When an organization does not use the right approach, technology, or strategy, the way it manages and navigates through data and other businesses could be interfering with its business intelligence, innovation, analytics, and growth objectives. What’s the result?
A rigid organizational structure that fails to identify the needs and requirements of customers and meet them to make proactive business decisions in a secure, easy, and quick way.
Can organizations do something or take some steps to avoid this ill fate?
Yes, they can.
And they can do this by recognizing the B2B integration challenges and associated solutions.
1. Delayed Onboarding
The fundamental roadblock organizations face with modern B2B integration software platforms is while they integrate with other businesses. To automate the data flow between different systems ad applications, such as ERP, organizations must build a B2B connection. However, this can get complicated if multiple partners are involved. In such cases, organizations need to connect with their systems to achieve the objectives of B2B integration. When a conventional solution is used, IT teams need weeks or months of calendar time to create connections.
2. Availability of a Wide Range of Data Types
In a particular B2B integration software system, there are multiple types of data such as EDI standards and protocols. A particular EDI protocol is a way of sharing data between multiple devices or systems. It is also used as communication software or an application. During the process to drive data exchange, both parties need to use the same protocol, such as HTTP, OFTP, and AS2.
Now, companies comprehend specific standards differently, which results in variation. This variety can make the data integration process complex and time-consuming.
3. Increased pressure on IT teams
When traditional data integration solution is used, IT teams are required to create custom codes and create data mappings to onboard, integrate, and use complex bi-directional data. That takes a lot of time and effort - sometimes even months. Because IT remains busy and incapacitated, it fails to focus on more high-value tasks. In addition to productivity-related issues, a plethora of companies hires IT staff that adds up to business costs. Further, many companies fail to equip themselves by hiring and training technical staff with the required knowledge and experience to navigate tedious data integration projects.
4. Tedious Data Exchange
Another challenge that organizations face these days is related to data exchange. In the current disruptive times, data as well as systems have gone up. Now, organizations need not send or exchange data across different partner ecosystems. These systems cannot communicate with each other. As a result, organizations struggle to exchange data between different business ecosystems. That transforms an organization's way of doing business and ensures value generation.
5. Transient Customers’ Needs and Requirements
The needs and requirements of customers are changing on a regular basis. In simple words, they are changing more than ever. Truth is, customers want to receive quick and reliable service from customers. In order to meet emerging needs and requirements, organizations need to modernize their approach. That’s because legacy solutions fail to address the growing needs and requirements of customers without delay. Consequently, customers are filled with unhappiness and dissatisfaction. These dissatisfied customers are more likely to not buy products or services from the company. In worse situations, these customers can even switch.
6. Lack of Adequate Solutions and Resources
Last but not the least, organizations face the trouble of the absence of tools and solutions that are necessary to effectively manage supply chain ecosystems. When organizations do not have systems or resources, they struggle to streamline supply chain operations. This could increase delays - in driving orders. This increases costs.
All these problems can get resolved by transforming the B2B integration software approach through self-service. By doing so, organizations can implement data connections much more quickly, deliver the value promised to customers, and create new revenue streams.