Can all organizations become more data-driven?
The huge development of new technologies and functions in recent years has enabled small and medium sized comapnies to turn into data-driven enterprises as well. So the simple answer is:
"Yes, any company can become more data-driven!"
Even companies that are considered "less advanced" in how they generate, analyze and use data in different systems and databases, manage to get their businesses to take the step towards a more data-driven future.
Step 1
Data collection – increased understanding of data
The first step doesn't have to be the hardest. Start small. Understand, acknowledge and learn.
Through digitalisation and IoT devices, businesses have access to a new type of information, which has not been available before. The biggest challenge for companies is rarely to access the right data. The challenge often lies in how quickly the use of data can lead to operational improvements.
It takes more than just technology to transform an organization into more data-driven. A good start may be to ensure that management supports the development of this, as management has a crucial role to play in advocating and organising changes in operations. The shift towards a more data-driven business requires new skills, processes, and behaviors to support the deployment of a solution with automated business analytics.
By analysing and deepening the knowledge about the data, it is possible to determine whether you should confirm or deny the hypothesis. You as a company have the opportunity to hand over the evaluation analysis, and thus not have to take time away from your business to achieve this. Bintel helps you evaluate what may be the best steps forward after installation is done.
Step 2
Use data to analyze your business
Learn how to learn lessons and insights from data, and how it can generate value in your organization.
A data-driven organization uses insights about its business, generated by data and analytics, to take action or not.
Data can be used by several different people with different purposes, such as:
- Analyse your existing efforts, what effect do they have?
- Analyze Waste volume (or weight)
- Analyze sorting rate
- Analyze collection intervals and fill level when collection has taken place
- Analyze customers and subscriptions
- How is the sorting of waste affected by different collection systems?
Step 3
Use data in you business development
Involve your organization and use data operationally and strategically.
Once the devices have provided you with data, this can be used to perform an analysis of the business. Based on these analyses, you can then gain knowledge about areas for improvement within the business. This, in turn, allows you to draw conclusions and make decisions that affect you business development to the positive.
Examples of areas of business development for which data can be used:
- Optimize/improve logistics and waste management routes
- Create more customized or new types of services, plans, or pricing
- Evaluate and challenge today's way of working. Do the efforts we make work?
- New criteria for purchasing and evaluating subcontractors
- Marketing communication – communicate and give customers feedback on how well they sort
- Drive and improve recycling rates
- Reduce the amount of residual waste
- Streamline emptying frequency and schedules
Step 4
Tactical use of data by leaders and specialists
Knowledge is power. Data gives you the power to understand and improve your management, thereby achieving your economic and environmental goals.
Leaders and business managers can tactically use data to analyze and manually make decisions to improve today's schedule based on data. In the event of unpredictable events, a leader will be able to receive alarms and can then manually choose to change the resource utilization based on the interpretation of its data.
By actively utilizing data in operations through tactical decisions, the organization can create better services and/or improve the organization's resource utilization. Tactical use of data within the business can lead to higher resource utilisation, less littering and higher customer satisfaction.
Step 5
On-demand collection and dynamic resource utilization
On-demand collection means that the container is emptied only if there is a demand for it. The following points form the basis for whether the container needs to be emptied or not:
- How full is it in the container in real time
- Prediction of when it will be full
- The day and time a truck is allocated to the area or zone where the collection point is located
- How far in the future it is possible to postpone collection without overfilling
- Once the fraction has been put on the driving route, a system optimizes the driving route so that it is as efficient as possible
It is different digital systems that control and make decisions about how the business's resource utilization should be as optimal as possible. Depending on the number of fractions collected at the same time, where the truck starts from, loads and empties, and the logistical principle of collection procedure determines how complex this optimization will be.
Summary – 5 steps towards integrating data into your company.
- Data collection and increased understanding of data
- Use data to analyze your business
- Use data in business development
- Tactical use of data by leaders and specialists
- On-demand collection and dynamic resource utilization
