If your organization has multiple types of data residing in different portals, it can be difficult to report on that data accurately. And relying on inaccurate data will result in poor or inaccurate business decisions being made.
Data aggregation will help consolidate your data access points so you do not have to research multiple portals to find the data you are looking for.
This will enable you to view all of your data from a single pane of glass to help you identify the data you need more quickly.
Coeo understands how important accurate data is and has helped aggregate data for thousands of organizations to help them access their data more accurately and efficiently.
By the end of this article, you will understand what data aggregation is, its features and functionality, some examples of data aggregation, and whether data aggregation is the right solution for your organization.
What is data aggregation?
Data aggregation is a solution that enables you to collect and combine data from different sources to produce a more comprehensive and unified dataset. This enables you to analyze reports more accurately and improves decision-making.
Data aggregation gathers and organizes data to provide more accurate and meaningful reports and insights for your team that deliver more value than data from multiple individual portals.
Data aggregation can help organizations attempting to identify data and information on their organization’s business intelligence and network management.
If you would like to speak with our team to learn more about data aggregation or ask any questions you may have you can schedule an appointment.
The features and functions of data aggregation
Data aggregation provides many benefits enabling organizations to view data more accurately.
However, there are many features and functionality of data aggregation, and understanding them will enable you to determine whether data aggregation is a good solution for your organization. The features and functionality of data aggregation include:
Data collection
The main feature of data aggregation is data collection.
Data aggregation enables your organization to collect data from various sources including applications and external databases regardless of whether they store data in different formats or structures.
Data integration
Another major feature of data aggregation is data integration. Once data is collected from each source, it can be integrated into a single data set.
Data integration also performs data cleaning and transformation to ensure consistency within the data when integrating with different sources. This feature automatically deletes any duplicate data that is identified during and after the integration.
Data summarization
Once data is collected and integrated, it is summarized to provide a high-level overview. This enables you to create summaries of data such as averages and totals without having to filter through the data from different sources.
Summarizing your data enables you to reduce the amount of data across all platforms while also retaining the most accurate and important information for analysis.
Better analysis and reporting
Finally, data aggregation can result in better analysis and reporting. Data aggregation identifies patterns, trends, and insights across all sources of data which often results in better reporting in the form of dashboards and visuals.
Improved reports and analysis enable you to ultimately make better decisions within the company.
Examples of data aggregation
Now you understand what data aggregation is and its features and functionality. However, it might also be beneficial to see some examples of data aggregation to get a better understanding of the service. Some examples of data aggregation include:
Voter turnout by state or country
One example of data aggregation is calculating the voter turnout by state or country. To provide this report, the data is aggregated and summarized to where the individual voter records are not shown, just the vote totals by candidate for the region specified.
Average age of customer by product
Once again, the data is aggregated to only show the average age of the customer for the product without having to identify everyone’s age.
Is data aggregation a good solution for your organization?
Now you understand what data aggregation is, its features and functionality, and some examples of data aggregation. However, it is also important to understand whether data aggregation is a good solution for your organization.
If your organization is looking to improve business intelligence, data aggregation will enable you to combine data from various channels to get an overall view of business performance and identify common issues among customers to improve service.
Data aggregation may be a good solution for your organization if you are having difficulty accurately monitoring your network.
Aggregating network logs and metrics on network devices and summarizing data traffic will enable you to accurately report on network performance to help improve network uptime and optimize performance.
Lastly, if your organization is in the healthcare industry, data aggregation will provide aggregated patient data from multiple sources to track health trends and enable you to combine clinical trial data to assess the effectiveness of medical treatment.
However, if your organization does not use multiple data portals and only accesses data from one pane of glass, data aggregation may not be necessary for your organization.
Determining if data aggregation is a good solution for your organization
Now you understand what data aggregation is, the features and functionality of the service, examples of data aggregation, and whether data aggregation is a good solution for your organization.
This will help you determine whether your organization should use data aggregation to improve reporting and decision-making.
If your organization has difficulty reporting data accurately, it will likely result in poor business decisions being made. Additionally, if your organization is attempting to manually consolidate data from multiple portals, it can be time-consuming and potentially inaccurate.
Understanding what data aggregation is and its features and functionality will help you determine whether it is a good solution for your organization.
Coeo understands how important reliable and accurate data is and has helped thousands of organizations with data aggregation to help them report on data more accurately resulting in better business decision-making.
We want you to understand whether data aggregation is a good solution so you can determine if it will help your organization perform more accurate reporting.
If you would like to speak with our team to learn more about data aggregation or ask any questions you may have you can schedule an appointment.
