- A constant influx of new data solutions combined with closed or siloed source transactional applications create complexity and challenges when trying to integrate it together to create insights you can act on to improve fan experience, engagement, revenue, and sponsorship relations.
- You are struggling to get buy-in from your business executives for investing in off-field data applications.
Our Advice
Critical Insight
- An effective off-field data architecture can create data-driven digital opportunities and new insights. Equipped with the right data strategy, any sports entertainment organization can create a sustainable sports business, improve fan engagement and sponsorship relations, and achieve business goals.
Impact and Result
- Establish a working group of key stakeholders from the organization to work on this endeavor together and determine what the risks and considerations may be.
- Determine the state of your current data architecture and what data-driven digital opportunities can arise from Info-Tech's off-field reference architecture.
- Build a business case for why an off-field data architecture is important to get buy-in from your business executives.
- Once buy-in is secured, input this off-field architecture into your next data strategy to achieve your business goals.
Off-Field Data Reference Architecture Guide
Make the case for an off-field data reference architecture.
Table of Contents
Off-Field Data Reference Architecture Guide
Make the case for an off-field data reference architecture.
EXECUTIVE BRIEF
Analyst Perspective
Centralize your fan data with the right off-field data architecture.
Sports entertainment organizations are struggling to simplify their siloed data to create the 360-degree view of the fan and effectively use it to improve their business. Thirty percent of sports organizations report that only one person has the appropriate knowledge of data and 25% say that no one has any expertise in the area (Fan Engagement Consultancy, 2021).
Sports entertainment organizations are new to collecting fan data to meet business goals, where 61% of all sports entertainment organizations do not use data for their overall strategy. Additionally, only 51% of teams collect data in a centralized place, meaning that many teams still work with separate data sources, which limits their marketing abilities to understand fans (Fan Engagement Consultancy, 2021).
Through the right off-field data, architecture teams can enable their business strategies, where they can discover data-driven digital opportunities and relieve the pains of monetizing their fan data while maximizing revenues, sponsorships, enhancing fan engagement, and guiding fan behaviors.
Elizabeth Silva
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Executive Summary
Your Challenge
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Common Obstacles
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Info-Tech’s Approach
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Info-Tech Overarching Insight
An effective off-field data architecture can create data-driven digital opportunities and new insights. Equipped with the right data strategy, any sports entertainment organization can create a sustainable sports business and improve fan engagement and sponsorship relations, all while achieving business goals.
The meaning of off-field vs. on-field
Off-Field vs. On-Field Analytics
Off-Field Analytics
Deals with the business side of sports. Off-field analytics focus on helping a sports organization surface patterns and insight through data that would help increase ticket and merchandise sales, improve the fan experience, increase engagement, and more. Off-field analytics is what creates an off-field data architecture and makes for a fan-driven data strategy. |
On-Field Analytics
Deals with improving the on-field performance of teams and players by collecting player statistics and patterns. On-field analytics is what makes for a player development or team development strategy. |
“Off-field data and analytics is the ability to transform data into capabilities that transform the experience for fans.” (Rajiv Maheswaran, CEO, Second Spectrum) |
An off-field data architecture and fan-driven data strategy is important
An off-field data architecture should be the core of any fan-driven data strategy. This type of strategy should be a vehicle for ensuring data is poised to support your organization’s strategic objectives and opportunities.
“Data-driven organizations are not only 23 times more likely to acquire customers, but they're also 6 times more likely to retain customers and 19 times more likely to be profitable." (McKinsey Global Institute via Tappit, n.d) |
Other benefits that were found from using data are:
“Data itself isn’t valuable, it’s the ability to use data to create content that fans want." (Rajiv Maheswaran, CEO, Second Spectrum) |
Use fan data to differentiate and remain competitive in today’s digital economy
Off-field data in sports can create many benefits for organizations, such as sustainable revenue streams, robust fan intelligence to improve fan experience and engagement, and improved sponsorship relations. Having effective off-field data to understand fans better has so many more benefits than it may seem, as being different and remaining competitive in today's sports market is difficult to do without it.
