Business intelligence (BI) is the insight, skills, information, technologies, applications, practices and visual presentations derived from data and used by organizations to acquire a better understanding of its commercial context, strategic thrust, operating business model and level of accomplishment from a wide array of perspectives. Its purpose is to enable better business decision-making. Business Intelligence provides historical, current, and predictive views of business operations from low level atomic detail up to high level summary. Common functions of Business Intelligence are Reporting, On-Line Analytical Processing, Data Mining, Business Performance Management and Predictive Analytics.

SIS-G’s belief is that the ability to distribute and present relevant information is a significant enabler of organizational success in the future. Our strategy is to implement low cost, high performance, meaningful Business Intelligence applications that enable clients to visualize what is real and respond with more profitable business decisions.

By virtue of the deep business analysis roots of our consultants (MBAs, CPAs), SIS-G has reduced Business Intelligence cost and increased quality by implementing semantic reporting layers with adequate metadata that support essential standardized report distribution and regulatory compliance, as well as productive ad-hoc query. We have provided added value to customers, vendors and partners by implementing large extranet reporting capability.

We are positioned to continue rollout of increasingly faster and more visual and predictive analytical applications, while reducing cost further, by deploying automatically upgraded Information-as-a-Service (IaaS) Business Intelligence applications running in a cloud computing environment. We can embed analytics in operational systems, relating visualization of long term trends to daily activity. These capabilities are enhancing the leadership position of SISG’s Business Intelligence Practice and our Client’s ability to react quickly to daily threats and opportunities.

Also offered are advanced techniques such as Monte Carlo simulation, regression analysis, analysis of variance (ANOVA), and correlation studies, which can aid clients in anticipating future scenarios, and creating strategies in advance, to address dynamic opportunities and challenges. Insurance and banking industries for example can take advantage of these advanced SISG capabilities.