The document discusses business analytics frameworks and trends. It provides Gartner's key findings that enterprises will use a combination of products and services to support diverse analytics needs. A strategic view requires defining decision-making and analytical processes. Gartner recommends using a framework to develop an implementation plan and portfolio of capabilities. The business analytics framework defines the people, processes, and platforms needed to take a strategic approach to business intelligence and analytics initiatives. Major focus areas for analytics include healthcare, finance, and supply chain.

1. PRESENTED BY:
 Bohitesh Misra
 Bijaya Prusty
 Satish Kumar
 Afzal Wadood
Business Analytics
Why now and what next?
15th April 2017

2. Gartner’s Key findings
• Enterprises will increasingly use a combination of products and services to support the
diversity of analytics and decision-making process within their enterprise.
• Interested business leaders recognize the diversity and interrelationships of the
analytic processes within the enterprise, and can address the needs of varied users
without creating disconnected silos.
• A strategic view requires defining decision-making processes and analytical processes
for BI implementation. Therefore, this framework clearly identifies the people,
process and platform.
• The program management, technology and complexity of skills associated with the
strategic use of BI, analytics increase dramatically as the scope of the initiative widens
across multiple business processes.
• There is no single or right instantiation of the framework; different configurations can
be supported by the framework based on business objectives and constraints.2

3. Gartner’s recommendations
• Use a framework to develop a strategy and an implementation plan, that business
leaders may not have otherwise prepared for.
• A portfolio of information management, analytic and decision-making capabilities will
be needed to meet the diverse requirements of a large organization.
• If the enterprise has a program management office, seek advice from it on balancing
investments across multiple projects, and consider bringing BI, analytics initiatives
within a formal program management framework.
• BI and analytic initiatives are best suited to iterative developments driven by a BI
competency center (BICC) that gather requirements, prioritize needs and deliver
solutions in phases.
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4. Business Analytics Framework
•Framework defines the people, processes and platforms
that need to be integrated and aligned to take a more
strategic approach to business intelligence (BI), analytics
and performance management (PM) initiatives.
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5. Business Analytics framework
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Strategy Desirable behavior
Business Performance Management
Data
Tasks
Consume
Produce
Enable
Capabilities
Decision
Analytics
Information

6. Business Analytics Framework
Align strategy and desirable behavior to Business Performance Management
• Strategy
• Plan of action to make choices regarding deployment of resources
• Who are the customers
• What product and services to include
• What unique proposition
• What processes
• Desirable behavior
• Corporate value statement
• Mission statement
• Rituals and structure
• Business Performance Management
• How can business performance be measured
• What are the determinants of business performance
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7. Business Analytics Framework - tasks
• Produce
• Tasks performed by analysts who define and conduct analytics for
decision making
• Consume
• Utilization of analytics for decision making
• Enable
• All IT tasks required for performing analytics and decision making
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8. Business Analytics Framework - process
• Decision process
• Tools that support delivery of information for making decision – reports and
dashboards
• Analytics process
• Portfolio of analysis methods and tools
• How do you measure success?
• What kind of analysis are you performing?
• What data and models do you use?
• How and where do you publish the results?
• Information governance process
• Technologies that help to organize, integrate and share data assets
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9. Business Analytics – why now ?
• There is ready availability of large amounts of data
• Maturity of business performance management created bridge between
business strategy and data
• Fact-based decisions have resulted in emergence of self-service analytics
and BI
• Advanced analytics techniques helped analysts to have access to
sophisticated algorithms
• Sharp decline in cost per performance level of computing power, data
storage and bandwidth
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10. Business Analytics – What next ?
• Analytics helps profitability in cross-selling and up-selling to
current customers
• Helps in reducing costs
• early payments to suppliers to take advantage of discounts,
• Retain cash as long as possible
• Use of matrices to find optimal balance
• Helps in detection and prevention of frauds
• Sophisticated forensic analytics to find irregularities in financial
transactions
• Helps in extrapolating current trends
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11. Business Analytics – What next ?
Major focus of use of analytics in areas like:
• Healthcare
• Financial accounting research
• Supply chain analytics
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12. Gartner’s Hype cycle for Business Analytics
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13. Business Analytics – Future trends
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14. Thank you !
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