Tag: reporting

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Since the Report Viewer control was first introduced over a decade ago, it has been a key component that allowed developers to surface report content easily in their applications. But although the application development landscape has changed significantly since that time, support for the control is limited to both WinForms and WebForms. With the introduction of new, cross-platform options starting with .NET Core in 2016, we’re focusing our investments on new capabilities in Microsoft Power BI to fill this need for you and your customers moving forward. As you ... Read More

Feed: Recent Announcements. Application Manager, a capability of AWS Systems Manager, announces a new feature for customers to report and visualize the cost of their applications through integration with AWS Cost Explorer. Application Manager is a central hub on AWS to create, view and operate applications from a single console. With Application Manager, customers can discover and manage their applications across multiple AWS services like AWS CloudFormation, AWS Launch Wizard, AWS Service Catalog App Registry, AWS Resource Groups, Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon Elastic Container Service (Amazon ECS). Using this feature, IT professionals can now view the ... Read More

Feed: Planet MySQL; Author: Daniel Nichter; In chapter 8 of my forthcoming book (more on this later), I discuss reporting MySQL transactions (among many other related topics). In the book, I note that the state of the art is practically nonexistent: transactions are important, but we just don’t monitor or report them in the world of MySQL. Historically (in older versions of MySQL), there was basically no way to do this because neither the general log nor the slow log printed transaction IDs. With vast improvements to the Performance Schema, MySQL transaction report is possible but there are no tools ... Read More

Feed: Recent Announcements. AWS Single Sign-On (AWS SSO) is now in scope for AWS SOC 1 , SOC 2, and SOC 3 reports. You can now use AWS SSO in applications requiring audited evidence of the controls in our System and Organization Controls (SOC) reporting. For example, if you use AWS to manage access to accounts and applications, you can use the SOC reports to help meet your compliance requirements for those use cases.  AWS SOC reports are independent third-party examination reports that demonstrate how AWS achieves key compliance controls and objectives. AWS SSO is where you create, or connect, your ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. SAP BW Data Mining allows creating data mining models that implement respective analysis methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors). Although analysis methods available via SAP BW Data Mining provide extensive reporting and visualizations, there could be a need for additional model- and method-related analytics that would facilitate management and deployment of the content created with SAP BW Data Mining. In this paper we will present the following analytics: Dashboard - SAP BW Data Mining Model Reporting Business Requirements The main use of ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various clustering approaches. The clustering-specific reporting of the method makes possible analysis of the modeling results. In this paper we would like to discuss extensions to the standard reporting in order to improve insight into the results of clustering modeling. The mentioned extensions are implemented via the following analytics: Dashboard ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. SAP BW Data Mining allows creating data mining models that implement respective analysis methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors). Although analysis methods available via SAP BW Data Mining provide extensive reporting and visualizations, there could be a need for additional model- and method-related analytics that would facilitate management and deployment of the content created with SAP BW Data Mining. In this paper we will present the following analytics: Dashboard - SAP BW Data Mining Model Reporting Business Requirements The main use of ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various clustering approaches. The clustering-specific reporting of the method makes possible analysis of the modeling results. In this paper we would like to discuss extensions to the standard reporting in order to improve insight into the results of clustering modeling. The mentioned extensions are implemented via the following analytics: Dashboard ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. SAP BW Data Mining allows creating data mining models that implement respective analysis methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors). Although analysis methods available via SAP BW Data Mining provide extensive reporting and visualizations, there could be a need for additional model- and method-related analytics that would facilitate management and deployment of the content created with SAP BW Data Mining. In this paper we will present the following analytics: Dashboard - SAP BW Data Mining Model Reporting Business Requirements The main use of ... Read More

Feed: Top Blog Posts. Author: Sergey Lukyanchikov. Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of parameters (e.g., maximum number of clusters, minimum fraction of inter-cluster hops per iteration, etc.) in order to implement various clustering approaches. The clustering-specific reporting of the method makes possible analysis of the modeling results. In this paper we would like to discuss extensions to the standard reporting in order to improve insight into the results of clustering modeling. The mentioned extensions are implemented via the following analytics: Dashboard ... Read More