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Data-Driven Decisions Engine- New Features Announcement

QUALCO |

Qualco is pleased to announce the achievement of a major milestone in the rolling release schedule of Data-Driven Decisions Engine (D3E), the end-to-end analytics workflow automation platform.

This milestone, marked by the general availability of D3E version 4.0.41, contains a host of new features developed, validated and promoted to production use under the banner of this year’s major release.

Among them:

  1. Extensive infrastructure work to support running transparently over both Hadoop 2 and Spark – the two major “big data” execution technologies of the day – resulting in greater flexibility and significant performance improvements.

  2. Ubiquitous use of tagging in the user interface, to identify items and configure the flow of data transformations.

  3. Extension of the data quality and business logic validation functionality with the ability to identify and display examples and counterexamples, in addition to aggregate summaries.

  4. Ability to use business logic expressions for filtering modelling datasets in a fully configurable manner, greatly increasing model generation and validation flexibility.

  5. Ability to use the same expressions, along with tagging, to generate complex modelling dataset features.

  6. Enhanced usability of the multidimensional component of the system’s data warehouse, through the ability to configure the subset of attributes it contains, customise translations, and define hierarchies.

  7. A new SQL Management Studio plugin to allow the use of D3E metadata directly in ad hoc queries, regardless of their mapping to physical database fields.

  8. Extensions to the product’s automated testing infrastructure, including dozens of new automated tests for recent modelling functionality.

  9. Preconfigured connectivity with Qualco Collections an Recoveries (QCR), the company’s debt operations management platform, including a QCR-friendly dataset specification and preconfigured staging functionality, ensuring that the two systems can interoperate seamlessly in ongoing production use.