IBM at the Crossroads
Team 3- “Bad Assets”: Annie Purcell, Evan Augello,
Richard DiBlasio, Eliot Lichtenberg, Klaudia Szczerba
Agenda
● Issues to be Analyzed
● Background
● Internal Analysis
● External Analysis
● Alternative Solutions
● Our Recommendations
● Implementation Process
● Expected Results
● Questions
Issues to be Analyzed
Relevant Background
● History of reacting to change slowly, but eventually always reinvents itself
● Began as hardware company → Emphasis on consulting and software → Cloud
Computing and Data Analytics
● Since 2009 international sales have decreased, mainly from Europe and the
Middle East
● October 2014 was 10th consecutive quarter of flat/declining sales
Offerings and Market Segments
Since 2002- Hardware, Software, Services Revenue by Geographic Segment- 2014
Tangible Resources:
● Buildings in 170
Countries
● Cloud, Big Data &
Watson
Intangible Resources:
● Human Capital
● R&D/Innovation
● Momentum within BD&A
and Cloud Computing
markets
Core Capabilities:
● Cognitive Computing
● Security Reputation
● Longevity of Brand
Internal Analysis
Review of Financials
2010
(Numbers in Millions)
PPE, Net: $14,097
Long-Term Debt: $21,846
Total Liabilities: $90,280
Total Stockholder’s Equity: $23,046
2014
(Numbers in Millions)
PPE, Net: $10,771
Long-Term Debt: $35,074
Total Liabilities: $105,518
Total Stockholder’s Equity: $11,868
Stock Price
External Analysis
Alternative Solutions
1
‱ Focus on Big Data Analytics and becoming first mover in AI (Watson)
‱ Supported by Strategic Alliances and Development of B to C Operations
‱ Rebuild lost revenues from Government contracts
3
‱ Continue the Firm/CEO’s approach of “Doubling Down” on Cloud
Computing
4
‱ Develop Hybrid Cloud to compete with Amazon’s offerings
2
Recommendation
● Expand BD&A through the use of Watson’s cognitive computing
○ Marketing campaign to inform public of critical impact of big data
○ First Mover in AI- Watson
○ Develop B → C Operations to increase revenues
○ Strategic Alliances
● Still must maintain cloud computing & other sectors of business
● Continue to look for strategic acquisitions to gain new technology
● All on a global basis
Phase 1: Develop B → C Operations
● Partnerships to develop B → C operations
○ Example: Apple- Siri & Watson
○ Partners both on domestic and global scale
● Reach consumer market to increase
revenues & compete more effectively
● Will increase brand awareness & inform
the public of the power of Analytics
● Achieve through developing BD&A
Strategic Unit
Phase 2: Strategic Alliances
● Partner with Universities to increase familiarity with platforms
○ Both domestic universities & abroad
○ Goal of 50 Universities by 2020
● Create training program for BD&A
● Will also increase brand awareness and enhance image with younger demographic
Phase 3: Marketing Campaign/Brand Enhancement
● Launch global marketing campaign
around Watson
○ Transform image as old company to
become viewed as innovative brand
○ Enhance brand understanding- What does
IBM do?
● University partnerships and new
presence in consumer markets as
previously mentioned will enhance
campaigns success
Implementation Timeline
Expected Results
Questions & Comments

Appendix
● Big Data and analytics. Our analytics business grew
7 percent to $17 billion in 2014. We are driving growth by helping our clients
integrate all data sources — structured and unstructured — and apply a range
of analytics — descriptive, predictive and prescriptive. We combine
this capability with deep knowledge of industries and professions. Our
analytics portfolio draws upon more than 30 acquisitions and includes nine
Analytics Solutions Centers with an ecosystem of more than 6,000 business
partners. Further, we are creating the next stage of Big Data and analytics
with cognitive computing.

