Integration has become the new business fabric from which initiatives can be built on data. It helps organizations break down silos, consolidate unequal data, and give rise to a unified data set that is consistent and accessible across ecosystem. Further, it streamlines processes (order-to-cash or procure-to-pay), transactions, interactions, and relationships to help companies create new revenue streams and ultimately set a path to success. Take a glance at this blog post to identify four important benefits of enterprise data integration solutions.
It is a known fact that all data is not created equal. It lives in different formats: structured and unstructured, on-premises and in the cloud, standardized and ad hoc, comprehensive and sparse.
Data sets are often formed and maintained by a single department of an organization. The marketing team garners survey responses, sales team creates a lead list, customer service team keeps feedback, and so on. But all this information remains isolated within individual departments, with gated access to outsiders. Now, imagine the power of data and its impact on the business if it were consolidated.
Enterprise data integration solutions enable companies improve the handling and usage of data regardless of type, structure, or source. Moreover, it enhances data quality by running syntactic and semantic checks and removing errors as well as duplicities.
With a central data repository, these solutions facilitate automated real-time reporting based on accurate data. This increases accuracy and reduces the time spent on processes associated with consolidating and cleansing data. Further, essential components such as drag-and-drop UI, AI-powered data mapping tools, a comprehensive library of application connectors, etc. make data more readable for better decision-making.
In the absence of centralized access, companies are likely to suffer from redundant work, outdated information, and inaccurate decision-making. Data integration tools allow such units gain centralized data access that helps them make quality-driven decisions and streamline collaboration through self-service.
Additionally, enterprise data integration tools allow organizations resolve compliance issues that may result from data fragmentation. The centralized access feature allows them keep a track on data sources and notable changes if any. And, by safeguarding data throughout, firms will surely be more prepared to meet audit requirements.
With different information in place, different organizations will draw different conclusions. In the absence of consensus, companies can experience cross-departmental friction while determining and prioritizing business needs.
When enterprises can employ their knowledge fully, operations can turn smoother than ever. Consequently, decisions will be more accurate and productive, making organizations easier to do business with.
The lead quality is proportional to data quality. In case a sales rep isn’t aware of marketing activities, that is considered a missed opportunity for cross-selling or upselling efforts.
Poor data quality can actually lead to alienation of prospects altogether. Suppose, a development team sends prospecting letters with inaccurate information, they may do damage to their company’s reputation. By integrating data, development teams and sales leads will be able to distinguish actionable information based on the current state of the business. With this accurate information, company reps can kickstart reliable, efficient business exchanges and offer personalized experiences to customers.
Solutions such as Adeptia’s data integration tools empower users harness the power of data to make improved decisions and ultimately create more revenue.