Ted is a Founder and Managing Partner of ClearPoint Strategy and leads the sales and marketing teams.
A KPI dashboard can tell the story of an area in your company.
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A key performance indicator (KPI) dashboard is a single page or single screen view of multiple charts that tell the story of the subject matter you’re building your dashboard for.
Note: KPI dashboards and scorecards can often be confused with one another. (This article further explains the differences between the two.)
A typical KPI dashboard template has between five and 15 charts on it relating to a particular subject. For example’s sake, we’ll focus on “safety.” The safety dashboard might live on a factory floor and show the number of days since the company last had an incident. Of the KPI dashboard examples above, the charts for the safety dashboard might include:
The key to creating a stellar KPI dashboard is to tell the story as clearly as possible. Also:
Beyond establishing a KPI dashboard definition, you need to understand the type of dashboard you’re building.
Is it a dashboard to share information or drive behavior?
Secondly, you need to determine the audience for the dashboard.
Your KPIs should be tailored to what’s relevant for that audience.
Your data will likely have two axis, one for time and the other for the element you are tracking. If it is easier for you, put each measure on a different worksheet.
Excel recommends charts on the “Insert” tab of the ribbon at the top of Excel.
You can do this for each of the charts you’re building for your KPI dashboard in Excel. The new sheet where you place these charts will become your dashboard.
Your big charts should be the most important and your small charts should be the least important. To do so, simply grab the corner of each chart.
If your KPI dashboard will be displayed on a television monitor with a particular resolution, you need to ensure it won’t be grainy. If it’s being displayed on a computer monitor in portrait mode, you’ll want to rearrange the dashboard to accommodate.
Excel is a great tool, and we recommend using it for standalone projects or as a place to experiment when your organization is just starting to build its strategic reports. But once you know what you want to measure and need to report on repeated basis (monthly or quarterly) with a solid management reporting process in place, Excel can present some serious challenges.
You’ll know you’ve outgrown Excel when these issues become nightmares:
These are just the top five challenges we’ve seen customers face with Excel. You can read more in this article.
While Excel can be good or bad depending on your organization’s stage of growth, know that you always have options. ClearPoint’s strategic planning and reporting software gives you a powerful alternative when you need a repeatable process, automated tools, and real-time data. Some of the top benefits of using ClearPoint for your reporting and KPI dashboards include:
Remember, dashboards can be very beneficial for your organization. Define your dashboard’s purpose and audience, pick the KPIs, and create a story that helps drive the intended behavior in your organization at a budget that makes sense for you.
If you’ve outgrown Excel or are in need of a more robust solution for your KPI dashboards, consider ClearPoint. Our strategy software will save you time, eliminate errors, and consolidate all reporting efforts within a single system. See it live to better understand how ClearPoint can work for you.
The major problems in healthcare include:
- High Costs: The rising cost of medical services, treatments, and medications.- Access to Care: Limited access to healthcare services in rural and underserved areas.- Chronic Diseases: Increasing prevalence of chronic conditions such as diabetes, heart disease, and obesity.- Workforce Shortages: Shortages of healthcare professionals, including doctors, nurses, and specialists.- Aging Population: The impact of an aging population on healthcare resources and services.- Quality and Safety: Ensuring high-quality care and patient safety across all healthcare settings.
AI can solve various problems in healthcare, including:
- Diagnostics: Improving the accuracy and speed of disease diagnosis through advanced image and data analysis.- Personalized Treatment: Tailoring treatment plans to individual patients based on predictive analytics and patient data.- Operational Efficiency: Streamlining administrative tasks, such as scheduling and billing, to reduce costs and improve efficiency.- Predictive Analytics: Identifying potential health risks and predicting patient outcomes to enhance preventive care.- Drug Discovery: Accelerating the development of new drugs by analyzing vast datasets and identifying potential compounds.
To solve problems in healthcare:
- Implement Technology: Adopt advanced technologies like telemedicine, AI, and electronic health records to improve efficiency and care.- Enhance Workforce Training: Provide ongoing training and development opportunities for healthcare professionals.- Expand Access: Increase access to healthcare services through policy changes, expanded coverage, and mobile clinics.- Focus on Prevention: Emphasize preventive care to reduce the incidence of chronic diseases and improve overall health outcomes.- Engage Stakeholders: Collaborate with patients, healthcare providers, and policymakers to address key issues and develop sustainable solutions.
Ethical problems in healthcare include:
- Patient Privacy: Ensuring the confidentiality and security of patient health information.- Informed Consent: Making sure patients fully understand the risks and benefits of treatments and procedures.- Resource Allocation: Fairly distributing limited healthcare resources and services.- End-of-Life Care: Navigating ethical decisions regarding life-sustaining treatments and palliative care.- Equity: Addressing disparities in healthcare access and treatment based on socioeconomic status, race, and other factors.
Wicked problems in healthcare are complex issues that are difficult to define and solve, often involving multiple stakeholders and interconnected factors. Examples include:
-Healthcare Inequity: Persistent disparities in healthcare access and outcomes across different populations.- Chronic Disease Management: The multifaceted challenge of preventing and managing chronic diseases on a large scale.- Healthcare Financing: Balancing the need for affordable care with sustainable funding models.- Mental Health: Addressing the widespread and deeply rooted issues surrounding mental health care and stigma.- Global Health Crises: Managing responses to global health emergencies, such as pandemics, which require coordinated efforts across borders and sectors.