5 Customer Data Integration Best Practices - ByteScout
  • Home
  • /
  • Blog
  • /
  • 5 Customer Data Integration Best Practices

5 Customer Data Integration Best Practices

Data Integration is nothing new, it has existed forever. The only difference is that in previous days people used to manage data manually. Whereas, now, technology is the best alternative to it. With the ongoing progress, we have shifted from operating flat data files and integrations to adopting applications to form databases and data warehouses that automate the integration of data.

The constant support provided by information technology has led to enormous growth in data sources compared to the earlier days. Managing data requires time as it is a big task to complete that also grows exponentially every year.

  1. What is Customer Data Integration?
  2. What are the Benefits of Customer Data Integration?
  3. Customer Data Integration Best Practices

Customer Data Integration Best Practices

What is Customer Data Integration?

The process of describing, fortifying, and administering customer information for an association’s business units and operations for achieving a “single version of the truth” for customer data is known as the Customer Data Integration (CDI). Generated by consolidating information from all available sources that include contact details, customer appraisal data, and information gathered through primary sources such as having face-to-face interactions, helps in the composition of the golden record.

From developing business processes to facilitating better sharing of information among the various departments, customer data integration is one of the best strategies to adopt. Also, for a better output, customer service and customer data integration strategy should go hand-in-hand, as CDI is a significant determining factor in customer relationship management.

What are the Benefits of Customer Data Integration?

Providing you with the best opportunities of having an overall customer view; customer data integration delivers the chances of knowing and understanding the customer behavior, interests, and the possibilities of them purchasing a product. Such understandings are beneficial for both specific marketing functions and overall business growth.

1.  Product opportunities

If a company wants to sell an existing product to potential customers who operate within a lower budget; then, a Customer Data Integration tool can help identify marketing leads. Considering the determined budget; such a tool will help to make sure that the decision of producing a lower-cost product is beneficial for the business or not.

2.  Target Marketing

Customer Data Integration provides the business with an opportunity to target the likes and dislikes of your customers, identify customers’ behavioral patterns, and finally to learn and acknowledge better ways to improve sales patterns.

3.  Improved Customer Service

Having an overall understanding of customer behavior helps you meet the specific needs of the concerned customers when necessary. Customer Data Integration is a contributing factor there, as it prepares you for the process.

4.  Predictive Insight

Customer insight gives the ability to predict future sales potential. Analyzing the historical and present customer data provides the company the strength to be ahead of trends and fulfill customer demands.

Customer Data Integration Best Practices

1. Taking the long-term goals into consideration

Considering only the short-term benefits will eventually fail your efforts in data integration. Earning a quick return on investment may be a bit easy but, holding the figures in the future would be difficult without choosing a platform and a process that can adapt to the ever-changing needs of data integration.

It is significant to consider the changes for the investments to stay relevant for years instead of weeks or months. Therefore, choose your data integration software efficiently, as it should have the capacity to assimilate the changes to avoid slowing down your efforts.

2. Choosing the Right Customer Data Platform

In today’s world, it is effortless to gather information about customers. One can accumulate data from website visits, social media interactions, and many other online procedures. However, having this data is not enough. Business users often face the problem of storing data in different places. Also, the stored data frequently fails to be compatible with the growing needs of the users, or there can be many other problems arising. Therefore, you must choose a customer data platform.

Why? The acquisition of information from different sources, arranging and placing them becomes easy and convenient. Such categorization makes information easily accessible. They also eliminate incomplete, wrongly formatted, and repeated data to maintain a more organized and planned record. Such initiatives also mean that work becomes easier for everyone present in the organization; the process also helps you to optimize the operations.

However, it should be kept in mind that a data platform is not similar to customer relationship management software. According to Forbes, data platforms are Customer Relationship Management that let you track the customers and engage them in new and more meaningful ways.

3. Setting Clear and Reasonable Data Integration Goal

Delving deep into data is informative and knowledgeable only if it can enhance the company’s business goals and objectives along with product strategies. From centralizing data to improving data security and creating more remote work positions, setting such reasonable goals prevents you from being influenced by fascinating patterns and intriguing numbers. Therefore, it is crucial to establish a clear and reasonable set of data integration goals for the solidification, assimilation, and analysis.

4. Forming a Strategic Data Management Plan

Forming a strategic data management plan is beneficial for the accomplishment of your business objectives and measuring the results. Establishing an ongoing data management and analysis process in your organization helps to ensure that no data project moves forward without a goal and a method of achieving the goal.

The planning requires the involvement of all departments; the individuals should work together to acquire the complete picture of the needs of the customers. Limiting the planning to a single department will expose you to losing a complete 360-degree view of the data integration project.

Also, the concerned company should be aware of the tracked data, individual department’s goals, and strategies. Understanding such needs is crucial, or you risk duplicating collection and management efforts, losing money and time.

5. Integrating Big Data Sources efficiently

One can only encompass a reliable data integration strategy by expertly consolidating the data sources. It is crucial to integrate data from various applications and convey data from a source to the target.

Managing batch integration processes with multi-source real-time integration and federation are significant for blending the data stored in a Master Data Management system with big data sources that keep you well-informed about your goal. Hence, choose a data integration tool keeping the factors in mind.


About the Author

ByteScout Team ByteScout Team of Writers ByteScout has a team of professional writers proficient in different technical topics. We select the best writers to cover interesting and trending topics for our readers. We love developers and we hope our articles help you learn about programming and programmers.