Sage 300


A fully integrated data management and analytics platform for Sage 300.

A pre-packaged Sage 300 data model enables fast deployment and quicker time-to-value. Flexible modeling functionality and an intuitive user interface simplifies configuration.

Pre-set connectors collect and merge data from other applications with Sage 300 data, providing a central hub of business-wide insight.

Enterprise-class, role-based dashboards with best-practice KPIs and calculation are available out-of-the-box. Users can discover insight via a dynamic interface that encourages them to drill down, up and through explore data.

Pre-set, fast to deploy, flexible and scalable

ZAP BI has an easily customized pre-set data model and packaged analytics for Sage 300. Ready to go, out-of-the-box, ZAP BI removes the need for manual data warehouse projects. Implementation is fast. Businesses quickly start to leverage their data to generate insight and drive business success.

Deployed on cloud, on-premises or in a hybrid model, ZAP is scalable and flexible to change to the needs of the business. Whether adding new systems to existing IT infrastructure or through acquisitions, the process of integrating new data sources is simplified. This enables strong data governance and accurate insight to be maintained however the business grows.

A central hub for data from across the business

ZAP BI has smart data sources and pre-set connectors to many business applications and data sources. Data is collected, organized and combined into a trusted central data hub for the extraction of accurate insight. Data sources are added easily, enabling continuous enhancement of the information consumed by the business.

Automatic data merging capabilities mean ZAP BI automatically combines Sage 300 databases that store individual company data. By simply adding a new Sage 300 data source connection, ZAP BI automatically maps tables, columns and merges them in the central hub. This provides the ability to report accurately across companies. Additional consolidation and currency conversion features ensure aggregated data is correct.

Flexible data modeling capabilities

ZAP BI’s easily customized pre-set data model for Sage 300 is extremely flexible. Sophisticated data modeling functionality is accessed through a user-friendly interface. Users are guided through steps to adapt data models to meet even the most complex requirements. There is no need for technical specialists and in-house data experts.

ZAP BI automates the migration of data from any source, data warehouse creation, and configuration, as well as Extract, Load, Transform (ELT) processes. It also automates multi-dimensional database createion to enable data aggregation, cross-functional analysis, hierarchies and additional metadata.

High levels of data governance, built in

Strong governance of data security, quality and usage is delivered out-of-the-box as standard. Four security layers and sophisticated permissions functionality provide control of access to data and information.

System administration is managed through a graphical interface. Usage auditing dashboards enable optimization for performance and hardware planning.

Business continuity during upgrade cycles is aided by a lifecycle management tool-set. Consistency of data and other assets is checked via a simple user interface that highlights discrepancies. Batch validations and remapping of resources speed up the upgrade process.

Enterprise-class analytics

ZAP BI comes with easily customizable pre-set, role-based dashboards and analytics. Out-of-the-box, best-practice KPIs and calculations enable instant access to business performance measurement across all functional modules, from finance to distribution and manufacturing.

Dashboards and analytics are configurable via click and drag functionality in the user interface. All elements including, charts, graphs, pivot tables, calculations, and reports can be saved, re-used and shared.

A dynamic user experience allows unlimited drill through options across all information. Users can explore underlying data and relationships across different analytics to uncover further insight.