This is a guest post by Dataddo.
Companies generally adopt different types of data integration platforms as they advance through the phases of organizational data maturity. Some specialize in extracting data from apps and sending it to dashboards or databases (Extraction, Load and Transform (ELT) and Extraction, Transform and Load (ETL)). Some specialize in copying data between databases (data replication), and others specialize in sending data from databases back into apps (reverse ETL).
However, as data becomes more deeply embedded in the business, they won’t want to waste resources adopting a new, specialized platform every time they need a new type of integration. Instead, they'll want to use one integration platform to connect any source to any destination, regardless of integration type.
The solution: Dataddo - A comprehensive data integration platform
Dataddo is an any-to-any data integration platform that supports organizations at every stage of data maturity.
Stage 1: Visualization enablement (end-to-end integration)
The way companies dip their toe into data and analytics is by viewing it. They usually start by looking at the native dashboards of the tools they use, like CRMs, ERPs, ecommerce platforms, and marketing apps. Soon, they see the need to blend data from these tools, as well as customize visualizations, so they start exporting data to dashboarding apps that offer more analytics flexibility.
Solution: Dataddo enables any user, regardless of technical skill, to connect any cloud-based tools to dashboarding apps, like Zoho Analytics, for data insights.
Stage 2: Data centralization (ETL/ELT)
When companies start to realize they have too many sources of data and need to bring it all together in a central location, they turn to tools like data warehouses where engineers can organize and manipulate data before sending it back out to their dashboarding apps. But, how does the data get there?
Solution: Dataddo can funnel data from all the company’s online sources to any data warehouse or data lake. Any connections already configured in the Dataddo app can easily be rerouted from dashboarding apps to data storage.
Stage 3: Data replication
As the data and analytics culture within companies continues to grow, other departments, like marketing and sales departments, might want to start looking at data to improve their results. However, for security reasons, they might not be given access to the main data warehouse.
Solution: Dataddo can be used to set up a data synchronization pipeline from the main data warehouse to a secondary warehouse. This gives the business teams their own sandbox environment, but keeps the data teams in full control of security, and compliant with internal and external regulations.
Stage 4: Data activation (Reverse ETL)
What if a business team requires deeper insights based on first-party data—like lifetime value, risk of churn, and advanced scoring—directly in the tools where they spend most of their time. How can the engineers deliver these insights?
Solution: They can use Dataddo to send enriched data from any warehouse back into any operational tool (like Zoho CRM). This is reverse ETL—the final, missing piece of the modern data stack.
A future-oriented data integration platform should serve organizations at each stage of data maturity by offering a complete range of integration functionalities: ETL, ELT, data replication, and reverse ETL. In this way, users can simply pick a source, pick a destination, and send their data without having to think about what type of integration they want to perform and which platform allows them to perform it.
Dataddo offers all of these functionalities and plays perfectly with Analytics, Zoho's dashboarding tool. Start syncing data free to Zoho Analytics today for quick insights, then scale up as you grow.
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