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Enterprise Resource Planning & Business Intelligence

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Presentation on theme: "Enterprise Resource Planning & Business Intelligence"— Presentation transcript:

1 Enterprise Resource Planning & Business Intelligence

2 PART 1: ERP

3 What is ERP? Enterprise Resource Planning
Argued on resource and planning Agreed upon on enterprise! Integrate all departments into one system Highly complex infrastructure Payback if installed and run correctly ERP as integrator Tightly coupled in 90s

4 Improving Business Performance with ERP
Best demonstrates value at order-fulfillment Value results from complete integration Have all the necessary information Automatic routing to other departments ERP makes efficient, NOT simple! Every must wake up A test of accountability, responsibility and communication

5 Improving Business Performance with ERP(Cont’d)
People are resistant to change ERP is asking for change Gain value if: Use ERP to improve processes No value if: Just improve the system, not the process ERP could also slow you down!

6 Fixing Integration Problems With ERP
Hopes in the early 90s ERP can … and at the same time can not! Fix integration in a theoretical way ‘Everything is done here’ attitude Mid and late 90s Realize that ERP is just a chunk of systems No anticipated integration from vendors ERP is what it promises to save you from! We are seeing gradual change!

7 Fixing Your Business With ERP
Integrate financial information Different versions of the truth Integrate customer Order Information Easier communications, planning, tracking and shipping Standardize Manufacturing Increase productivity and decrease headcount Reduce Inventory Improves flow and visibility Standardize Human Resource Benefits, services, etc

8 Fitting ERP into Your Business
Most packages are comprehensive But each industry has its uniqueness If it doesn’t support your needs 1. Change the process to accommodate the software 2. Modify the software to fit your processes Can send costs out of control faster than any IS investments

9 How Much Does an ERP Cost?
Varies…. Numerous variables play a role Rule of thumb 6 X cost of licensing ERP cost stats: Average cost: 15M Range: 400 K – 300 M Average TCO per person: >50K Payback is modest 8 months waiting time 1.6 M

10 Hidden Costs 1. Training 2. Testing and Integration 3. Customization
Most underestimated Not just learning the interface Tip: Double or triple budget 2. Testing and Integration Add-ons such as SCM Tip: choose the same vendor 3. Customization Playing with fire No vendor support Tip: Avoid if possible

11 Hidden Costs (Cont’d) 4. Conversion and Analysis 5. People
Messy data Prepare for data warehousing 5. People Consultants will lock you in Consultants will steal your ERP people 6. ROI and Depression ROI takes time 25% admits drop in performance

12 ERP Failures Because it is a flow of best practices
Need to adopt Resistance is the start of failures Install or Not? How should it be installed? Modify? Software or habit?

13 Organizing ERP Project
1. Big Bang Approach Most ambitious and difficult Drop legacy… install ERP 2. Franchising Approach Most common Multiple instances of ERP 3. Slam Dunk Approach Grow into your ERP

14 Organizing ERP Project (Cont’d)
Consider single instance if: Have common business processes Need to replace older systems Have multiple instances from one vendor Consider layering if: Have Unique processes Considering other investments (deeper) Aiming for an easily integrated environment

15 PART 2: Business Intelligence

16 What Is Business Intelligence?
It is a theory A set of processes Purpose To collect and analyze business information Familiar? It includes the technology Used to generate knowledge

17 BI Processes Crucial need for information Recent uses of BI
Could go as far as being the differentiating factor Information gained internally and externally Key is to help businesses achieve short-term and long term goals

18 The BI Technology Used to enhance data into information then into knowledge Software is used to help make “better” business decisions A generic concept? Think CRM, DSS, EIS… Any software that ease the ways to gather and analyze large quantities of unstructured data

19 What Started BI? The past…
Analogy to the Art of War Full knowledge of your strength and weaknesses as well as your competitors’ In the past… Struggle to collect data Business decisions based on intuition This is the differentiating factor.. Real Vs Intuition

20 What Started BI (With Automation…)
As businesses automates Sporadic data Long time to integrate, clean and analyze Long term goals are no longer based on intuition What about short term?

21 What Started BI (Recent devlopment)
With recent development in Enterprise Apps, computing power, EAIs, etc… Data collection is better and easier What about data analysis? So we hear OLAP Generates ad-hoc reports which analyzes the data Cross analyze and ‘drillable’ capabilities Superfast!!!

22 Key Performance Indicator
Metrics used within BI solutions To quantify objectives and performance Assess the present state KPIs are measurable and quantified per something Ex: Revenue per customer (like CRM) from Rp. 100,000 to Rp. 200,000 by 2008

23 The Typical KPI Either around customers or balances
Profitability, acquired, status, turnovers Balance Outstanding, bad debts, delinquencies Anything quantifiable can be KPI, the point is: Consistent and correct data Timely Availability Time is becoming more of a concern nowadays For short term decisions

24 OLAP Is online analytical processing
Provide answers to analytical queries Dimensional in nature Exists as a configuration in a database! FASMI – Fast Analysis of shared multidimensional information

25 OLAP Functionalities Takes the source data and create OLAP Cubes
Tremendous speed .1% than relational Cubes are premade data sets that aggregates several dimensions Can get large… therefore only some are aggregated while others calculated on demand!

26 Types of OLAP Multidimensional (MOLAP) Relational (ROLAP)
“Classic” and most typical Relational (ROLAP) Works with relational Databases Hybrid (HOLAP) Implements both MOLAP and ROLAP Each has benefits and downfalls Molap is better for small data Rolap is more scalable

27 The OLAP Cube Extension of 2 dimensional relationship
Used to analyze “n” dimensions of data Can analyze from different dimensions Re-orientation Slicing enabled To pinpoint what produced the difference More than three dimensional Be careful on further readings Consistency is main issue Replace nulls with 0s

28 Understanding the OLAP Cube (The square and the cube)
Start with a typical report Now you have a square Let’s add the months It is a cube 12 excel sheets… analyze that!

29 Understanding the OLAP Cube (N dimensional)
Let’s add customers N dimensions Now let’s we can slice Automatically generated reports Usually in excel

30 Understanding the OLAP Cube (formulas and hierarchies)
You can even add formulas Pre-calculated so it is fast Data becomes redundant Usually hierarchies are added For other categories So user can aggregate per category Do not visualize     Total         Writing Materials            Pens            Pencils            Erasers         Storage Media            Diskettes            CD-Rs            CD-RWs 

31 BI Facts (Industry growth)
Growing industry… 12% from 04-05 Gartner: BI is top spending priority with increase of 4.8% in 06 Forrester: 45% of those surveyed plans to buy BI solutions Cost varies greatly (like CRM) So does implementation time

32 BI Facts (Costs and ROIs)
Cost is not the main issue Explains the rush into BI ROI is positive Can be as fast as 2 months Can reach ROI from reports savings in toner, paper and wear and tear. Solutions vary from 250K, 750K, into millions. Cheaper solutions do exist Emergence on open source BI solutions Ventana: “adoption in open source BI is progressing more rapidly than ever understood”

33 Issues on BI Implementation
Lack of user awareness Make it as easy as possible Avoid under-utilization Slow enhancements Requests are scary, but realize that it is a positive signal! Vendor dependence (Or IT) Enable users to generate reports… IT is slow, speed is crucial!

34 Once you have the knowledge… Manage it!
KM is ways to manage, gather and use the knowledge To improve outcomes and organizational learning! It is a concept! Technologies are: Document management, expert systems, intranets and portals, content management, e learning tools, conferencing, collaborative apps, and even blogs and wikis Anything that produces a platform to gain and share knowledge to achieve goals!


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