||Technical Details||What It Means For You|
||Annotations and conversations can now be enhanced by attaching and uploading documents related to the thread. In addition, audio commentary may now be recorded and played back as part of the annotation.
||Qualitative support for the interpretation of quantitative analytics often relies on existing documentary evidence. The ability upload supporting documents and record quick voice narratives greatly enhances the shared understanding of analytic
|SAP Hana and BW Parameters
||We added robust support for predefined SAP HANA and BW parameters when connecting to those models.
||Seamless integration with SAP analytic engines means direct access to models with predefined filters, giving users access to models as defined by the model developer.
|OLAP-Like Multi-level Hierarchies on SQL data|
|New OLAP-like hierarchies offer an expandable hierarchy structure on all supported relational data sources, including Big Data.
||Most users find expandable hierarchies easier to user for querying and ad hoc analysis. It's one of the best features in analytics that is missing from most other platforms for non-OLAP engines.
||Adds calculated columns to the Pyramid Model against the underlying database schema. For example, for on-the-fly time intelligence calculations against date columns, or binning against numeric or categorical columns.
||The ability to extend database schemas dynamically adds powerful tools to the query engine, especially when dealing with Direct Query models. This extends the capability and end user-defined query solutions dramatically and allows further
coverage of analytic scenarios without rebuilding the model.
||The data visualization library has been further extended to include geo heat maps, upgraded KPI gauge styles, and flexible trellising options for multi-charts.
||New geo map and KPI gauge styles further enhance the extensive data visualization library, providing business users more choice on how to analyze their data.
|Enhanced Grid Formatting
||Grids now include scrollable rows and upgraded column and row sizing. In addition, we added the ability to shrink rows and columns, size to fit all grid elements, and customize settings.
||Better control of grid formatting gives a clearer display of analytic results and content, leading to better understanding.
|Slicer and Filter Performance Gains
||We added new server-side search capability, coupled with defined limits on the number of elements to add to a slicer or filter at initialization time. In addition, we added the ability to enable Tree-based slicers to be single select only.
||Limiting the initial element load and server-side searches means that slicers can be scaled almost indefinitely to millions of members. This improves the performance and the functionality in dashboards. A new single-select Tree slice extends
the slicer scope and functionality.
|Formatting of Non- Measure Custom Members
||Custom members in dimensions other than measures can now be numerically formatted, aligning SQL-based models to MDX-based models. Additionally, we provided new “solve order” options for SQL-based custom members to better organize
||Full control of formatting of calculated values means more accurate representations of values in grids and other visualizations—heavily simplifying the way data is digested by business analysts. Calculation ordering ensures mathematical
steps are performed in the right order for multistage calculations.
|Images in Headings and Filters|
|We added support for including images in row and column headers as well as slicers and filters.
||Using images to identify items in row and column headers and filter elements can make identification and selection of elements easier and quicker.
|Alternate Hierarchy Captions
||We now support alternate hierarchy captions for MS OLAP and SAP BW data sources
||Many hidden properties in OLAP hierarchies hide details that help business users navigate the data presented to them. Making them interchangeable, allows business users to tap into these hidden elements.
|Quick Measure Variables
||Create variable lists based on selected measures to simplify the data visualization view and the end user experience.
||This new functionality provides a simple, quick approach to make data visualizations and analysis more dynamic.
|Structure Analyzer to Track Changes to Content and Models
||Changing data models can impact existing reports, dashboards, and publications. The Structure Analyzer option allows you to check your content against changing models and correct mismatches or re-map existing content to the new data model
structure through a simple wizard-based interface. This option has been further enhanced to help users manage updates to calculations defined in Pyramid.
||The cost of changing data model structures on existing analytic content (or changed model structures) can be underestimated, both in terms of content re-development and lost time. The Structure Analyzer minimizes the impact of data model changes,
saving time and effort. The new capabilities extend deeper now to include all calculations.
|Improved User Experience
||New user default settings allow you to control the single-click and double-click actions (as well as gestures on mobile devices) in the user interface. The user settings can be set as standard for all users, or on an individual basis.
||The end user experience is further enhanced with more control on how the business user interacts with Pyramid solutions.
|Custom Visual Improvements
||Improved controls for custom visuals provide the ability to extend the data visualization library using 3rd-party libraries. Once added, the custom visual can be used by all Pyramid users. Improved drop zone configuration options simplify
the creation of custom visuals.
||Data visualization enhances the data analytics process. The ability to create your own data visualizations using industry-standard libraries and add to the extensive Pyramid visual library means you have more control analyzing your data.
|New PQL Functions
||A new set of PQL functions was added to support the new SQL regular hierarchies (“hierarchical semantic”) and advanced formulations in the cross-model interactions (“action common”).
||New functions allow advanced data analysts and BI developers to build smarter business logic and calculations to drive better analytics and better decisions.