6 Things Data-Based Decision Making Has Shown Us in the Past Decade
The concept of “gut” feeling or intuition permeated our lives long before when our ancestors relied on instincts to hunt for food and stay safe from predators. Today people romanticize intuition to such an extent that they go with their gut feeling even when confronted with evidence pointing to the contrary. But as modernization made the world more complex, making decisions became even more challenging—and relying on instinct is no longer enough.
Although intuition can be beneficial in setting you on a particular path, it’s through data that you can understand, verify, and quantify decisions. The recent growth and advancements in technology have made data-driven decision-making crucial in most business settings. From healthcare and medicine to the transport and manufacturing industries, every field today relies on bata-based management. But what exactly does that mean?
Data-based decision-making refers to collecting and analyzing data to make judgments based on insights derived from the gathered information. Since the whole practice is pretty objective, companies can quickly evaluate the pros and cons without worrying about personal biases. The entire process is quantitative and requires powerful machines to run big data sets. These don’t come cheap, and companies often wonder if the investment is worth it.
To help you make a decision, here we have outlined six things data-based decision-making has shown us in the past decade.
1. Greater transparency and accountability
When company managers wield the power of data-based decision making, they help improve business operations in several ways. The most significant of them is greater transparency and accountability. This strategy improves efficiency in teamwork and encourages staff engagement, which consequently benefits an organization.
Since data is objective and free from personal inferences, stakeholders of a company—both internal and external can better understand certain decisions. Organizations can better explain their business strategies to ensure all employees, investors, and suppliers are on board with them. Additionally, data-based decisions also promote communication and collaboration between different departments as there’s only one source of information for everyone. More importantly, employees can easily see the outcome of their work, thus boosting morale and enhancing productivity.
2. Continuous improvement in business operations
Another way data-based decision-making has helped companies is by bringing continuous improvement in their business operations. They can implement gradual changes based on their data-based management results by monitoring specific metrics. Whether big or small, all changes revolve around information received from certain checkpoints in the system. This strategy enhances the efficiency and overall performance of an organization.
This data-driven decision-making approach is crucial because it doesn’t rely on the knowledge or skills of managers and company heads. Instead, it involves using hard facts and figures that multiple individuals can verify. With the amount of increasing data, the modern technology to analyze that data is also becoming more readily available. Due to this, decision-making accuracy improves, and the organization strives for continual improvement.
3. Offers clear feedback for market research
A company must first learn to accurately identify and understand its target market and customers to be successful. Market research aims to do just that and is a crucial business strategy that significantly contributes to maintaining competitiveness. Without clear feedback, business owners can’t provide services or products that clients want and soon lose sales. But data-based decision-making, on the other hand, takes care of this problem as it helps companies receive valuable feedback. By identifying consumer interests, priorities, trends, and needs, companies can formulate new products and services to better cater to the clientele.
Collected data may even provide helpful insights in identifying trends even before they occur. By keeping a close eye on historical data and monitoring drifting customer interests, you can predict what’s to come in the future and how you can bring changes to accelerate its arrival.
4. Helps companies become proactive
Customer satisfaction predominantly drives success in the business world. Therefore, companies rely on positive experiences to build trust and offer services that cater to clients’ needs. Although implementing a data-based decision will be beneficial in its own way, that’s not the only role it can play in improving your company sales. With enough practice, time, and large quantities of data, you can anchorage it more proactively. For example, you can identify threats and risks earlier on and take mitigation steps before they can do any harm. You may also use this data to recognize business opportunities before your competition and design relevant strategies to attract customers.
Proactive data analysis and the pre-emptive actions you take can also transform the supply chain. With the availability and accessibility of robust real-time data, marketing teams don’t need to chase status updates but can instead refocus their energies on making improvements. Empowering the coordination between upstream and downstream activities enhances the speed and resilience of business operations.
5. Better cost savings
Most businesses invest in big data initiatives and data-based decision-making processes to increase sales. However, that’s not the only way you can improve profits. Your company can grow more successfully by cutting down costs and having better savings. For instance, companies that rely on big data can save product return costs by a margin. By implementing specific analysis tools and software, organizations can access the possibilities of returned products. They can also gather information on common factors that may lead to product returns, to prevent such errors from reoccurring. This approach can allow companies to take necessary pre-emptive measures to reduce losses and costs and save the organization from making unnecessary investments.
6. More confident decisions
Making decisions can be pretty challenging and, at times, exhaustive. Therefore, business owners need all the help they can get to make confident decisions about virtually any problem, from product launches to shifting brand images. Collection and analysis of relevant data can help accomplish this.
On the one hand, it serves as a benchmark to measure how your decisions impact your current business. It also goes beyond that in providing logical and concrete facts that remove prejudices from your judgments and instill confidence in the organization as a whole. Since actual data and evidence will always back up each of your decisions, your team will more likely commit to a particular vision or strategy easily.
Conclusion
Although there are numerous benefits of data-based decision making, at its core, it helps us use historical data to predict what’s to come in the future. Without access to relevant data, companies risk performing on false assumptions and biases that may at times even result in heavy losses. But by implementing data-based practices in daily operations, businesses can reach new heights of success more quickly and efficiently.
Thank you,
Glenda, Charlie and David Cates
