In the world of data management and reporting, understanding the underlying databases is crucial in selecting the right tool to meet your business requirements. This blog post aims to clarify the differences between the NetSuite ERP database and the NetSuite Analytics Warehouse (NSAW) database.
Key Differences Between NetSuite ERP and NSAW Databases
1. Database Structure
The NetSuite ERP database operates as an OLTP (Online Transaction Processing) database, which means it stores transactional data in a normalized format. This structure makes it extremely effective at reporting on the vast amount of GL Entries, Transactions, and even custom objects in NetSuite. NetSuite users can enjoy real-time consolidation and reporting across multiple subsidiaries, with millions of transaction lines.
NetSuite then offers Saved Searches, Reports, and SuiteAnalytics to analyze this information. These are very powerful tools but have some limitations. For example, for some business requirements, one may require multiple joins across tables to fetch data, which can sometimes lead to longer query times on this architecture.
In contrast, the NSAW database employs a star schema design, categorized as an OLAP (Online Analytical Processing) database. This denormalized structure is advantageous for data warehousing, as it is optimized for high-speed, multi-dimensional analysis of large datasets. By eliminating complex joins between tables, OLAP databases can process many data queries significantly faster than their OLTP counterparts.
2. What is a Star Schema?
Star schemas consist of central fact tables surrounded by dimension tables. Fact tables store quantitative data, while dimension tables provide context to these facts. This structure allows for efficient querying and reporting, making it easier to analyse complex data.
3. Key Concepts for NSAW
To effectively generate NSAW reports, it’s essential to understand several key concepts that might be new for the average NetSuite user:
- Functional Areas: These represent unique classifications of transactional data stored in NetSuite, such as sales, inventory, purchase orders, and financial data.
- Subject Areas: These are analytics-ready data sets organised based on commonalities within a specific functional area. Examples include Sales Orders, Cash Sales, Item Fulfillments, and Invoices.
- Facts: These capture measurable events or occurrences, such as the total number of sales orders or the total amount in base currency.
- Dimensions: These provide context and represent various entities or perspectives, such as employees, customers, locations, time, and items.
- Attributes: These are specific characteristics or properties within a dimension, offering detailed information about each data point. Dimensions help provide context to the facts within the data.
- Key Metrics: These are quantifiable measurements used to track business performance.
Key Takeways
By understanding these key concepts related to the NSAW database, you can easily generate workbooks that provide valuable insights into your business. This understanding will empower you to make strategic decisions that can drive growth and improve performance.
At Plative, we are experts in reporting and analytics for NetSuite, Salesforce and other systems, and are here to support you with any of your business needs. Whether you’re looking to create insightful reports or need assistance with data analysis, we’ve got you covered!