How to Significantly Reduce Data Integration Costs
Do you always target cutting costs for your business? Do you genuinely think that the money saved is money earned? It’s good if you belong to this category. Whether you are running a small or big enterprise, our useful tips below will aid you in significantly reducing data integration costs. Here’s how:
Concentrate on Relevant Data
Data is very important to businesses. Relevant data more so! If a business accumulates poor data, their data integration endeavours may suffer terribly. Your business is unlikely to face improved customer service and increased sales if you feed your systems with low-quality data. While it is critical to consolidate your data, it is also critical to ensure that the data can be used in your connected systems efficiently. If both systems already possess old, erroneous, or outdated data, the integration will be altogether useless. Data cleaning is typically thought to be time-consuming by nature, but it may be highly needed for your business.
Create Data Integration Architecture Meticulously
When integrating systems, you must distinguish between primary and secondary systems. The operational systems that carry out company procedures are known as primary systems. Information is fed into primary systems from secondary systems. To facilitate business process automations, you might have main data linkages between numerous systems. This eliminates duplicate data entry while also ensuring consistency and transparency. Data is then fed into the primary operational systems via integrations with secondary systems. Thus, you can design consistent data pathways and keep consistent data much more easily.
An in-house system integration development may appear to be a good concept at first. You know everything there is to know about the company's procedures and data models. Appealing as it may appear, this can prove to be a costly mistake in the long term. In-house data integration solutions are rarely built with a thorough understanding of long-term implications. Always ensure that your data integration solution is future-ready. In-house or custom-made interfaces typically necessitate development, which limits flexibility and increases cost of upgrades and maintenance.
Deploy Best Practices
Aim for data integration services that help your business to incorporate the best data integration practices. This will aid you in the long run. Not to overlook the fact that data integration should adhere to the defined industry standards. If you are as per industry standards, you will be viewed as a positive player in the market.
Use Customizations Only When Needed
Many systems and applications now include role-specific functionality. Even when standard functionality is available, most implementation projects require additional tweaks and development work. Several customizations are made to support corporate or user-specific working procedures. What appears to be a fantastic notion at the start of a project can quickly turn into tons of custom modules and functionalities. This is when a data integration project has transformed into a ‘problem’. You never meant it! The more adaptations you make to your systems, the more likely your data integration project will exceed its budget. This is unfavorable for your business.
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