The process of transferring customer data is a complex and time-consuming process that many businesses face. It is often considered one of the most challenging tasks that their teams perform. Most IT managers find it hard to handle due to the unpredictable nature of the tasks and the lack of consistency in the execution.
Data onboarding engineers often feel frustrated by the endless failures that they experience. This can be remedied with the use of data onboarding tools. Below are some of the common challenges that businesses face with data onboarding.
1. Large Numbers of Customer Integrations to Maintain
Depending on the size of the company’s ecosystem and the type of transactions that are conducted between its various external entities, the number of custom integrations that a company has can vary.
An external organization is a network of companies, partners, suppliers, and customers that exchange business data. The number of these entities in a company’s ecosystem can vary depending on the size of the company and its various business activities.
The number can also vary depending on the type of business data that it collects and the transactions that it makes with its various external partners and customers. Keeping track of all the details that are exchanged between these multiple entities can be challenging.
2. Less Control With End Customers
Since a company has limited control over the data that it collects and exchanges with its partners and customers, it has to be flexible in its approach to ensure that the exchange of data is streamlined. You can do this by using various formats and methods. Ideally, a company should use a standards-based approach to ensure that the exchange of data is streamlined. However, this can be very challenging to implement in most cases.
This approach usually involves using a combination of non-standard and standard methods and formats. It can also be done with the help of data exchanges with its partners and customers and by using data onboarding tools.
3. Cannot Control Time
The lack of control over the timelines that a company’s external customers have when it comes to implementing new data integrations is a common issue that businesses face when it comes to data onboarding. This issue can lead to the IT staff having to rearrange their priorities to accommodate the needs of the end customers.
Sometimes, a company’s external customers are slow to respond to requests for information or are unresponsive, which can lead to a delay in getting the necessary information. In other cases, errors and exceptions can occur during normal operations, and the customer’s side is unresponsive to fixing them.
4. Lack of Data Quality Control
Due to the nature of the company’s ecosystem, it is not always possible for a company to control what happens to the data that it collects and exchanges with its external partners and customers. This can result in the quality of the data that the company receives being negatively affected. One of the biggest factors that a company can consider when it comes to data quality is the availability of accurate and timely information.
Maintaining the quality of data is a top priority for an organization’s IT department, and this includes regularly validating and reviewing the data that it collects and exchanges with its external partners and customers. Doing so can help prevent unauthorized access and manipulation of the data.
5. Pressure to Complete Process Quickly
An important factor that a company’s sales and marketing teams consider when it comes to acquiring new customers is the availability of the necessary data to quickly convert them into paying customers. This is because, in most cases, it takes a long time to get the necessary information to the new customers. Getting the necessary data to the new customers quickly is important for a company that provides data-driven services.
In most cases, the IT department is under pressure to complete the data onboarding process quickly, which usually involves getting the necessary information to the new customers in just a couple of hours.
The complexity of the data onboarding process is a daunting task for both the business and technical teams, and it can be resolved through the use of the right tools and methods. This is why companies must consider adopting a better approach to data onboarding. By using their strengths and capabilities, they can improve the efficiency of their operations and provide a better customer experience.