Accenture Global Services Gmbh

Accenture Global Solutions Limited

Sameer Keshkamat

Madan Kumar

Prabir GhoushalKumar

Gautam Choudhury

Suhail Hagalwadi

Prakash Ghatage

Maheswari Venkatraman

Kunal Chaubey

Prabir Ghoushalkumar

A device may receive, from a user device, a request for a set of forecasts of an extract transform load (ETL) completion time for a group of ETL jobs associated with an organization. The device may obtain a set of performance indicators associated with the group of ETL jobs. The device may filter the set of performance indicators using one or more filtering techniques. The device may generate the set of forecasts of the ETL completion time by using a data model to process the set of performance indicators and/or a set of assumptions associated with a set of recommendations for reducing the ETL completion time. The device may provide the set of forecasts of the ETL completion time to the user device. The device may perform one or more actions that cause the ETL system to execute the group of ETL jobs within a threshold completion time.

Management of extract transform load (ETL) jobs via a model that is based on a bayesian network

A device may receive an indication to determine status information associated with a media content delivery of media content. The media content may be delivered via a content delivery system. The device may determine, based on information provided by devices included in the content delivery system, progress information associated with the media content delivery. The progress information may identify progress, associated with the media content delivery, with respect to one or more steps, associated with delivering the media content, performed by the devices included in the content delivery system. The device may determine the status information, associated with the media content delivery, based on the progress information. The status information may indicate the status of the media content delivery. The device may provide the status information such that the status information may be displayed as a visual indication of the status of the media content delivery.

Media intelligence suite

Tracking technology, in which document information for at least one document received for processing by a document processing system is obtained. The document processing system is configured to process the at least one document in stages that are performed by at least two different applications operated by at least two separate hardware systems. Status updates indicative of processing of the at least one document in each of the stages are obtained. A progress of the processing of the at least one document in each of the stages based on the status updates is tracked. The at least one document meets one or more pre-defined processing requirements related to the processing are evaluated. Information about the stages of the processing of the at least one document based on the tracked progress and the evaluation is reported.

Document tracking tool

Issue detection and handling technology in which issue definitions that enable detection of issues at different devices of an enterprise level system that operate different applications are maintained. Solution definitions that relate to resolving issues detected based on the issue definitions are also maintained. Issue detection logic based on the issue definitions is provided to each of the different devices of the enterprise level system. Issue detection information collected based on the issue detection logic is received from at least one of the different devices of the enterprise level system. Based on the issue detection information, an issue at the at least one device is determined. A solution definition related to resolving the determined issue is accessed from the solution definitions. Based on the accessed solution definition, an operation directed to handling the determined issue is performed.

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Bengaluru, India

Sameer Keshkamat