This page provides you with instructions on how to extract data from Sage Intacct and analyze it in Google Data Studio. (If the mechanics of extracting data from Sage Intacct seem too complex or difficult to maintain, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)
What is Sage Intacct?
Sage Intacct provides accounting and financial management software with automation and controls around billing, accounting, and reporting. Components include accounts payable, accounts receivable, cash management, general ledger, order management, and purchasing.
What is Google Data Studio?
Google Data Studio is a simple dashboard and reporting tool. It's free and easy to use, but it lacks the sophisticated features of higher-end reporting software. Many of the connectors it supports are for Google products, but third parties have written partner connectors to a wide variety of data sources. Its drag-and-drop report editor lets users create about 15 types of charts.
Getting data out of Sage Intacct
Sage Intacct provides an API that lets developers retrieve data stored in the platform. Intacct also has a Data Delivery Service (DDS) that enables companies to extract data from the platform and send it to a cloud storage location.
Loading data into Google Data Studio
Google Data Studio uses what it calls "connectors" to gain access to data. Data Studio comes bundled with 17 connectors, mostly to pull in data from other Google products. It also supports connectors to MySQL and PostgreSQL databases, and offers 200 connectors to other data sources built and supported by partners.
Using data in Google Data Studio
Google Data Studio provides a graphical canvas onto which users drag and drop datasets. Users can set dimensions and metrics, specify sorting and filtering, and tailor the way reports and charts are displayed.
Keeping Sage Intacct data up to date
You can code up a script or written a program to get the data you want and successfully moved it into your data warehouse. But how will you load new or updated data? It's not a good idea to replicate all of your data each time you have updated records. That process would be painfully slow and resource-intensive.
The key is to build your script in such a way that it can identify incremental updates to your data. Once you've taken new data into account, you can set your script up as a cron job or continuous loop to keep pulling down new data as it appears.
From Sage Intacct to your data warehouse: An easier solution
As mentioned earlier, the best practice for analyzing Sage Intacct data in Google Data Studio is to store that data inside a data warehousing platform alongside data from your other databases and third-party sources. You can find instructions for doing these extractions for leading warehouses on our sister sites Sage Intacct to Redshift, Sage Intacct to BigQuery, Sage Intacct to Azure Synapse Analytics, Sage Intacct to PostgreSQL, Sage Intacct to Panoply, and Sage Intacct to Snowflake.
Easier yet, however, is using a solution that does all that work for you. Products like Stitch were built to move data automatically, making it easy to integrate Sage Intacct with Google Data Studio. With just a few clicks, Stitch starts extracting your Sage Intacct data, structuring it in a way that's optimized for analysis, and inserting that data into a data warehouse that can be easily accessed and analyzed by Google Data Studio.