Leading Strategic Innovation in Companies

Innovation Lab

Thinking Inside the Box: The Paradox of Constraints in Innovation

Innovation is often framed as the ability to “think outside the box,” but the reality is that successful innovation usually comes from working within established constraints. Constraints, rather than hindering creativity, can actually stimulate it. They provide a framework that helps focus efforts and eliminate unrealistic “pie in the sky” options. This focused approach leads to more practical and implementable innovations.

Challenges to Innovation

Innovation often faces several challenges, including:

  1. Identifying the Right Problems: Organizations must understand the core issues they are trying to solve. This requires thorough market research and customer engagement.
  2. Generating and Selecting Ideas: An open idea generation process is essential. Companies should encourage input and evaluate ideas based on feasibility, market potential, and alignment with strategic goals.
  3. Anticipating Innovation Constraints: The most critical aspect of successful innovation is the ability to predict and manage constraints. Conducting comprehensive analyses of potential barriers at all levels can prevent significant problems in advance.

How Constraints Foster Innovation

There are many advantages to constraining innovation efforts.

  1. Sharpening Focus: Constraints force teams to concentrate on what’s truly important. When resources are limited, innovators must prioritize and focus on the most promising ideas. This prevents a scattered approach that often leads to wasted efforts and resources.
  2. Encouraging Creative Problem-Solving: When faced with limitations, teams tend to think more creatively. Constraints push innovators to find novel solutions, often leading to more innovative and efficient outcomes.
  3. Promoting Efficiency: Limited resources encourage teams to be more efficient and resourceful. This can lead to leaner, more cost-effective solutions that might not have been considered otherwise.
  4. Accelerating Decision-Making: Working under deadlines will speed up the decision-making process. This urgency can lead to faster innovation cycles and quicker time to market.
  5. Aligning with Strategic Goals: By setting constraints to align with company objectives, organizations can ensure that innovation efforts remain focused on strategic priorities. This prevents teams from pursuing interesting but strategically irrelevant ideas.

Implementing Constraint-Driven Innovation

When creating a constraint-driven innovation program, you need to follow clear guidelines.

  1. Set Clear Boundaries: Define constraints in terms of budget, time, or scope to guide innovation efforts.
  2. Embrace Budget Innovation: Adopt a mindset of doing more with less, encouraging creative solutions that maximize limited resources.
  3. Create Time Pressure: Use time constraints to drive rapid innovation, similar to hackathons.
  4. Align Constraints with Strategy: Ensure that the constraints you set reflect your organization’s strategic goals and needs.
  5. Encourage Cross-Functional Collaboration: Constraints often require diverse skill sets to overcome, requiring collaboration across departments and groups.

Case Study: Nokia vs. Apple

Nokia’s downfall in the mobile phone market illustrates the pitfalls of unconstrained innovation. Despite investing billions in R&D, Nokia’s lack of focus led to their downfall. In contrast, Apple, with a more constrained and focused strategy, was able to revolutionize the smartphone industry.

Removing Constraints to Innovations

Not all constraints enhance innovation. We must be aware of certain types of constraints that can limit innovation, and look for ways to limit, remove, or work around them.

  • Individual Constraints: Skills, knowledge, and personal biases may limit creativity.
  • Group Constraints: Team dynamics and communication patterns can hinder collaboration.
  • Organizational Constraints: Resource limitations, processes, and existing priorities may restrict innovative efforts.
  • Industry/Market Constraints: Competitive pressures and market trends can influence the direction of innovation.
  • Societal Constraints: Regulatory and ethical considerations that must be addressed for acceptance.
  • Technological Constraints: Limitations of current technologies may impact feasibility.

By focusing on these measurable constraints, organizations can create a structured approach to innovation that is both strategic and effective.

The Six Pillars of Successful Innovation

Once we address the constraints around innovation, we can look to the pillars that lead to success.

  1. Individual Empowerment
    Innovation begins with individuals. Foster a growth mindset. This can be achieved through ongoing education, training, and exposure to diverse perspectives. Encouraging employees to learn new methodologies, technologies, and follow industry trends can spark innovative ideas that benefit the organization.
  2. Supportive Culture
    A company culture that supports innovation is essential. Leaders should create an environment where team members feel safe to propose new ideas. Experimentation should be encouraged, and failures are viewed as learning opportunities. Celebrating both successes and lessons learned fosters a culture of innovation that can lead to breakthrough ideas.
  3. Organizational Structure
    The structure of an organization plays a significant role in its ability to innovate. Companies should design their organizational frameworks to facilitate collaboration and agility. This might involve creating cross-functional teams, adopting agile methodologies, or establishing dedicated innovation hubs. A flexible structure allows for quicker decision-making and responsiveness to new ideas.
  4. Market Value
    For innovation to be successful, it must deliver value to the market. Organizations should engage with customers to understand their needs and pain points. This insight can guide the development of products or services that resonate with the target audience. Innovations should be positioned to solve real problems and enhance the customer experience.
  5. Societal Acceptance
    Innovations must also be accepted by society. This involves ensuring that new ideas align with societal values, ethical standards, and regulatory requirements. Engaging with stakeholders, including community members and policymakers, can help build legitimacy and support for innovative solutions.
  6. Technological Feasibility
    Leveraging existing technologies or developing new ones is crucial for supporting innovation. Organizations should stay informed about technological advancements and explore how they can be applied to enhance products, processes, or services. Embracing technology can streamline operations and create new opportunities for innovation.

