Integrate Google BigQuery to ChartMogul
Querying massive datasets can be time-consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google’s infrastructure.
It’s a scalable, no-setup service that gives you real-time business insights about your data.
Integrate Google BigQuery to ChartMogul
Why We Like Google BigQuery
Save your company’s time, resources and internal bandwidth by choosing a fast, fully-managed data warehouse.
Scale Your Efforts
Don’t get overwhelmed by your data. Use BigQuery to scale your efforts and support your data transformations even as you grow.
Feel secure knowing that Google BigQuery is fully managed by Google. That means they deploy, maintain and upgrade your database for you, giving your business peace of mind.
Upload your data and run SQL quickly and efficiently - no setup, no software and no duplicate data.
See Why It's Awesome to Use Xplenty with Google BigQuery
Transforming data from Google BigQuery can be a daunting task. Xplenty makes it super easy to use and understand - see how.
VP Data and Analytics, Panda Pepper
We are using Xplenty to move data from BigQuery, Firebase and Appsflyer to our SQL Server data warehouse, to allow our customers make knowledgeable decision regarding their mobile product. By working with Xplenty, we don't need to worry about the integrations - we merely build the ETL packages, and their are doing all the heavy lifting. Xplenty have a 24/7 support, and we are very satisfied with their product and support.
Xplenty and Google BigQuery
With Xplenty, users can transform and load data from any data store directly into BigQuery. That means more accurate data, comprehensive analytics and helpful business insights.
Popular Use Cases
Xplenty can extract any data that you need from ChartMogul. Here are some of our most popular use cases:
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
Update customer data with custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.