NetSuite Analytics Warehouse

Designed to automate and centralize your data processes, NSAW is a unified platform that streamlines reporting and analytics—helping you make faster, smarter decisions without the data headaches.

What is NSAW?

SuiteAnalytics Connect

SuiteAnalytics Connect is a feature of NetSuite's SuiteAnalytics platform that enables users to directly access and analyze their NetSuite data using third-party business intelligence (BI) tools, analytics software, or custom applications. It provides an ODBC (Open Database Connectivity), JDBC (Java Database Connectivity), or ADO.NET connection to the NetSuite data warehouse, allowing users to query, extract, and manipulate data outside of the NetSuite environment.

"Connect Your Data"

Oracle Autonomous Data Warehouse

The Oracle Autonomous Data Warehouse (ADW) is a fully managed, cloud-based data warehouse service that automates the complex and time-consuming tasks of database management. Powered by Oracle's autonomous database technology, it uses machine learning to simplify operations, improve performance, and enhance security, making it an ideal solution for data analytics and business intelligence.

"Manage Your Data"

Oracle Analytics Cloud

Oracle Analytics Cloud (OAC) is a comprehensive cloud-based analytics platform that provides businesses with advanced tools for data analysis, visualization, and reporting. It enables users to discover insights, make data-driven decisions, and collaborate effectively through an intuitive and highly customizable interface. OAC integrates seamlessly with Oracle's suite of applications and databases, including the Oracle Autonomous Data Warehouse, and supports data from multiple other sources.

"Report Your Data"

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Why Choose NSAW?

NSAW vs. Saved Searches/SuiteAnalytics

While NetSuite offers tools like Saved Searches and SuiteAnalytics for reporting, NSAW offers several advantages:

Broader Data Access: NSAW consolidates data from multiple platforms, while Saved Searches are primarily confined to the NetSuite ecosystem.
User-Friendly Interface: NSAW’s pre-built models and intuitive interface make it easy for non-technical users to access and analyze data, whereas Saved Searches require more technical knowledge to do the same level of comprehensive analysis.
Speed: NSAW separates transactional data from reporting systems, enabling faster analysis, and reducing the complexity of running reports.

NSAW vs. Typical Data Stacks

Many businesses rely on separate platforms like FiveTran for data extraction, Snowflake for storage, and PowerBI/Tableau for visualization. However, this approach can lead to complexity, higher costs, and slower time-to-value. Here's how NSAW stacks up:

All-in-one Solution:

Businesses often opt for platforms like FiveTran (ETL), Snowflake/BigQuery (data warehouse), and PowerBI/Tableau (visualization), which requires integration between multiple tools to handle the full analytics workflow. This can lead to complex configurations, separate vendor relationships, and higher costs.

NSAW, on the other hand, integrates all of these functions into a single platform, reducing complexity and overhead.

Pre-Built Data Models:

NSAW comes with pre-configured, optimized data models (including Kimball star schemas, the defacto standard for data modelling) that allow businesses to start analyzing data immediately. With FiveTran, Snowflake, and PowerBI/Tableau, businesses must build these models from scratch or rely heavily on consultants, which can take months, if not years to fully come to fruition.

Time-to-Value:

NSAW’s pre-built components and user-friendly design allow businesses to generate insights in 24 hours, significantly faster than stitching together solutions like FiveTran/Snowflake/BigQuery, which often require months of setup and configuration.

Lower Total Cost of Ownership (TCO):

Integrating multiple vendors for data ingestion, storage, and reporting can lead to a higher total cost of ownership with solutions like FiveTran, Snowflake, and PowerBI/Tableau. NSAW’s integrated approach simplifies your tech stack and reduces costs.