Automating
Business AnalysisAutomating business analysis requires organizations to consider a wider range of operational and business issues in the quest to achieve business efficiency, and ultimately zero latency. Beyond the normal feature evaluation organizations need to consider the architecture, performance and scalability required to support enterprise users. This is critical to meet the deployment requirements and user needs involved in environments saturated with customer data.
Increasing business efficiency is primarily achieved
through streamlining activities. However, equally important is
the need to reduce the complexities that many business users face.
Using analytics that are integrated or embedded can provide meaningful
information that allows new insight and knowledge and also automated
actions that take quick advantage of this knowledge.
This can only be achieved by using a solution designed to be integrated
and customized to meet an organizations specific requirements.
Unlocks the investment in CRM, DW, ERP and e-commerce systems
by transforming, cleansing and preparing data for business analysis
and knowledge discovery.
Combines ease-of-use with enterprise scalability to uncover latent knowledge from massive amounts of complex data relationships. It provides business users data mining benefits without the need to learn about specialized algorithms or techniques.
Identify and visualize the relationships and explains the meaning of the discovered knowledge to aid the decision-making process.
Automates the decision-making process and enables business users to manage business processes effectively and timely.
Delivers personally relevant content, targeted knowledge
and real-time recommendations to business users across
the enterprise.
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Where most vendors tackle a subset of the above steps, the Intelligent Enterprise Server encompasses all of the above steps, to achieve for the customer, either
in business
analysis, resulting in total knowledge
discovery. |
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