Abstract: A method, an Activation Node, a computer program and a computer program product for orchestration of activation actions are provided. The solution provides for avoiding an imperative way of specifying the logic and manually defining its level of parallelism. The Activation Node is configured to deploy or fetch a specification, the specification mapping dependencies between a data model for an activation request to a data model of lower layer resources, to be used for orchestrating execution of the activation actions; receive an activation request; match the activation request with a specific flow of activation actions to be executed in in accordance with the specification; and execute the execute logic of the flow of activation actions ordered based on the dependencies between the data models.

Abstract: Techniques for detecting deviations in data repositories comprising a plurality of data posts, each data post comprising a number of data attribute values. A method comprises identifying comparable data post pairs, each pair comprising first and second data posts in first and second data repositories, respectively, wherein the first data post in a pair is comparable with the second data post of the same pair. Data attribute values of the first data post are compared with data attribute values of the second data post within a plurality of comparable data post pairs to determine quantified similarities between the data attribute values of the first and second data posts of each comparable data post pair. Statistical values of the quantified similarities are calculated by comparing comparable determined quantified similarities for each data post pair, and the calculated statistical values are used for detecting deviations for a first comparable data post pair.

Abstract: A method and service center (500, 600) for assisting a customer when said customer uses a communication device to navigate through a succession of choice options according to a default tree structure of option nodes. The service center obtains (202) customer information pertaining to the customer and identifies (204) from the customer information one or more customer-related keywords from a selection of predefined keywords. The service center then selects (206) a set of option nodes from the default tree structure based on a mapping of the one or more identified customer-related keywords to keywords assigned to the option nodes, and creates (208)a customized tree structure comprising the selected set of option nodes. The service center is then able to assist (210) the customer to navigate through a reduced succession of choice options in accordance with the customized tree structure, thus providing a more efficient and user-friendly experience to the customer.

Abstract: A consistency checker and (200) a method performed by a consistency checker (200) for finding inconsistencies of data posts stored in a data repository (220) is provided. The consistency checker (200) has a storage unit (202) in which a number of inconsistency patterns are stored, each inconsistency pattern being associated with an inconsistency analysis rule for a value of a data attribute.

Abstract: The present disclosure describes a method and an apparatus for detecting deviations in data sources, each data source comprising a plurality of data posts, each data post comprising a number of data values. The method comprises identifying (102) data post pairs, each pair comprising a first data post in a first data source and a second data post in a second data source, wherein, for a unique matching data attribute of the first data post and the second data post in a data post pair, a subset of the data value is equal. The method further comprises determining (104) whether individual of a plurality of combinations of data values of the first data post with data values of the second data post within each of the plurality of data post pairs fulfill individual of a plurality of relation pattern algorithms, and determining (106) a conformity level for the determined fulfillment of relation pattern algorithms for the plurality of data post pairs.

Abstract: The present disclosure describes a method and an apparatus for detecting deviations in data sources, each data source comprising a plurality of data posts, each data post comprising a number of data values. The method comprises identifying (102) data post pairs, each pair comprising a first data post in a first data source and a second data post in a second data source, wherein, for a unique matching data attribute of the first data post and the second data post in a data post pair, a subset of the data value is equal. The method further comprises determining (104) whether individual of a plurality of combinations of data values of the first data post with data values of the second data post within each of the plurality of data post pairs fulfil individual of a plurality of relation pattern algorithms, and determining (106) a conformity level for the determined fulfilment of relation pattern algorithms for the plurality of data post pairs.

Abstract: A consistency checker and (200) a method performed by a consistency checker (200) for finding inconsistencies of data posts stored in a data repository (220) is provided. The consistency checker (200) has a storage unit (202) in which a number of inconsistency patterns are stored, each inconsistency pattern being associated with an inconsistency analysis rule for a value of a data attribute.

Abstract: Techniques for detecting deviations in data repositories comprising a plurality of data posts, each data post comprising a number of data attribute values. A method comprises identifying comparable data post pairs, each pair comprising first and second data posts in first and second data repositories, respectively, wherein the first data post in a pair is comparable with the second data post of the same pair. Data attribute values of the first data post are compared with data attribute values of the second data post within a plurality of comparable data post pairs to determine quantified similarities between the data attribute values of the first and second data posts of each comparable data post pair. Statistical values of the quantified similarities are calculated by comparing comparable determined quantified similarities for each data post pair, and the calculated statistical values are used for detecting deviations for a first comparable data post pair.

Abstract: A system for provisioning services may include a device that may receive a service order that identifies a service to be provisioned. The device may obtain, using the service order, a specification for the service. The device may further identify, based on the specification, a service processing system to invoke for provisioning the service, and invoke the service processing system by sending the service order and the specification to the identified service processing system.

Abstract: A system for provisioning services may include a device that may receive a service order that identifies a service to be provisioned. The device may obtain, using the service order, a specification for the service. The device may further identify, based on the specification, a service processing system to invoke for provisioning the service, and invoke the service processing system by sending the service order and the specification to the identified service processing system.