Revenue Reliant on Team Performance Is Not SustainableData and analytics have been used for improving team performance, although relying on team performance is not a sustainable choice as revenue is linked to performance. If a team is performing well, it generates revenue. If a team performs poorly, sources of revenue such as ticket and merchandise sales will drop. Sports teams must create new revenue streams to be sustainable. By collecting data through multiple different sources, the 360-degree view of the fan will give sports teams a deeper understanding of their fans, to help them generate revenues and sustain relationships beyond team performance. Understanding fans better is good for the long-term health of the business, as it allows for prediction of fan engagement behaviors and actions. (Source: CIO, 2017) |
Fan Intelligence BenefitsUnderstanding fans and their fan engagement behaviors is a key aspect of fan engagement, which every sports organization is looking to achieve. Having the right data allows sports organizations to target and personalize offerings to maximize the potential of monetizing their assets. Fan-driven data decision making is crucial when it comes to understanding your fan base, as understanding the data to further engage fans in order to refine and improve future activations is important. (Source: Sportcal, 2020) |
Sponsorship BenefitsData and measurability can provide wins for sports team, fans, and sponsors. With data and analytics, it’s now possible for sports organizations to measure the impacts of the sponsorship opportunities placed within their venues in aggregated ways. The three wins:
(Source: Sportcal, 2020) |
An off-field data architecture needs strategic drivers
Your fan-driven data strategy needs to align with your organizational strategy, such as a digital business strategy.
Privacy, Risk & Compliance
As a sports organization, you are more than likely operating as a privately held organization that is owned by a larger organization/holding company and mandated to meet certain regulatory requirements from the league your team belongs to and the area you are located in. Risk mitigation is also another driver for formalizing or optimizing your current data architecture. Your current practices and environment may be outdated, leading to potential exposure to risk. |
Fan Engagement/Service Excellence
As a sports organization, your current focus is on improving fan/customer experience, engagement, and striving for service excellence, whether by offering highly tailored products or services, upselling, cross-selling, sending targeted communication, or building fan/customer loyalty. Stakeholders within the sports industry are fans, internal customers, sport spectators, sponsors/partners, media participants, leagues/clubs, host community, and governing bodies. |
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Operational Excellence
As a sports organization, you’re focused on optimizing your operational excellence and efficiency to ensure you are delivering high-quality products or services in the most cost-effective manner. This may mean your focus is on optimizing your ordering, production, and fulfillment processes for the venue. Or you may be working on the efficiency of your operations, making them leaner, reducing waste, and optimizing resource utilization, all of which can contribute to lower costs and higher profit margins. |
Product & Service Innovations
To maintain or establish your competitive edge, your sports organization is looking to become innovative in the product(s) and service(s) that you offer. As an organization, you’re seeking to differentiate through product or service innovation. You’re inventing and adapting to keep pace and/or get ahead of changing fan and stakeholder preferences by understanding purchasing habits, consumption, behaviors, more varied and larger data sets, IoT, and other disruptive forces. |
Consider a comprehensive fan-driven data strategy to unlock value
"Data can be considered to be one of the most valuable commodities in today’s world - more so than gold, oil and bitcoin. It underpins most business and performance operations; and the organizations that are able to maximize its use are the most successful.” (David Ingham, Client Partner of Media, Entertainment & Sport at Cognizant via Techradar, 2021) |
"The awareness, collection and usage of data needs to be seeded and cultivated from the top of the organization as a priority for it to take root within sports entities so they can pave the way for inclusion as a source of insight in decision making that will future-proof the organization's operating model." (Global Sports Innovation Center, Powered by Microsoft, 2020)
In the major leagues, 75-85% of single game buyers don’t come back every single year, where teams need to be investing in effective tools to better understand fans through practical insights. (StellarAlgo, 2021) "After the first lockdown, there was a short pause in CDP-projects within the sports industry. However, the need for a digital transformation became globally evident to most sports organizations, resulting in tremendous growth in CDP-projects. The CDP is finally perceived as a backbone to digital transformation & fan engagement.“ (Peter Kekesi, Data Talks, 2021 interview) |
Many opportunities are revealed for sports entertainment organizations once they start using data
The opportunities data can help your sports entertainment organization leverage:
HIGHER QUALITY SERVICESThe strategic use of data can enable sports entertainment organizations to provide higher quality services. |
FAN INTELLIGENCEThe strategic use of data can provide sports entertainment organizations with a wealth of knowledge on fans and you will be able to not just know the fan behaviors but also guide and predict what they may be to enhance marketing, fan engagement, and revenues. |
FAN-DRIVEN DATA DECISIONSThe insights that can be found through the strategic use of data can provide intuitive information around fans and sponsorships so fan-driven data decisions can be made. |
IMPROVE SPONSORSHIP RELATIONSMake better evidence-informed decisions and improve understanding around the impact of sponsorships and fan engagement, so funds and sponsorship can be directed where they are most likely to deliver the best results. |
DATA MONETIZATIONCreate actionable decisions around your fan data so you will be able to monetize it. |
BECOME A PROVEN BUSINESS PARTNERIf you have any business strategy, such as a digital business strategy, in place where data and integration is highly important, you will be able to effectively align with the business and be a proven business partner rather than just a business enabler. |
Align and enable your organizations goals cascade with an off-field data architecture
An off-field data architecture is what makes an organization’s goals actionable. Ensuring that your off-field data architecture will have the right components to support organizational goals will allow for better buy-in from business executives.
