Home // CLOUD COMPUTING 2020, The Eleventh International Conference on Cloud Computing, GRIDs, and Virtualization // View article

Secure Business Intelligence Markup Language (secBIML) for the Cloud

Authors:
Aspen Olmsted

Keywords: Business Intelligence; Cloud Computing; Heterogeneous Data

Abstract:
Enterprise organizations have relied on correct data in business intelligence visualization and analytics for years. Before the adoption of the cloud, most data visualizations were executed and displayed inside enterprise applications. As application architectures have moved to the cloud, many cloud services now provide business intelligence functionality. The services are delivered in a way that is more accessible for end-users using web browsers, mobile devices, data feeds, and email attachments. Unfortunately, along with all the benefits of the cloud business intelligence services comes complexity. The complexity can lead to slow response times, errors, and integrity issues. An information technology department or service provider must get ahead of the problems by automating the execution of reports to know when availability or integrity issues exist and dealing with those issues before they turn into end-user trouble tickets. In this paper, we develop an Extensible Markup Language programming language that allows execution against many cloud documents and business intelligence services. The language enables issues to be proactively discovered before end-users experience the problems.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2020

Publication date: April 26, 2020

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-778-8

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020