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AtScale Blog

Announcing AtScale 5.0: Rapid Innovation for our Customers

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Today we announced the general availability of AtScale 5.0 and I couldn’t be more excited about the host of great new features that are included in this release.  As we’ve continued to gain traction in a number of industries - ranging from healthcare to retail to financial services to telco to online- we continue to learn from our customers and use these learnings to feed directly back into our product features.  With the release of 5.0, AtScale customers now have an even richer set of capabilities that they can use to derive business insights and value from their Big Data investments.  I’ve included some of the highlights of the release in the sections below.


In the world of business analysis, the ability to understand the relationships between multiple business entities and metrics is critical to analyzing performance and determining the appropriate course of action.  For example, for a health insurance provider it is imperative to understand the relationship between different member populations and the claims-associated treatments they receive, and how the costs of these treatments may vary across member populations.  For a large retailer, understanding how store level performance is aligned with regional performance targets (and across which product lines or stores any variance occurs) is a must-have capability to manage the business.  In financial services, risk analysts must be able to apply a broad range of currency fluctuation scenarios to future cash flows to understand the risk exposure of specific business units.

FIGURE 1:   A multi-fact model in AtScale provides rich support of complex scenarios across industries like retail, healthcare, and financial services.


With the release of AtScale 5.0 we have added broader support for multi-fact models, dimension-associated measures, and multi-level analysis.  With the addition of these features, AtScale customers can now create and analyze complex business measures, like the insurance industry’s Per Member per Month calculation" type of analysis, on even the largest of Big Data sets.


We’ve also added a host of new features making it easier for AtScale cube designers to work with large models (like the slightly obscured model in Figure 2 below - from a real AtScale customer) including very large tables, large complex models, and cubes with thousands of measures and dimensions.

FIGURE 2:   Large Data Set Model Handling5.0_complexmodel.png

Smart column filtering in AtScale allows users to quickly find columns that are used as measures and dimensions, that have specific types, or are unused in the model.

FIGURE 3: Smart Column Filtering


 Additionally, when working with large data sets, cube designers can now easily swap back and forth between “full” and “sample” data sets during cube design.  This allows developers to quickly swap back and forth between the small data sets (while developing and verifying functionality) and the larger data sets (when ready for production deployment and data validation.

FIGURE 4:   Easily Swap between Large and Small Datasets


These new features make it much easier for AtScale users to design, deploy, and manage models of increased complexity without sacrificing usability.


In 5.0, there are significant improvements that make it easier for AtScale administrators to monitor query performance and understand how the AtScale Adaptive Cache is contributing to performance gains.

In the video below you can see how it’s now possible to track an AtScale query from the original BI client back to the underlying aggregates being used.  Additionally, administrators can now view the queries that were required in order to generate the aggregate tables that make up the AtScale adaptive cache.  You can also see in this video is a new capability - aggs on aggs - also delivered as part of AtScale 5.0


With the addition of these new query screen capabilities, improved data warehouse management workflows, updated security management capabilities, and more granular roles and permissions AtScale is now able to support the most demanding of production BI environments.


As you can tell - I am very excited about this release.  It includes significant new features along with the industry’s most scalable dimensional calculation engine, a machine learning performance optimizer, a universal data abstraction layer and enterprise-grade security, governance and metadata management capabilities.

With AtScale, our customers will immediately derive value from the capabilities above continuing to benefit from the industry’s richest business interface for big data:

  • Multi-dimensional Calculation Engine providing the industry’s most scalable computation engine for modeling the toughest business processes.
  • Performance Optimization Engine powered by machine learning to automatically optimize query performance for “speed of thought” analysis.
  • Data Abstraction Layer enabling access to relational and Big Data data sources on-premise and in the Cloud.
  • Enterprise-grade Security, Governance and Metadata Management for providing safe, trustworthy and consistent views of any data for any BI tool or custom application.

I invite you to learn more about AtScale today!

~ Josh


Topics: Business Intelligence, Big Data, olap, BI

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