BI & Improving Its Efficiency

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

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BI & Improving Its Efficiency

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