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Phinma SM Presentation Final

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    What should be the appropriate corporate

    portfolio structure for Phinma ?

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    Population

    101.8M

    81.1M

    Age Structure

    UrbanizationAround 25% of population in

    Philippines consists of 05-20

    age group with increasing

    percentage growth

    in urban

    area

    Philippines Environment

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    Unemployment Rate % Job Prospects Optimism

    GDP Real Growth % Population below Poverty Line %

    7.3%

    2.9%

    32.9%

    41%

    7.3

    9.6%

    Philippines Environment

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    CAPTIALINTENSIVE

    INUSTRY

    BUSINESSMED

    ECONOMICALHIGH

    OPERATIONALLOW

    FINANCIALLOW

    POLITICALMED

    Capital Intensive Industry Risks 1960s

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    CAPTIALINTENSIVE

    INUSTRY

    BUSINESSHIGH

    ECONOMICALHIGH

    OPERATIONALLOW

    FINANCIALHIGH

    POLITICALLOW

    Capital Intensive Industry Risks 1990s

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    SERVICEINDUSTRY

    REGULATIONS

    ECONOMICAL

    OPERATIONAL

    TECHNOLOGICAL

    Service Industry Risks

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    Business StrengthDiversified Business

    Technological Position

    Intl Collaboration

    Streamline Opt

    Margins

    Economical

    Infrastructure

    IndustryGrowth

    Technology

    High EndTech

    Political

    Import heavytech

    Social

    High skilledlabor

    Business & Industry Factor Energy Sector

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Raw Material 0.2 3 0.6

    Heavy Engineering/Infrastructure 0.15 3 0.45

    Profitability 0.2 5 1

    High Skilled Labor 0.1 3 0.3

    Growth 0.2 4 0.8Size 0.15 3.5 0.525

    Total 1 3.675

    Business Strength

    Diversified Portfolio 0.15 4 0.6

    Margins 0.2 1 0.2

    Technological Position 0.25 4 1

    International Collaboration 0.3 3 0.9

    Streamlined Operation 0.1 5 0.5

    Total 1 3.2

    Business & Industry Factor Weights Energy Sector

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    Business StrengthOperation Management

    No of Hotels/ Critical Mass

    International Exposure

    Lowest Rates

    Margins

    Important Sites

    Economical

    Tourism / GDP

    Infrastructure

    Technology

    Reachabilityvia Tech

    Political

    GovernmentSupport

    Social/Env

    PristineNature

    Hospitality

    Business & Industry Factor Tourism Sector

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Size 0.3 5 1.5

    Government Support 0.2 4 0.8

    Infrastructure 0.1 3 0.3

    Reachability via Technology 0.15 4 0.6

    Pristine Nature of Tourism 0.1 3 0.3

    Growth 0.15 4 0.6

    Total 1 4.1

    Business Strength

    People/ Operations Management 0.1 4 0.4

    No of Hotels/ Critical Mass 0.15 2 0.3

    International Experience 0.05 2 0.1

    Lowest Rates 0.15 2 0.3

    Margins 0.3 1 0.3

    Presence at Important Sites 0.25 1 0.25

    Total 1 1.65

    Business & Industry Factor Weights Tourism Sector

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    Business StrengthDistribution

    Economies of Scale

    Capital Intensity

    Margins

    Technology

    Economical

    HousingNeeds

    Technology

    TechnologyAvailability

    Political

    Governmentlaws/Compe

    tition

    Social

    Low SkillLabor

    Business & Industry Factor Roofing Sector

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Low Skill Labor 0.3 4 1.2

    Technological Availability 0.2 3 0.6

    Foreign Competition 0.2 2 0.4

    Growth of Housing Needs 0.2 4 0.8

    Market Size 0.1 3 0.3

    Total 1 3.3

    Business Strength

    Distribution 0.25 2.5 0.625

    Economies of Scale 0.3 3.5 1.05

    Capital Intensity 0.15 3 0.45

    Margins 0.15 4 0.6

    Technology 0.15 3 0.45

    Total 1 3.175

    Business & Industry Factor Weights Roofing Sector

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    Business & Industry Factor BPO Sector

    Business StrengthNiche SectorOperational

    Efficiency

    Margin

    EconomicalLow Price

    HighUnemploy

    ment

    Technology

    Connectivity

    Political

    TaxHoliday

    SocialEnglish

    Quotient

    Low WageRate

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Growth Rate 0.2 5 1

    Government Policies 0.25 5 1.25

    Human Resource 0.35 4 1.4

    Infrastructure 0.1 3 0.3

    Pricing0.1 4 0.4

    Total 1 4.35

    Business Strength

    Market Size 0.3 1 0.3

    Margins 0.25 3 0.75Sector 0.15 5 0.75

    Intangible Assets 0.2 4 0.8

    Technology 0.1 3 0.3

    Total 1 2.9

    Business & Industry Factor Weights BPO Sector

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    Business & Industry Factor Education Sector

    Business StrengthInfrastructure

    Spending Job FocusAdditional Revenue

    Marketing

    Economical

    UnemployabilityRising

    Economy

    TechnologyJob

    Restructuring

    Political

    GovernCompetiti

    veness

    Social

    JobProspects

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Student Enrollment Growth .25 3 0.75

    Job Prospectus .35 3 1.05

    Primary Education .20 3 0.60

    Teachers .10 4 0.40

    Government Competiveness .10 4 0.40

    Total 1 3.2

    Business Strength

    Economies of Scale 0.25 2 0.50

    Job Alignment 0.35 4 1.40Management 0.20 3 0.60

    Infrastructure 0.10 4 0.40

    Marketing 0.10 3 0.30

    Total 1 3.2

    Business & Industry Factor Weights Education Sector

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    Business & Industry Factor Real Estate Sector

