Data Studio Vs. Power BI for NetSuite
ERP systems are built for the specific purpose of ingesting data and they’re part of a rigid data structure by design. At their core, there’s a General Ledger and Subledger structure - this is built for specific accounting purposes. This ultimately limits the reporting flexibility that your FP&A teams and stakeholders want.
What now? Your teams turn to extracted data sets from more flexible spreadsheets that can have human errors and very little reliability.
In order to get the most from your data visualization software, such as Data Studio and Power BI with NetSuite, you’ll need an optimized data model.
By getting this through a data warehouse, you’ll bypass the limitations of joining tables and directly access certain data sets within the actual systems.
Both Data Studio and Power BI have robust functionality in blending multiple data sources when accessed through a well-designed data warehouse.
Here’s An Example
What would normally be multiple saved searches in NetSuite can be a consolidated report combining information across NetSuite. This, plus the ability to incorporate third-party data sources (e.g. CRM, eCommerce, etc.) living in the same data warehouse.
In addition to churn specific KPIs, subscription-based companies further analyze the state of their customer base by calculating periodic and long term value and cost to get a fuller picture of the health of their business.
Popular SaaS KPIs to consider include Customer Lifetime Value, Customer Acquisition Cost, CAC:LTV Ratio, Net Promoter Score, Payback Period, Annual Contract Value, among others…