Imagup General Magazine 2024
Data has become such an asset in business and organizations across all industries. It helps you learn where your business is and forecast the future more accurately. Using big data to be precise, you can learn patterns within your industry and market as well as those within various functions such as marketing to grow your business.
However, the main problem has always been structuring and organizing it for better usability. Fortunately, technology has allowed the development of tools that help analyze, identify patterns, problems, and opportunities, and give reports to enable you to make informed decisions.
What is Big Data?
Big data is created when a company collects large amounts of data from many different sources. It can include information about customers, such as their demographics, interests, and spending habits, or it can include information about products, such as how often they’re purchased and sold.
When this information is combined with other data sets, it becomes even more powerful. For example, if a company knows that 80 percent of its customers live in some regions of the country. It can use big data to target those specific regions with advertisements for new products or sales promotions.
Businesses can use big data in several ways, including:
1. Preventive Maintenance and Support
Big data analysis allows companies to identify parts that need replacement or other maintenance issues before they occur. This saves companies money on repairs later down the road.
For instance, an IoT solution for water hauling process management helps companies in the energy sector to improve safety, productivity, and efficiency by effectively monitoring their systems and processes. The system collects data from several sensors installed around the facility, which helps determine when maintenance is needed on specific machines before they break down. This reduces downtime and improves productivity by allowing workers to focus on more critical tasks.
2. Better Operational Efficiency
Big data can make businesses more efficient by improving processes and automating tasks that humans previously performed. Big data enables companies to make better decisions by analyzing large amounts of information and making predictions based on those findings.
When you analyze a large amount of data effectively, you can see areas that need optimization and work on them to reduce time and resource wastage, improving overall efficiency. If you identify repetitive areas that hold up your teams’ man hours, you can eliminate them to boost productivity and effectiveness of service delivery.
Similarly, you may identify areas that have work overload and consider hiring more hands to get the work done quicker and reduce backlogs that can adversely affect customer experience.
3. Optimizing Supply Chain
Supply chains always need better visibility into demand, enabling more efficient planning, scheduling, and delivery of products. This can help you in reducing waste and costs. Supply chain management systems collect information from various sources, including sales orders and inventory management systems, to provide greater insight into a company’s operations.
This information can be analyzed using algorithms such as machine learning to predict future demand for products or services and ensure that you have the right amount of inventory on hand to meet this demand.
4. Improved Healthcare
The digital transformation in healthcare is centering on using big data to provide better patient services. The goal is to minimize costs while improving outcomes through better communication between patients and doctors and between doctors and hospitals. Doctors can now collect more information about each patient, allowing them to provide a higher level of care.
Another use of big data in healthcare is predictive analytics. This can help doctors diagnose illnesses faster by using machine learning algorithms to identify patterns within medical records. This analysis allows for earlier detection and treatment of diseases, leading to less time spent in the hospital and lower costs for the patient.
The use of digital technology in hospitals is changing how we deliver treatments and care for patients. One example is robotic surgery which allows surgeons to operate on patients using robots with more precision and accuracy.
5. Fraud Prevention
Businesses fall for fraudsters in various ways, including check and invoice fraud. Because big data involves information collected from different sources, identifying patterns that indicate fraudulent activity, which allows companies to prevent fraud, becomes easier.
First, you’ll have a lot of information on how business fraud occurs and educate yourself and the staff to be on the lookout. This can keep you from falling prey and incurring massive losses.
6. Sales and Marketing
Marketing teams can use big data to target specific groups based on geography or income level. This helps them reach customers who are more likely to buy certain products or services than others, which is especially important if they’re selling something that isn’t very popular overall (e.g., a new type of shoe).
It also lets them identify potential customers who might not have otherwise thought about buying from them since the company wouldn’t have known about them otherwise.
7. Improving Product Quality
When you use big data, you can analyze customer feedback to improve your products and services. For instance, if you manufacture smartphones, you might notice that many people complain about poor battery life in a specific model.
You could investigate this further and find out that they are using their phones for things like streaming music and video. You could then create an app that allows users to turn off streaming when the battery gets low so that it lasts longer between charges.
8. Improving Customer Service
One of the most common uses for big data is improving customer service by analyzing customer data to find out what they want and how they want it delivered. By understanding what customers want, you can provide them with better service and make more money through increased sales.
For example, if you’re running an e-commerce website, you’ll be able to find out exactly what products your customers are interested in buying and how much they’re willing to pay for those items.
You can then use this data to help you decide which products to add or remove from your inventory and how much profit each type of product should generate for your company over time.
Conclusion
The spotlight on business intelligence and predictive analytics has never been brighter, and big data is increasingly more prominent in guiding everyday business decisions. These are only eight of the most common business uses for big data to give you a quick overview of how it can be applied. The concept of big data has the potential to impact any industry positively. It’s just a matter of finding its proper home.