    Business StrengthGovernment

    Network FundRaising CapacityNiche Segment

    Economical

    RisingEconomyInterest

    Rate

    TechnologyNew

    Architecture

    PoliticalLaws

    Regulations

    SocialPreferenceSpending

    Power

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    Factor Weight Rank Weighted Score

    Market Attractiveness

    Demand 0.35 4 1.4

    Home Loan 0.1 4 0.4

    Availability of Land 0.15 4 0.6

    Connectivity 0.1 4 0.4

    Cost0.05 3 0.15

    Government Regulations 0.25 5 1.25

    Total 1 4.2

    Business Strength

    Fund Available 0.20 5 1.00

    Political Network 0.30 5 1.50

    Operational Efficiency 0.20 4 0.80

    Sector Competition 0.15 4 0.60

    Marketing 0.15 4 0.60

    Total 1 4.5

    Business & Industry Factor Weights Real Estate Sector

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    Mckinsey Multi-Factor Matrix

    Industry Attractiveness

    B

    i

    z

    S

    t

    r

    e

    n

    gt

    h

    Philma

    EduBPO

    High Medium Low

    High

    (3.33 5)

    Medium

    (1.66 3.33

    Low(0-1.66)

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    What should be the next step for Phinma ?

    Next Step ?

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    1) Invest in energy sector

    (S1,O2, O4)

    2) Invest in BPO Sector (S2, O1,O3)

    3) Invest in hotel management

    (S2, O5)

    4) Invest in real estate business

    (S4, O2)

    1) Status Quo on hotelretail construction

    (S2, S3, T4)

    1) Status Quo on roofingindustry ( W4, T1, T4)

    Strengths1) Investment Acumen

    2) Operational Skills

    3) International Collaboration

    4) Strong government relations

    5) Diversified energy business

    Weakness1) Globally non-diversification

    2) Decentralized Management

    3) Limited funds

    4) Historic problem with high debt-

    equity ratio

    Opportunity1) Weak Exchange Rate

    2) Growing Economy

    3) High English Quotient

    4) Energy supply less than

    demand

    5) Increasing hotel investment

    Threat1) Increasing Financial

    Leverage

    2) Global supply/market

    3) Raw material availability

    4) Less profit in hotel building

    Strategic Options

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    Industry Attractiveness

    B

    iz

    S

    t

    r

    e

    n

    g

    t

    h

    Philma

    EduBPO

    High Medium Low

    High

    Medium

    Low

    Biz & Economic

    Considerations

    Growing Philippines

    Economy Energy Supply less

    than energy demand

    Diversified energy

    business

    . Invest in Trans Asia

    Future Investment Strategy for Philma

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    Industry Attractiveness

    B

    iz

    S

    t

    r

    e

    n

    g

    t

    h

    Philma

    EduBPO

    High Medium Low

    High

    Medium

    Low

    Biz & Economic

    Considerations

    Growing Philippines

    Economy High English Quotient

    Excellent Operational

    Skills

    . Invest in BPO

    Future Investment Strategy for Philma

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    Industry Attractiveness

    B

    iz

    S

    t

    r

    e

    n

    g

    t

    h

    Philma

    Edu

    BPO

    High Medium Low

    High

    Medium

    Low

    Biz & Economic

    Considerations

    Excellent Operational

    Skills Increasing hotel

    investment

    Declining profit in

    hotel construction

    Less risky operational

    business

    . Invest in Hotel

    Management but the

    money generated from

    business only not in hotel

    construction

    Future Investment Strategy for Philma

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    Industry Attractiveness

    B

    iz

    S

    t

    r

    e

    n

    g

    t

    h

    Philma

    Edu

    BPO

    High Medium Low

    High

    Medium

    Low

    Biz & Economic

    Considerations

    Growing Economy

    Align with PhilmaPhilosophy

    Economies of scale

    Operational excellence

    . Invest in Education

    Future Investment Strategy for Philma

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    Our Framework ?

    Next Step ?

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    DEMAND/SUPPLYRISK

    FINANCIALLEVERAGE

    RAW MATERIALVOLATILITY

    NEGATIVEDOLLAR

    EXPOSURE

    Framework 1 Risk Profile ?

    OPERATIONALRISK

    TECHNOLOGICALSHIFT

    INTERNATIONALEXPOSURE

    DOLLAREXPOSURE

    BPO TA Energy

    /

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    BPO

    Philma

    Edu

    Risk

    R

    ew

    a

    r

    d

    Framework 1 Risk/Reward Profile

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    TA ENERGY BPO

    EDUCATION

    TOURISM

    ROOFING

    REALESTATE

    Framework 1 R-Square Balancer

    k bl i h i i f k

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    1) They are very objective in nature

    2) They do not consider the inter-relationamong SBUs

    Framework 2 Problems with existing frameworks

    k 2 f li C l i l

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    Framework 2 Portfolio Correlation Balancer

    Correlation (r)

    T

    o

    ta

    l

    S

    t

    r

    e

    n

    g

    t

    h

    High (2) Medium ( 1) Low (0)

    High

    (11-25)

    Medium

    (2.75 11)

    Low

    (1-2.75)

    Step 1: Multiply Biz

    Strength & Industry

    Attractiveness Weight

    Step 2: Find multiple

    correlation between theSBUs. Add 1 to r i.e.

    make r positive

    Step 3: Map the values on

    graph

    . Now decide

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    Thank You


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