Customer Relationship Management (CRM)
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Business Intelligence - Helping CEO
What is Business Intelligence (BI)?
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making.

What is Business Intelligence Dashboard?
A business intelligence dashboard is a GUI interface that displays the current status of metrics and key performance indicators (KPIs) for an enterprise.

Where do Big Data, Analytics and CRM fit in the picture?

Big Data:
Big Data is both structured and unstructured data and making sense out Big Data is what is known as Big Data Analytics. This easy said than done since different businesses have different needs, clientless, customer expectations, plans and management.

Analytics is used to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.

Customer Relationship Management (CRM):
CRM is an approach to managing a company's interactions with current and future customers. It often involves using technology to organize, automate, and synchronize sales, marketing, personalization, segmentation, customer service, and technical support.

Our BI Goals in Real-Time:

BI Framework

       Make more sense of Big Data
       Remove human errors
       Intelligent decision based on Analytics, CRM and Big Data
       Make Changes to company's portals and IT system in real-time
       Save time
       Save money
       Monitoring progress
       Improve company performance

Our Approach:
Decision Support System (DSS) - Dashboard would help with decision making based on Analytics and CRM services. CEO would be working with GUI DSS interface and making decisions and changes in real-time. Our architect is based on our BI Framework which is composed of four levels of Java Map:

       Macro Decisions - used by CEO
       Micro Decisions - used by business analyst
       Processes - used by architect
       Java Code - used by Java developers

The quickest example to illustrate how our DSS system works in real-time. Let us assume that based on our Analytics-CRM services which is recommending that the company needs to run a promotion and certain items to be put on sale (reduce by 50% in prices) in the next two weeks. Such decision created in Macro Decision level would not require any changes in any of the lower levels include Java code. With same talk, if the business analyst decides to add an additional Micro Decision to an existing Macro Decision. If the newly added Micro Decision is composed of the existing processes (different in sequence of execution), then the analyst would be able to add such changes and no changes would be required by any of the other levels. With help with DSS interface, CEO decision would be translated in real-time to changes in the company's portals with 50% promotion without any changes in the other three levels.

We added Dynamic Business Rules to help make the system dynamic and changes in any rules would not require any code change.

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