Customer Relationship Management (CRM)
Data Farm
Inc.®
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The Technical "Know-How"
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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:
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:
• 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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