Automated Data Management for Analytics and AI
TimeXtender is an integrated data management platform that enables building data lakes, warehouses and marts 10x faster by providing a no-code environment for automating data modeling, integration, extraction, cleansing, loading, and documentation.
TimeXtender provides data automation for 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
• 200+ 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
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
Semantic Models offer consistent data access to casual users:
With TimeXtender 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, TimeXtender 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
For Norwegian wealth management company Formuesforvaltning, doing things the right way is the only way. This philosophy applies from its customer-facing side right through to its approach to safe, secure and streamlined data and information management.
A Dutch care organization provides emergency social care for vulnerable patients in and around one of the major cities in the Netherlands. To speedily and accurately identify areas of need, it looked to overhaul the way it handled patient data.
An international online photo service provider, Ifolor AG, gives customers the ability to personalize and customize unique photo products. However, with growing bouts of digitalization and constant changing of sales channels, Ifolor AG required a data platform that could allow them to easily, quickly and more effectively gather important customer information.