Streamline your data management process with the NetSuite + Looker integration

NetSuite is a business management software, which also includes an ERP (Enterprise Resource Planning) solution. NetSuite is a scalable solution, suitable from companies from midsized businesses to large enterprises. NetSuite manages the entire organization processes, including financial, asset, revenue, order, supply chain, and inventory management.

NetSuite offers multiple benefits that can be exploited by users who use it, for example, the first benefit is the scalability in terms of functionality because NetSuite allows you at any time to expand its functionality by having complete customization through full compatibility between releases. The second NetSuite's benefit is given by the scalability in terms of infrastructure and managed volumes, guaranteed by the use of an S.a.a.S. that allows, through the adoption of the most modern technologies, to have a system always correctly sized.

An excellent reason to use NetSuite is certainly the automation services. NetSuite offers these services that can cover any aspect of sales processes (including billing and invoicing) and include project management and accounting systems, the management solution expenses, and a reliable analysis platform that provides advanced and detailed performance and forecast data. Surely a massive plus for a Business Management Software.

Looker is a cloud-based Business Intelligence (BI) platform designed to explore and analyze data. The solution allows companies to acquire and analyze data from multiple sources and make data-driven decisions.

Looker offers corporate teams the ability to analyze supply chains, digitally market, quantify customer value, interpret customer behavior, and evaluate distribution processes. Users can also "view the source" to understand how the data they are viewing is manipulated. Dashboards allow you to present data and insights using customizable graphs, charts, and reports.

With Looker's data modeling language, users can define data metrics and explore relationships between various data sets. The storytelling feature allows users to present data analysis to stakeholders through data-rich visualizations.