ZAP Data Hub’s pre-built reporting solutions are the fastest, most cost-effective way to get accurate, trusted reporting from the most widely used ERP, CRM, and finance systems.
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ZAP Data Hub automates data collection, data modeling, data integration, and the creation of a data warehouse and semantic layer. Data governance is built-in and everything is delivered via a flexible platform and standards.
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Smart data connectors for ERP, CRM, finance systems, and databases
Pre-built, optimized, analytical data models for reporting
Logical caption-based metadata approach
Built-in data type detection and profiling
Automatic detection of relationships between data
Report from ZAP Data Hub with BI tools including Tableau and Power BI
View all supported data sources
ZAP Data Hub automates data collection from ERP, CRM, finance systems, databases, files and more. It delivers high-speed, stable data migration for even the largest and most complex data sets. The ZAP Data Gateway creates a persistent, two-way connection across networks, firewalls, and realms to ZAP Data Hub from each data source.
ZAP Data Hub has pre-built analytical data models for BI reporting. Its metadata-driven approach pairs familiar business terminology with an easy-to-use graphical interface.
ZAP’s pre-built data models define the underlying star schema structure of both the data warehouse and semantic layer that it automatically generates by designing fact and dimension tables, using many different transformations. The model optimizes the data warehouse and creates all necessary keys, indexes, and relationships for reporting — either directly against the data warehouse or the semantic layer. Proactive alerting, real-time warnings and error reporting are included. And usability is enhanced by having one screen for both the data warehouse and the semantic layer.
ZAP Data Hub automates ELT processes and data warehouse builds via an automated, step-by-step series of user prompts. ZAP Data Hub delivers a two-tier warehouse structure (staging, and modern data warehouse) with self-generated data migration routines and in-warehouse ELT transformations. Other features include data type detection, profiling, automated and rapid data migration, and incremental refreshes.
With a caption-based metadata approach, ZAP Data Hub’s automated semantic layer features cross-ledger querying, hierarchies, and aggregations and materialized calculations (allowing you to deploy logical measures into the model).
Users can interrogate the data warehouse and work with complex data sets using familiar terminology from the data source.
ZAP Data Hub’s automated data integration detects relationships between data sets and recommends integrations – which are either approved or refused via a graphical interface – before being processed.
Other automated data integration features include per-table and per-column mapping, data profiling and recommendations, automatic merging of tables, multi-threaded and/or parallel migrations, and incremental loading and updating.
ZAP Data Hub’s built-in administration controls allow users to audit and log all aspects of data governance and security, from password and access control to reconfiguring mismatched data definitions.
Enterprise-class controls set security permissions, regulate access and protect data at any level of granularity, while data governance is controlled at four separate levels: user, resource, warehouse data, and cell data. Data lineage is governed separately, with history tracking, auditing and monitoring also included.
The platforms and standards on which ZAP Data Hub is based assure both its reliability and its feature-rich capabilities.
ZAP Data Hub’s resource-based approach is reusable and highly flexible. Pipelines, scripts, security roles – and even data sources and data models – can all be treated as resources that can be moved, copied, pasted, exported and imported. And multi-lingual functionality allows users to automatically translate pipelines, fields, and values from a data source augmented with their own specific integrations.
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