OBIEE and OBICS - BISP Solutions
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Easy and Affordable Analysis for Everyone
Getting meaningful actionable analysis based on the right data has become imperative for organizations to make the decisions that boost business growth. Oracle Business Intelligence Cloud Service (OBICS) is a robust BI platform run on the cloud provides agile analytics. BISP has an extensive knowledge of this amazing cloud platform that we can utilize to help organizations get the cost benefit of the cloud while using the potential of Oracle’s premier enterprise BI Tool.
Oracle Business Intelligence Cloud services allow users to get access to the most relevant data anywhere, anytime. The business intelligence cloud means everyone can tap into the robust analysis across the organization.

Speed-Up and Improve Decision Making

OBICS provides comprehensive and secure data access while reducing the barriers to access the information with the cost-effectiveness of the cloud. This is help organizations speed up and improve decision-making process across the business.

BI For All

From a single workgroup to the entire organization, BI cloud platform makes analytics available for everyone whenever they need it. Users from any department can easily merge data from various sources and instantly produce bilateral analytical reports and applications.

Better Analysis

Along with Oracle Database as a Cloud Service, BI Cloud Services features advanced capabilities to translate complex analysis into instant visualizations, allowing users to analyze data like never before – all in the cloud environment, at low cost.

Secure Platform

OBICS are managed and hosted by Oracle, offering the highest level of security standards, helping ensure the complete security of data.

OBICS is an ideal solution for growing enterprises, small businesses and workgroups in the large organizations to deploy business intelligence in an instant and cost effective manner. It provides teams with interactive dashboards, high-quality visualizations, and powerful analysis to act rightly on the data.