Discovery Hub®: Faster, easier analytics with automation

Discovery Hub®

Data automation
for analytics
and AI

Discovery Hub® provides data automation and capabilities for data access, modeling and compliance. Discovery Hub® delivers cohesive data fabric across Microsoft on-premise technology and Azure Data Services for analytics and AI.

Komatsu TimeXtender Case StudyKomatsu deploys data estate to Microsoft Azure and enables instant access to data with TimeXtender’s Discovery Hub®

Komatsu Australia offers its customers products, parts, and services for a full range of earthmoving, mining, construction and utility equipment. As a fast-moving organization and early cloud adopter with multiple data sources, a system was required to receive instant access to data for real-time visibility into operations.

Pandora_Case_Thumbnail-01PANDORA maintains its global market with controlled data operation provided by TimeXtender’s Discovery Hub®

Danish jewelry company PANDORA offers its customers fashionable, hand-finished pieces at affordable prices. But to help maintain its rapid growth from a single Danish store to over 2,400 concept stores globally, it required a controllable way to access and analyze the increasingly large volumes of company data.

TimeXtender’s Discovery Hub® Advances Direct Relief’s Charitable Operations

End-to-End data management solution provides good data to help relieve global pain and poverty.

Discovery Hub® helps healthcare network transform utilization of staffing resources and facilities

As one of the largest healthcare providers in the US, this network required a scalable and manageable data estate to support rapid growth and allow for more streamlined analytics.

Financial Services TimeXtender Case

A North American Banking Conglomerate Turns to TimeXtender’s Discovery Hub® for Help Automating Revenue Reporting Processes

The North American branch of this global banking conglomerate offers a variety of services to its customers. However, with the constant growth of its offerings, a data management platform was needed to better track revenue


Discovery Hub® automates the creation of three
types of data platforms for analytics and AI

Operational Data Exchange (ODX) builds your data lake:

In the ODX, connect to data from all sources by gathering data in its raw form, without any data manipulation or cleansing. The strength in this approach is the ability to connect to ever-growing and ever-changing data from many sources. In the end, all data is in one place, with all users using one source to access raw data.

• Raw Data
• Power Users
• 100+ Data Connectors
• Azure Data Lake or DB
• Foundation for AI

The performance wasn’t even comparable with the past. We were refreshing data once a week because it took two days to refresh. If the extraction from our system started on Friday it would be finished on Sunday, so by Monday morning, we could load the compiled data. Yet, demonstrations with Discovery Hub® showed, it could do in two hours what had taken us two days.

DAS Italia

Planning and Controlling Manager

Build a Modern Data Warehouse (MDW) from ODX data:

In the MDW, data is improved, enriched and consolidated. With the MDW, data quality issues can be resolved one time. Similar data from different systems can be rationalized to create golden records. The MDW also preserves historical data as data and source systems change over time.

• Governed Data
• Business Users
• Single version of the truth
• Cleansed & Enriched
• Historical Records

With TimeXtender, we were able to look at our data and immediately organize it all with common names that ensured all our systems were talking to each other. We built a model to bring together all our data sources, programs, products, and events. This allows us to run multiple applications on one platform and retrieve the information we need with one click.

Direct Relief

Director of IT and Quality

Semantic Models offer consistent data access to casual users:

With Discovery Hub® Semantic Models, governed models are defined once to deliver data in the right form and context to any visualization tool, including: Power BI, Tableau and Qlik, making it easy for all users to understand the data they work with. Because there is a shared data model, all users see the same data regardless of visualization tool. By generating semantic models, Discovery Hub® helps future-proof your data management strategy, with the ability to support multiple visualization tools or easily switch between them.

• Governed Models
• Casual users
• Relevant Data
• One model for multiple front-ends