Built-in connectors provide connectivity to sources e.g. REST, Oracle DB, CSV. The sources are scanned and delivered as feeds.

The design methodology allows data to be loaded independently of the strucure. This allows a parallel loading of the Agile Stores.

The data path from source to the agile stores are layed out beautifully through a visual design.

Source Data is stored before they are digested. Should the source be replaced or Agile Stores be redesigned from scratch, source data can be reused again and again.

Incoming feeds from sources are loaded in parallel, since there are no required data dependencies on the loading mechanism.

Sources underlie the separation of concerns, only giving the dedicated data domains access to its data.

Enjoy designing your data structures as never possible before. The advanced modelling methodology based on the 6th NF and typed agile elements elevates the data warehouses to a new level. From tiny Agile Elements to massive Data Domains, all you need to design a data warehouse.

Agile Data Elements are the core of an Agile Store. Anchors, Attributes and Ties allow design of any needed and desired structure.

Once deployed, the existing structure can be changed on-the-fly. True unintrusive structure changes without compromising the existing data in the structure.

Agile Store is the core entity for storing Agile Elements. An Agile Store typically represents a closed single business sub-entity.

The design is web-based, using modern responsive browser components to ease the creation of new structures.

Data Domains group Agile Stores into a cohesive group representing a business entity. A Data Domain also protects the data.

The Access Rights are based on the incoming source, element, store and domain level, allowing a fine grained hierarchical control of access management.

The Agile Elements allow the construction of every imaginable structure, there are no limits on data warehouse design. All existing data warehouses are subsets of this design method.

Attribute properties are extended naturally on time components catching record, happening, update and valid dates. Time series and past, present and future is covered fully with these temporal attributes.

Data domain views can be shared outside of the domain for further consumption.

Stacked Data Marts provide several integrty checks, to assure that only available and mandatory data form a holistic view. The same integrity rules as in the agile stores apply on a higher level.

Shared data from several data domains can be stacked to create new data views – data marts – containing cross-domain data and generating higher levelled information.

The creation of Data Marts is easy and intuitive following the same web-based design concept as the agile stores design.

A fast and modern user interface your users will love. Based on Google Material Design trend.

Use the company user directory to ease user system access.

Built-in roles and access-rights for data from Element Level to Data Mart level

Trace your Data from Source to consumer and understand its transformation along the path.