The human body needs organic compounds to grow and thrive. These organic compounds are known as vitamins, and they significantly impact your health and well-being. For example, low vitamin D levels can cause fatigue and muscle pain. Vitamin B12 deficiency can cause poor balance and memory loss, while vitamin E deficiency can cause nerve damage.
Ensuring you consume the appropriate amount of each vitamin is crucial and challenging. Vitamin manufacturers make getting enough of each of the 13 essential vitamins easier. Let’s explore how data analysis impacts vitamin manufacturing and what type of data analysis benefits the vitamin industry.
How does data analysis work?
Data analytics involves using powerful computers to gather and process data. Data mining software extracts data from various sources. This software also processes data, looking for trends to produce helpful information. With data integration, data that was siloed is pooled together. This data is copied or physically moved and combined with data from other sources.
Data analysts may opt to use data virtualization software instead of data integration software. With data virtualization software, the data remains at the source, but the software allows it to be processed with data from other sources. The data can be manipulated and analyzed, producing insights that inform business operations. For example, applying predictive analytics software enables analysts to project future product demand by analyzing trends.
Businesses benefit from using data virtualization because it expedites the analytics process and can be used to generate real-time results without excluding data sources. There are examples of data virtualization applications in multiple industries. Energy companies use data virtualization to anticipate demand for energy and project how much energy can be supplied from renewable energy sources. They can also use this software to anticipate consumer demand for renewable energy.
Medical equipment manufacturers use data virtualization to avoid spending capital developing equipment that won’t be in demand. Instead, they can allocate funds to produce in-demand equipment, ensuring they can generate profits. Medical equipment manufacturers, computer manufacturers, and energy production companies use data virtualization software to evaluate new technology and determine the most cost-effective ways to secure resources.
What data analysis benefits the vitamin industry?
Vitamin manufacturers supply custom gummy vitamins to supplement companies. Using expert manufacturers is an excellent way to launch and sustain a supplement company. You don’t have to secure equipment, learn about applicable regulations, and acquire Food and Drug Administration (FDA) good manufacturing practices (GMP) registration. Instead, you can launch your business with a supplier who’s done the leg work, enabling you to move straight to product development.
Supplement companies benefit from analyzing data before launching their company. Data analysis is an effective way to establish population trends. For example, the aging population impacts vitamin and supplement manufacturing because elderly persons have specific health risks and may need more vitamin D to maintain bone density. If population trends show fewer people have children, it means decreased demand for children’s vitamins. Racial demographics also impact demand. For example, African Americans and Hispanics have notably higher vitamin D deficiency rates. Consequently, supplement companies selling to communities with higher African American and Hispanic populations may have a higher demand for vitamin D supplements.
Vitamin manufacturers use data analysis to find resources and anticipate supply shortages. Suppose a cargo ship’s stuck in the Panama Canal and blocking shipments. Manufacturers can use data virtualization and predictive analytics software to determine how that will affect their shipments and production schedules. They can evaluate other potential sources, enabling them to secure supplies and maintain operations. If they have to slow operations, they can encourage staff to take vacation days to ensure employees can work when supplies arrive.
Data mining, data virtualization, and predictive analytics software enable industries to produce information that informs their business decisions. Vitamin manufacturers analyze data concerning population trends and supply shortages to help them project future demand and avoid production delays.