Organizations may not be aware sometimes about the importance of data integration in their business. If you have a proper data integration strategy, you can take account of all your data trends so that it can be adapted well into your business from various sources. In this fast evolving tech world, companies may face enormous data challenges.
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Data Integration Adding Values to Your Business
Therefore, for assessing, leveraging and understanding your data, you will definitely need a data integration strategy.
Big Data Analytics:
Big data can help you in increasing volumes of structured as well as unstructured data that can be accumulated from various sources. For implementing big data analytics successfully, you will definitely require data integration process. You can plan your data process from one storage location into the other with the help of this particular process. Your data must be cleaned, prepared and placed at the right place at right time. Diverse data can be collected from various sources and can be inserted in Big Data Systems for performing analytic processes in right manner.
In the world of marketing data integration can play a great role through an automated process. Demand generation processes like social media profiles, sales processes and online searches can help in integrating online and offline data. Customer hubs can be created where customer data can be accumulated as holistic information and business decisions. Through automation, customer relationships can also be managed effectively. Marketers can therefore easily gain improved customer insights, more conversion generations, enhanced customer retention and an overall boost in selling opportunities.
As more and more data is getting placed in public as well as private clouds, data management should be done with an extra caution. For keeping consistency in your data processing, data integration is required through which data can move between clouds and databases. If you cannot follow the steps of data integration properly, you may face risks of duplication and inconsistencies within your organization.
For delivering the right Business Intelligence within your organization, integration of data is required. According to a study, 19% of the total amount of resources can be designated to Business Intelligence projects through data integration. The real-time business intelligence depends on reliable and high quality data integration process.
Customer Data Integration:
You can differentiate your customers by performing customer data integration in the right manner. For example, while taking a loan, a customer provides contact details such as email ID and phone number and soon he stops using that mail after taking the loan. Data integration team must ensure that all contact details of customers are verified properly. Sometimes, data needs to be updated very frequently and data deduplication method can be used in such cases. Data mapping can therefore be done by matching soft data with hard one. For example the address and date of birth of customers can easily be mapped through his photo ID proofs like Passport or PAN card.
Cross Sell Products:
You can also perform cross-selling of products through data integration. The company can easily create a product and test it on a small customer base. If it remains successful, the product can easily be launched in the real market. Customer data integration can help in identifying the customers who have regular interaction with the company.
If you can prioritize data integration process in your organization, you will definitely overcome many hindrances and bottlenecks. If you possess a successful data integration strategy, you will always stay ahead of other businesses in your niche. You can surely close more deals and increase your sales with better integration strategy in your organization.
Author Bio: Jerome Hudson is a well-known data management professional. In this article, he is providing some tips so that data integration can be prioritized for adding value to your business.