IBM at the Crossroads

  • 1.
    IBM at theCrossroads Team 3- “Bad Assets”: Annie Purcell, Evan Augello, Richard DiBlasio, Eliot Lichtenberg, Klaudia Szczerba
  • 2.
    Agenda ● Issues tobe Analyzed ● Background ● Internal Analysis ● External Analysis ● Alternative Solutions ● Our Recommendations ● Implementation Process ● Expected Results ● Questions
  • 3.
    Issues to beAnalyzed
  • 4.
    Relevant Background ● Historyof reacting to change slowly, but eventually always reinvents itself ● Began as hardware company → Emphasis on consulting and software → Cloud Computing and Data Analytics ● Since 2009 international sales have decreased, mainly from Europe and the Middle East ● October 2014 was 10th consecutive quarter of flat/declining sales
  • 5.
    Offerings and MarketSegments Since 2002- Hardware, Software, Services Revenue by Geographic Segment- 2014
  • 6.
    Tangible Resources: ● Buildingsin 170 Countries ● Cloud, Big Data & Watson Intangible Resources: ● Human Capital ● R&D/Innovation ● Momentum within BD&A and Cloud Computing markets Core Capabilities: ● Cognitive Computing ● Security Reputation ● Longevity of Brand Internal Analysis
  • 7.
    Review of Financials 2010 (Numbersin Millions) PPE, Net: $14,097 Long-Term Debt: $21,846 Total Liabilities: $90,280 Total Stockholder’s Equity: $23,046 2014 (Numbers in Millions) PPE, Net: $10,771 Long-Term Debt: $35,074 Total Liabilities: $105,518 Total Stockholder’s Equity: $11,868
  • 8.
  • 9.
  • 10.
    Alternative Solutions 1 ‱ Focuson Big Data Analytics and becoming first mover in AI (Watson) ‱ Supported by Strategic Alliances and Development of B to C Operations ‱ Rebuild lost revenues from Government contracts 3 ‱ Continue the Firm/CEO’s approach of “Doubling Down” on Cloud Computing 4 ‱ Develop Hybrid Cloud to compete with Amazon’s offerings 2
  • 11.
    Recommendation ● Expand BD&Athrough the use of Watson’s cognitive computing ○ Marketing campaign to inform public of critical impact of big data ○ First Mover in AI- Watson ○ Develop B → C Operations to increase revenues ○ Strategic Alliances ● Still must maintain cloud computing & other sectors of business ● Continue to look for strategic acquisitions to gain new technology ● All on a global basis
  • 12.
    Phase 1: DevelopB → C Operations ● Partnerships to develop B → C operations ○ Example: Apple- Siri & Watson ○ Partners both on domestic and global scale ● Reach consumer market to increase revenues & compete more effectively ● Will increase brand awareness & inform the public of the power of Analytics ● Achieve through developing BD&A Strategic Unit
  • 13.
    Phase 2: StrategicAlliances ● Partner with Universities to increase familiarity with platforms ○ Both domestic universities & abroad ○ Goal of 50 Universities by 2020 ● Create training program for BD&A ● Will also increase brand awareness and enhance image with younger demographic
  • 14.
    Phase 3: MarketingCampaign/Brand Enhancement ● Launch global marketing campaign around Watson ○ Transform image as old company to become viewed as innovative brand ○ Enhance brand understanding- What does IBM do? ● University partnerships and new presence in consumer markets as previously mentioned will enhance campaigns success
  • 15.
  • 16.
  • 17.
  • 18.
    Appendix ● Big Dataand analytics. Our analytics business grew 7 percent to $17 billion in 2014. We are driving growth by helping our clients integrate all data sources — structured and unstructured — and apply a range of analytics — descriptive, predictive and prescriptive. We combine this capability with deep knowledge of industries and professions. Our analytics portfolio draws upon more than 30 acquisitions and includes nine Analytics Solutions Centers with an ecosystem of more than 6,000 business partners. Further, we are creating the next stage of Big Data and analytics with cognitive computing.