrected during the deployment phase.

Abstract: A method is disclosed for facilitating visualisation of status data in an electronic system. The status data comprises metadata including a plurality of information context categories. The status data also comprises data nodes, each data node including specific instances of a respective context category. The method starts with selecting possible data combinations and permutations of the information context categories, each permutation defining a respective hierarchy. For each permutation, information content of data for each node of the respective hierarchy is estimated and an informative tree and total entropy for all informative nodes are found. The permutation and the informative tree that has the lowest total entropy are then presented to the user.

Abstract: A method, system, and computer program product for a multi-resolution storage scheme for historical data are provided. The method includes dividing the historical data into a plurality of time frames and determining an amount of compression for each of the time frames, where at least two of the time frames have a different amount of compression. The method further includes applying the amount of compression to each of the time frames, resulting in multi-resolution historical data, and storing the multi-resolution historical data.

Abstract: A method, system, and computer program product for a multi-resolution storage scheme for historical data are provided. The method includes dividing the historical data into a plurality of time frames and determining an amount of compression for each of the time frames, where at least two of the time frames have a different amount of compression. The method further includes applying the amount of compression to each of the time frames, resulting in multi-resolution historical data, and storing the multi-resolution historical data.

Abstract: There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

Abstract: There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

Abstract: Disclosed is a management system of a managed system. The management system includes a data sensor layer that interfaces with the managed system to collect raw data. The data sensors in the data sensor layer add semantic tags to the raw data to form tagged data. The semantic tags are maintained throughout the life cycle of the tagged data. The management system further includes a core engine for processing the tagged data based on the semantics tags.

Abstract: Historical data accumulated during routine business operations is analyzed to prepare a ranked list of prospective objectives for a survey. Specified relationships are used in conjunction with relationships inferred from the historical data. Collectively, these relationships are referred to as the model. Deviation of the current data or a subset of the data from the model, and the extent of this deviation, is used to prepare a ranked list of prospective objectives for a survey. Surveys focusing on one or more of these objectives are prepared for obtaining business intelligence. A list of prospective objectives of a survey is validated against the model to design more informative surveys.

Abstract: Measurement errors arising from presentation aspects of a survey are detected and can be corrected, based upon responses from a selected set of respondents to different survey presentations. The survey presentations are different not in their information content, but in their presentation, such as using a different order of questions. An alternative presentation or presentations for the survey can be derived such that the measurement error is reduced. Accordingly, an “unbiased” survey can be designed in the pre-deployment phase, or measurement errors can be detected and corrected during the deployment phase.