Have you ever thought about all the different ways your business collects data? Different departments such as sales, marketing, HR, and accounting probably have their own systems and methods for data collection, which makes it a challenge to get an overview of all these data. Data integration, which is the process of consolidating data from different applications and other sources into a single dataset, is the solution to this problem.
which Data need to be integrated?
Your business's data can come from your CRM system, web traffic, marketing software, apps that your customers use, social media, internet of things devices, sensor, external data from vendors and partners, and more.
The information that goes into the company's analytics reports needs to be extracted from all these different sources for effective optimization. Logging into multiple accounts on multiple websites or other applications to assemble all data together in the same format before analysis is possible to do manually, but this is time-consuming and can lead to errors.
why is data integration important?
Manual data collection and reporting are inefficient and can be inconsistent when multiple individuals are involved in the process. When reports can be generated automatically rather than manually, it's easy to get them quickly whenever you need them, and with less hassle and possible human error in gathering the correct data and performing the correct analyses. You can be confident that the datasets you have are complete and accurate.
By consolidating all data into a single integrated solution, everyone in the company gets access to updated information. This saves time, improves efficiency, and leads to better collaboration between different departments.
the smart way to do business
With a complete picture of your company's key performance indicators, you're in a better position to optimize advertising and marketing campaigns. Consolidation of customer data leads to improved customer service. Consolidation of employee data helps you optimize HR processes. Looking at expense, profit, and productivity data together provides insight into improving operations management.
Data integration is critical for business intelligence. Being able to see and understand past and current data that a modern business collects can be overwhelming. Getting an accurate evaluation of the relevant actionable information quickly and easily can make all the difference in solving problems and gaining valuable new insights.
