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8/8/2019 BI & Improving Its Efficiency
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Business Intelligence andimproving its efficiencyPresented by:
Pratik Gadade (PG 918)Jaipal Pawar (MMS 942)
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Agenda Introduction1
Facts about BI2
WhyBI could fail3
Crucial success factors for BI4
BI in manufacturing industry5
BI still a challenge for manycompanies6 Answer to these challenges through SaaS BI7
Improving BIs implementation efficiency8
Conclusion9
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What is Business Intelligence?
In a generic sense usinessIntelligence can be defined asLeveraging the organizationsinternal and externalinformation assets for makingbetter business decisions
IT Vendors Make usinessIntelligence components of
their toolsets Some Vendors have entire tools
that are called a usinessIntelligence Suite
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Lets Dispel Some Myths
You dont need to use a major vendor toolset andcan still engage in I activities
ShinyGraphs and Charts are nice but .I. is
much deeper than that
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B.I.s aims at.. The goals for usiness intelligence projects are to provide
information used to
Support internal enterprise users in the assessment, enhancementand optimization of organizational performance & operation.
Deliver critical business information to end-users about value chainconstituencies such as customers and supply-chain partners
End-users can utilize the I tools to "drill-down" and "slice anddice" to gain a better understanding of transactional and operational
information.
Thus I aims at gathering and processing the available data,building content rich and absolutelyrelevant information, andincorporating it back into dailybusiness operations so thathigher managers can make timely& business effective
decisions to plan for the better future
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How it does?
B.I. helps in IT-enabled business decisionmaking based on simple to complex dataanalysis processes through
Database development and administration Data mining
Data queries and report writing
Data analytics and simulations
Benchmarking of business performance
Dashboards
Decision support systems
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Why B.I.?
Make more informed business decisions: Competitive and location analysis Customer behavior analysis
Targeted marketing and sales strategies Business scenarios and forecasting Business service management Business planning and operation optimization
inancial management and compliance
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Facts about B.I.` Through2012, more than 35 % of the top 5,000global companies will
regularlyfail to make insightful decisions about significant changes in theirbusiness and markets
` By2012, business units will control at least 40% of the total budget for BI
` By2010, 20% of organizations will have an industry-specific analyticapplication delivered via software as a service (SaaS) as a standardcomponent of their BI portfolio
` In2009, collaborative decision making will emerge as a new productcategorythat combines social software withBI Platform capabilities
`
By2012, one-third of analytic applications applied to business processeswill be delivered through coarse-grained application mashups
Source: Gartner Research, Jan2009,http://www.gartner.com/it/page.jsp?id=856714
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Technologies Supporting B.I.
Database systems and database integration
Data warehousing, data stores and data marts
Enterprise resource planning (ERP) systems
Queryand report writing technologies Data mining and analytics tools
Decision support systems
Customer relation management software
Product lifecycle and supplychain managementsystems
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BI Can Fail Because it is Often
MostlyReliant onnon Real-time data
Reactive rather than proactive
Summarizing past rather than looking forward
Esoteric Employees withnecessarybusiness and technical skills
are rare
Employees refuse to understand implementation ofBIand resist to make use of it in decision making
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Improving Efficiency
For success ofBI following factors are critical,
UnderstandYour Data
StrongFoundation
Must be accurate What Systems,What Data
Who Owns the data
What ProblemAreWe TryingTo Solve /Strategy
What is the desired outcome
What is the problem were trying to solve
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User Community Who are we serving
Understand the disparate groups
What information to theyneed
What decisions will theymake with this information
Is their real need to implement BI ? Understanding of clear business benefit bydoing the
implementation
Needs and benefits of the implementation are sometimes drivenbycompetition and the need to gain an advantage in the market
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7 crucial success factors for the
implementation of a BI
Business-driven methodologyand projectmanagement
Clear vision and planning
Committed management support & sponsorship Data management and quality
Mapping solutions to user requirements
Performance considerations of the BI system
Robust and expandable framework
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BI in Manufacturing Industry
With increasing competition and lesser product life cycles in todaysmarket manyfirms have adopted Business Intelligence (BI) Reporting &Analytics software as part of their strategic approach for attaining theirgoals
Theyare streamlining the information flow both across the organization
and through the tiers of the supplychain to reduce cycle andmanufacturing times and adapt quicklyto market changes
Manufacturing MIS (needs in manufacturing business)
Material requirements planning (MRP)
Determine when finished products are needed
Determine deadlines accordingly
Manufacturing resource planning (MRPII)Network scheduling
Improve customer service and productivity
Just in time (JIT) inventorysystem
Inventoryand materials delivered right before usage
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BI in Manufacturing Industry
BI helps companies in the manufacturing industry: Increase the value of customer relationships
Respond quickly to changing markets and company sensitivities
Accelerate new product time-to-market
Reduce inventory investment
Improve planning, scheduling, and the procurement schedule Maintain and develop quality assurance
Select and apply world-class technologies
BI can be used to increase the flexibility and speed of operationalreporting,
Quickly generate established reports Easily create ad-hoc reports
Isolate specific problems
Analyze data across multiple systems
Integrate new data sources
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BI Is Still A Challenge For Many
Companies
Business users still find BI challenging
Complex tools, difficult interfaces
Lack of relevant, timely, or reliable data
Limited BI coverage and support for thedata and applications theyneed to
access
Uphill battle for IT
Growingnumber of data sources,
inside and outside the enterprise
Securityconcerns
High cost/ long deployment ofBI on
premise projects
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Answer to these Challenges through
SaaS BI
The benefits of SaaS can address these challenges & thus helpbusiness user byfollowing ways:
Cost effective Payasyou go Quick deployment Fast time to value
Limited IT resource needs for implementation and management
Now a days the Business users are driving most SaaS purchasingdecisions
Initiated byline of business managers
Approved as joint decision between line of business and IT
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Improving BI projects implementation
efficiency The timelycompletion and successful implementation ofBI projects
provides a competitive advantage to the adopting organizations.
Unfortunately, in this aspect there are more failures anddisappointments than successes
AGILE iterative and incremental development approach combined withlight weight project management principles, such as SCRUM, greatlyimprove this track record
Main objective is to increase the ROI of the BI initiatives by:
Reducing the initial investment required to launch a BI project byquicklydelivering tangible components to the business users
Accelerating the availabilityof the information byusing an incrementalapproach
Delivering the right solutions to the business users byworking iterativelywith them to fullyunderstand the requirements.
Prioritizing the work so the requirements with the highest value and ROI areaddressed first
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Improving BI projects implementation
efficiency market data confirms that out of the 3 standard project dimensions
time, resources, and scope timelines and resources typicallyexceed theinitial plan while scope consistentlyfall short of the originalexpectations and requirements
The proposed approach to BI development can be summarized bythefollowing principles: Segment the development of components into small iterations of1 to 4 weeks
and frequentlydeliver completed objects (keyperformance indicators,metrics, reports, dashboards, cubes, etc.) at the end of these iterations
Repeat the iterative process and use increments to add components to the BIarchitecture and infrastructure
Prioritize the development of components that will deliver the highest valueto the organization first
Use a slicing approach to go from source systems to presentation layer
Avoid analysis -paralysis byusing a non-superfluous approach indocumentation, architecture, modeling, project management and otheroverhead activities
Learn from each of the iteration and adapt the process accordinglytoincrease efficiency
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Conclusion
So we have seen BI advantages & the current
shortcomings & challenges in this domain, & toencounter these issues we need to look not onlytowards the technological improvement butalso at how efficiently & with improved success
rate the BI projects can be implemented.
Thank You