Data integration is the driving force behind system integration processes. Unless you integrate your data properly, your system integration efforts are bound to fail. In this post, we will explore the biggest challenges in data integration and how you can overcome them.
1. The Right Data at the Right Place
Getting your data unified is the goal of data integration. However, getting your data into a centralized platform is not very easy. Most businesses still operate with a silo mentality, restricting data in strict boundaries.
Additionally, relying on human efforts to collect data from disparate sources is also inefficient. What you need is a reliable data integration platform to unify data on your behalf. You can unify data from varied channels and use it for BI and smart business decisions.
2. Lack of Real-Time Synchronization
Real-time data synchronization is crucial for many businesses. For example, flight booking apps need to transact data in real-time to help passengers reserve seats. Unless your data transact in real-time, you will be unable to provide satisfactory service. Delays of even a few seconds can result in the loss of customers and revenues.
Most businesses don't have the resources to entertain real-time data operations. You need an automated integration tool to move ahead and make up for your lack of resources. Such a platform is a boon to small businesses to provide innovative services and win a competitive edge.
3. Inaccurate and Unusable Data
Data quality is important to make the most of your system integration. You can't tolerate poor data quality as it results in a loss of revenues. It can also damage your reputation and rob you of your innovative capabilities.
Data compatibility is also an important aspect and needs proper consideration. You can't have data with conflicting formats when you are going for integration. Plus, many businesses also suffer from duplicate data, which makes a dent in performance.
The answer to all these challenges is an intuitive data integration platform. You can validate data and keep an eye on your data pipelines without any effort. Your data integration platform will also take care of data formatting, making it usable across apps and systems.
You can also reduce duplication and improve data accuracy with your chose platform. Also, promote a culture where everyone shares data and works towards transparency.
4. Not Identifying the Right Data
Integrating all data across your systems is not the way to move forward. You may not even have the use for every piece of data that exists on your siloed systems. Spending your efforts on the wrong data is a sure way to waste money and effort.
You should identify and integrate data that is applicable to your present business operations. Don't get stuck with trivial and unnecessary data. Make a plan and then begin your data integration processes.
Final Thoughts
Nueswyft is a leading system integration firm with top talents in the industry. We can help you overcome the challenges of data integration and achieve your business objectives. Contact us today to learn how we can help you grow your business.