Conclusion

Leading strategic innovation is not about escaping constraints; it’s about mastering them. By understanding and creatively working within limitations, organizations can drive meaningful change and create useful, innovative solutions. Embracing a culture of innovation, supported by a clear strategy and alignment with societal needs, will position companies for long-term success in an ever-evolving landscape.

Constraints in innovation are not limitations, but guides for creativity and strategic focus. By embracing constraints, organizations can drive more targeted, efficient, and ultimately successful innovation efforts. Remember, it’s not about having unlimited resources, but about making the most of what you have.

By setting the right boundaries, you can channel your team’s creative energy into innovations that are not just groundbreaking, but also aligned with your strategic goals and market realities.

What is Data Governance in Healthcare?

What is Data Governance?

Data Governance is an organization’s framework to manage data responsibly. It includes all the policies, procedures, and actual business practices that impact the data collected and managed by the organization.

All organizations that have data are responsible for data governance, regardless if they have specific people managing it or not.

Data governance impacts everything from data collection to data integration, data quality, data security, access control and data availability, data/measure definitions, information privacy, reporting (consistency, repeatability, quality), even data decommissioning.

Why is Data Governance important in Healthcare?

The data we collect and use in healthcare is some of the most sensitive and personal information available anywhere. It is therefore even more important that we are exercising the highest levels of care in managing that data, and appropriate data governance is one of the best ways to ensure we are doing this.

Who is responsible for Data Governance in Healthcare?

Although everyone who has access to healthcare data or interacts with patient data has a responsibility to use and safeguard that data appropriately, there are two key parts of data governance that need specific groups of people to take responsibility for them.

Data Owners are responsible for setting the policies around specific types of data, usually related to their area of expertise. For example, the head of Human Resources would normally be the data owner for employee data.

Data Governance Specialists are then responsible for implementing the policies, usually from an IT or an analytics perspective.

When should formal Data Governance be brought into a Healthcare organization?

Ideally, data governance should be considered similar to an audit, compliance, or security role. The earlier a data governance professional can be brought in, the easier it will be find gaps and fix issues. In addition to reducing risks, proper data governance can greatly improve an organization’s data efficiency and effectiveness, in many cases quickly providing a net positive return on investment by speeding up and improving the quality of data used in decision making, and ensuring the quality and repeatability of that data while reducing the amount of work required.

How can you improve Data Governance at your Healthcare organization?

The best and fastest way to start improving data governance at your organization is through a quick assessment of where you are currently on your data governance journey. The following questions do not cover all aspects of data governance, but can help start the assessment process.

  • If you get 0-1 TRUE answers, you should contact your local IT or analytics specialist first, unless you are the IT or analytics specialist – in which case you should contact a data governance consultant for a professional assessment.
  • If you get 2-5 TRUE answers, you would benefit from a professional assessment, and should contact a data governance consultant for more information.
  • If you get 6 or more TRUE answers, your organization has at least a basic data governance program, and I would recommend you reach out to them for more information.

An outside professional assessment is never a bad idea as it can reveal areas for improvement, but a more thorough internal assessment can be done before reaching out.

  1. This is not the first time I’ve heard of data governance, and I know who to talk to at my organization, if I don’t know the answers to the other questions. TRUE/FALSE
  2. We have clearly defined policies around appropriate data access for both individual access AND reporting. TRUE/FALSE/DON’T KNOW
  3. We have a Data Dictionary and/or Data Catalog. TRUE/FALSE/DON’T KNOW
  4. We have policies labeled as Data Governance or Data Governance-related. TRUE/FALSE/DON’T KNOW
  5. We have specific people with Data Governance titles/positions. TRUE/FALSE/DON’T KNOW
  6. We have at least one Data Governance Manager or Director. TRUE/FALSE/DON’T KNOW
  7. We do not have regular problems with inconsistent reports or data. TRUE/FALSE/DON’T KNOW
  8. Certain existing reports require approval to access, but it is easy to get if needed. TRUE/FALSE/DON’T KNOW
  9. It is quick and easy to request and get new reports made. TRUE/FALSE/DON’T KNOW
  10. If I find a mistake in a report or data, it is easy to get it fixed. TRUE/FALSE/DON’T KNOW

Where can you go for more information?

There are several different organizations that provide Data Governance consulting for healthcare organizations, but we are kind of partial to our own. The Forest and Trees provides healthcare data consulting across the full spectrum of data specialties – especially data governance, but also including data strategy, data engineering, analytics development, data analytics and visualization, and data team development and training. For more information, email kthornton@theforestandtrees.com or call (720) 868-5753.