Data integration is the gathering and blending of data from different sources. The integrated data is presented in a uniform structure or view that may be used to alter activities, run analytics, and create statistics. The first stage in changing data into more descriptive and important data is integration. You cannot access the data collected in one system in another without data integration. For instance, you might collect client information in your CRM that is inaccessible to anyone outside of sales and marketing. Other teams will inevitably need access to such information at some point, possibly while processing an order or taking care of credit accounts. This results in the manual sharing of data through spreadsheets, emails, and phone conversations. And mistakes are inevitable when it occurs.
Data is and has always been the most valuable asset, as seen by the growing volume of data being gathered daily from a variety of sources at a far faster rate. Businesses are particularly interested in putting into practice various tactics to make the best use of the data to finish applications. However, the real concern is how well that can be accomplished. Let’s take a closer look at what it means to say that there is such a vast amount of data. A study found that roughly 60% of businesses today operate without a sound business strategy, which has disastrous implications. By performing a real-time view and analysis of the Daton Saras Analytics and gathering numerous targets, data integration tends to quite effectively address this issue.
- reduces the complexity of data.
- raises the value of data that has been processed by unified systems.
- centralizing the data, i.e., improving its worth and usability.
- Collaborations facilitate communication between multiple business systems.
- Improve your business decision-making.
- enhances internal communication between several divisions.
- secures your data in real-time by maintaining timely information.
Without a question, complex data center environments, where numerous systems are producing massive volumes of data, are what drive the demand for data integration. Instead of viewing the Data individually, one must comprehend them collectively. It is merely a method and piece of technology for offering a unified and consistent picture of data throughout the whole company.
Benefits of using Data Integration for your Business
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Improve The Roi Of Your Salesforce
High-end clothing company Derek Rose used Microsoft Dynamics to manage their accounts and Salesforce to manage their client connections. This meant that they were unable to see where they could more effectively direct resources to promote growth, which meant that they were missing opportunities for progress. We integrated the two systems to enable them to use Salesforce for financial reporting, which helped them understand the benefits of data integration. As a result, they can now easily obtain whatever information they require. Significant efficiency improvements have been made, and more importantly, sales and revenue have increased.
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Use Fewer Resources To Do More
Homespice struggled to make Microsoft Dynamics work for them as a small rug retailer. They shared login information because they had a limited number of licenses and were utilizing it for accounting, inventory, and sales orders. They, like many small firms, thought the expense of purchasing several licenses was prohibitive, yet sharing logins made their operations clumsy and error-prone. Instead, they started to manually re-enter data into Salesforce, but this was time-consuming and prone to mistakes. By combining Salesforce with Microsoft Dynamics, we at Saras Analytics can assist them to enjoy the benefits of data integration so that their salespeople can readily access all the information they require.
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Make Yourself More Competitive
Interdata, a flourishing company, was having trouble keeping up with the high volume of sales and invoices. When a corporation first starts, it may be able to function without a data integration tool, but as it grows, it can be challenging to coordinate operations between two systems that are both heavily data-driven. Interdata required a dependable, automated system that could support additional growth with over 6000 consumers each day. We at Saras Analytics worked with them to streamline procedures and sales by integrating their CRM and ERP platforms. They were able to reap the full rewards of integration, including instantaneous access to client sales totals and complete control over who had access to customer data.
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Strengthen Your Relationships With Partners And Customers
Leading video management supplier Milestone Systems’ account executives were stressed out and struggling to concentrate on fostering relationships because they were spending so much time manually entering data into two different systems. We assisted them in integrating Salesforce and Microsoft Dynamics so that executives could focus on using numbers rather than manually entering them and get the full benefits of the data integration tool. Now that data is automatically sent between two systems, they may fully utilize the Sales History add-on. The outcome? is better interpersonal connections, additional prospects, and company expansion.
Conclusion
A data integration tool’s ability to simplify data is its most crucial feature. Data that is easier to use and more efficient is simplified. Making meaning of data that is dispersed takes an enormous amount of time. For instance, it can be challenging to understand the data and challenging to apply it further when viewing CRM or ERP data through distinct systems. The data is incredibly complex since it must be sorted through numerous systems, and it cannot be analyzed or used in a meaningful way unless it is gathered in one place that is simple to examine. Data integration is the process of combining data from several sources onto a single platform. Management, team members, and perhaps partners can easily access it. Data can be presented in a wide range of formats, including those with a structure, visuals, web-based programs, and more. After thoroughly examining the data, it is much simpler to spot any problems and make the necessary corrections. This can be accomplished using both qualitative and quantitative analysis, which is only applicable once all the data has been collected. Having a single, unified view of the data makes it easier to utilize and understand.