Example:
Info-Tech’s methodology for an off-field data architecture
1. Define a Working Group and the Current State | 2. Discover Data-Driven Digital Opportunities | 3. Build Your Case for an Off-Field Data Architecture | |
Phase Steps |
1.1 Build an Accurate Depiction of the Business 1.2 Information Assessment |
2.1 Off-Field Data Reference Architecture |
3.1 Construct the Business Case 3.2 Determine the Business Case Impact to the Organization |
Phase Outcomes | Establish a working group to provide direction and clarity on an off-field data architecture, such as the associated risks with this initiative, and comprehend the current data management maturity. | Understand what an off-field data architecture is and discover what data-driven digital opportunities exist for value creation.
Read through conceptual and logical data model examples for value creation. |
Develop vision and mission statements and guiding principles. Identify business drivers and high-value use cases to then prioritize for making the case to business executives. Determine the impact of this initiative by enhancing the organization’s existing goals cascade/business strategy, calculating metrics, and designing a business case profile. |
Blueprint Deliverable
Each step of this blueprint is accompanied by supporting deliverables to help you accomplish your goals:Key deliverable:
Off-Field Data Reference Architecture Business Case Presentation Template
Input the activities and outputs of this blueprint into the Presentation Template to easily present your business case to executives.
Info-Tech offers various levels of support to best suit your needs
DIY Toolkit |
Guided Implementation |
Workshop |
Consulting |
"Our team has already made this critical project a priority, and we have the time and capability, but some guidance along the way would be helpful." | "Our team knows that we need to fix a process, but we need assistance to determine where to focus. Some check-ins along the way would help keep us on track." | "We need to hit the ground running and get this project kicked off immediately. Our team has the ability to take this over once we get a framework and strategy in place." | "Our team does not have the time or the knowledge to take this project on. We need assistance through the entirety of this project." |
Diagnostics and consistent frameworks used throughout all four options |
Guided Implementation
A Guided Implementation (GI) is a series of calls with an Info-Tech analyst to help implement our best practices in your organization.
A typical GI is 8 to 12 calls over the course of 4 to 6 months.
What does a typical GI on this topic look like?
Phase 1 |
Phase 2 |
Phase 3 |
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Call #1: Develop working group; discuss and assess current data maturity. | Call #2: Walk through the off-field data reference architecture, and exemplar data models for value creation. | Call #4: Create vision and mission statements.
Call #5: Determine guiding principles. |
Call #6: Build high-value use cases.
Call #7: Conduct a MoSCoW analysis. |
Call #8: Map the data architecture components to the goals cascade.
Call #9: Determine metrics for measuring success. Call #10: Build business case profile. |
Off-Field Data Reference Architecture Guide
Phase 1
Define a Working Group and the Current State
Phase 1 1.1 Build an Accurate Depiction of the Business 1.2 Document Your Current Data Management Maturity 1.3 Assess How Well Information Supports Business Capabilities | Phase 2 2.1 Off-Field Data Reference Architecture | Phase 3 3.1 Construct the Business Case 3.2 Determine the Business Case Impact to the Organization |
This phase will walk you through the following activities:
- Identify and assemble key stakeholders
- Document your current data management maturity
- Assess how well information supports business capabilities
This phase involves the following participants:
- CIO
- CEO
- CFO
- CMO
- CDO
- Other stakeholders as appropriate
Step 1.1
Build an Accurate Depiction of the Business
Activities
- 1.1.1 Identify and Assemble Key Stakeholders
This step will walk you through the following activities:
- Identify and assemble key stakeholders
This step involves the following participants:
- CIO
- CEO
- CFO
- CMO
- CDO
- Other stakeholders as appropriate
Outcomes of this step
- Establish a working group to provide direction and clarity on creating a business case for an off-field data architecture
- Understand the risks associated with this initiative
Step 1.1 | Step 1.2 |
The challenges associated with fan data
“Big data is exploding. But many companies are still struggling to simplify how to make their data actionable.” (CPA Canada, 2019) |
Signals of Concern37% 32% 10% 29% (Source: Tappit, n.d.) |
Leverage your working group
Your working group should:
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A working group should be comprised of:
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Info-Tech Insight
Your head of marketing should be a key stakeholder within your working group as the marketing team are those who will execute any of the insights found through data and analytics with their creative marketing abilities.