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Harvard Case - Bloomberg Sports

"Bloomberg Sports" Harvard business case study is written by Jeremy Dann. It deals with the challenges in the field of Entrepreneurship. The case study is 18 page(s) long and it was first published on : Jul 15, 2014

At Fern Fort University, we recommend that Bloomberg Sports pursue a multi-pronged growth strategy focused on leveraging its existing data and analytics capabilities to expand into new markets and product offerings. This strategy should prioritize strategic alliances with sports organizations and media companies, product diversification into adjacent markets like fantasy sports and esports, and global expansion into emerging markets with high growth potential.

2. Background

Bloomberg Sports, a subsidiary of Bloomberg LP, provides data and analytics services to the sports industry. The company faces a competitive landscape with established players like ESPN and Stats LLC. Bloomberg Sports seeks to differentiate itself by offering a comprehensive suite of data, analytics, and technology solutions tailored to the specific needs of professional sports teams, leagues, and media companies.

The case study focuses on Bloomberg Sports? efforts to expand its reach and market share in the face of increasing competition. The company is considering various strategic options, including mergers and acquisitions, product diversification, and international expansion.

3. Analysis of the Case Study

Competitive Analysis:

  • Porter?s Five Forces:
    • Threat of New Entrants: High, as the sports data and analytics market is relatively easy to enter with the availability of open-source data and technology.
    • Bargaining Power of Buyers: Moderate, as sports organizations have multiple providers to choose from, but Bloomberg Sports can offer unique value propositions.
    • Bargaining Power of Suppliers: Low, as the data and analytics used by Bloomberg Sports are readily available from various sources.
    • Threat of Substitutes: Moderate, as alternative data sources and analytics tools are available, but Bloomberg Sports? comprehensive approach can provide a competitive edge.
    • Competitive Rivalry: High, as the market is fragmented with numerous players vying for market share.

SWOT Analysis:

  • Strengths:
    • Strong brand recognition and reputation associated with Bloomberg LP.
    • Extensive data and analytics capabilities, including real-time data collection and processing.
    • Sophisticated technology platform and infrastructure.
    • Experienced team with expertise in sports and financial markets.
  • Weaknesses:
    • Relatively small market share compared to established competitors.
    • Limited brand awareness in the sports industry.
    • Potential for high development costs for new products and services.
  • Opportunities:
    • Growing demand for data and analytics in the sports industry.
    • Expansion into new markets like fantasy sports and esports.
    • Globalization opportunities in emerging markets.
  • Threats:
    • Intense competition from established players.
    • Technological advancements that could disrupt the industry.
    • Economic downturns that could impact sports spending.

Value Chain Analysis:

Bloomberg Sports? value chain consists of:

  • Inbound Logistics: Sourcing data from various sources, including sports organizations, media companies, and public databases.
  • Operations: Processing and analyzing data, developing analytics tools and models, and creating data visualizations.
  • Outbound Logistics: Delivering data and analytics solutions to clients through various channels, including online platforms, APIs, and consulting services.
  • Marketing and Sales: Promoting its services to sports teams, leagues, media companies, and other stakeholders.
  • Customer Service: Providing ongoing support and technical assistance to clients.

Business Model Innovation:

Bloomberg Sports can leverage its existing data and analytics capabilities to develop innovative business models, such as:

  • Subscription-based services: Offering tiered subscription plans based on data access and features.
  • Data-as-a-Service: Providing real-time data feeds through APIs for integration with third-party applications.
  • Consulting services: Offering customized data analysis and insights to help clients make informed decisions.

4. Recommendations

1. Strategic Alliances:

  • Target: Partner with major sports leagues, teams, and media companies to offer co-branded products and services.
  • Benefits: Expand market reach, enhance brand credibility, and access valuable data and insights.
  • Example: Partner with the NBA to develop a joint data analytics platform for teams and media outlets.

2. Product Diversification:

  • Target: Expand into adjacent markets like fantasy sports and esports, leveraging existing data and analytics expertise.
  • Benefits: Capture new customer segments and create new revenue streams.
  • Example: Develop a fantasy sports platform powered by Bloomberg Sports? data and analytics.

3. Global Expansion:

  • Target: Focus on emerging markets with high growth potential in sports, such as China, India, and Brazil.
  • Benefits: Access new customer segments and tap into the global sports market.
  • Example: Establish a local presence in China by partnering with a Chinese sports media company.

5. Basis of Recommendations

1. Core Competencies and Consistency with Mission: These recommendations align with Bloomberg Sports? core competencies in data and analytics, and its mission to provide valuable insights to the sports industry.

2. External Customers and Internal Clients: The recommendations address the needs of both external customers (sports teams, leagues, media companies) and internal clients (Bloomberg LP).

3. Competitors: These recommendations aim to differentiate Bloomberg Sports from competitors by leveraging its unique capabilities and expanding into new markets.

4. Attractiveness: The recommendations are expected to generate significant revenue growth and improve profitability.

Assumptions:

  • The global sports market will continue to grow.
  • Demand for data and analytics in sports will increase.
  • Bloomberg Sports can successfully develop and market new products and services.

6. Conclusion

Bloomberg Sports has a unique opportunity to become a leading provider of data and analytics services to the sports industry. By leveraging its existing capabilities and pursuing a strategic growth plan, the company can achieve significant market share gains and create long-term value for its stakeholders.

7. Discussion

Alternatives:

  • Mergers and Acquisitions: Acquiring existing companies in the sports data and analytics market could provide faster market entry, but may be expensive and require significant integration efforts.
  • Organic Growth: Focusing solely on organic growth through internal development could be a slower and more resource-intensive approach.

Risks:

  • Competition: Intense competition from established players could hinder market share gains.
  • Technological Disruption: New technologies could disrupt the industry and render existing data and analytics solutions obsolete.
  • Economic Downturn: A global economic downturn could impact sports spending and reduce demand for data and analytics services.

Key Assumptions:

  • The global sports market will continue to grow.
  • Demand for data and analytics in sports will increase.
  • Bloomberg Sports can successfully develop and market new products and services.

8. Next Steps

Timeline:

  • Year 1: Develop strategic alliances with key sports organizations and media companies.
  • Year 2: Launch new product offerings in fantasy sports and esports.
  • Year 3: Expand into key emerging markets, starting with China.

Key Milestones:

  • Secure strategic partnerships.
  • Develop and launch new products and services.
  • Establish a local presence in emerging markets.
  • Monitor market trends and competitor activity.
  • Continuously improve data and analytics capabilities.

By implementing these recommendations, Bloomberg Sports can position itself for long-term success in the rapidly evolving sports data and analytics market.

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Case Description

Two "intrapreneurs" champion an effort to leverage Bloomberg's analytical and technological capabilities in sports by servicing professional franchises and fantasy sports participants. They must determine if they will move into new market segments and geographies where wagering functionality might be critical--testing the limits of the parent company's values and brand.

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