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Report Personalization
Pyramid lets users customize and personalize the labels of value metrics and hierarchies for a given data model. These customizations can be set for all sessions (present and future) or to a…
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Automated Key Driver Analysis
Pyramid’s AI-driven “Explain” feature allows users to dig directly into their source data with a single click, giving them faster insights into key drivers and influencers through automated analysis,…
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Maintaining Data Models
Data modeling is now central to all business analytic processes as companies embrace the “Decision Intelligence” paradigm. Delivering advanced data modeling options in a self-service framework is…
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Creating Parent Child Hierarchies
Pyramid excels in its’ native support for parent-child hierarchies, automatically generating hierarchical structures and providing fluid, intuitive reporting.…
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Cumulative Totals
Pyramid provides time-based cumulative measures as a method for aggregating non-additive values on a cumulative basis in a data model, allowing users to solve analytical problems typically found in…
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Implementing row level security on any database
Row-level or ‘Member-level’ security is a fundamental requirement in most analytic projects controlling which data items different users can view and analyze,…
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Time Intelligence: How date lists and ranges accelerate insights
This is the fifth blog in the series on how Pyramid brings time intelligence into analytics. In my previous blogs, I demonstrated how Pyramid provides automatic date parameters to interrogate…
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Time intelligence: Custom calculations for greater perspective
This is the fourth blog in the series on how Pyramid brings time intelligence into analytics. My previous posts on time-intelligence covered Pyramid’s powerful and automatic date-time calculation…
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Time intelligence: Date-time calculations made simple
This is the third blog in the series on how Pyramid brings time intelligence into analytics. As covered in my previous blogs on time-intelligence, adding date-time groupings into your data makes the…
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Time intelligence: Date-time groupings for better visibility
This is the second blog in the series on how Pyramid brings time intelligence into analytics. In my previous blog post, I introduced the concept of grouping amounts in data periods by adding date…
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Time intelligence: A critical element in all analytic projects
This is the first blog in a series on how Pyramid brings time intelligence to analytics. The two core challenges Date-time groupings and “buckets” Central to most analytic systems is the requirement…
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Calculating differences without code
In part 3 of my blog series on contextual calculations (see part one and part two), I cover the powerful ability to calculate differences between current and previous row values for a metric and…
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Pareto Analysis: Using the 80/20 Rule
In this second post on my three-part series on contextual calculations, I examine how Pyramid can quickly create business calculations like Pareto with just a few clicks.…
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Stop Writing Code: Running Totals Made Easy
In this part 1 of my blog series on contextual calculations, I explore running totals in Pyramid. Running or cumulative totals allow business users to see how different metrics add up from the first…
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Amplify your feedback: Pervasive Collaboration with Pyramid
In part 2 of my blog series on analytic collaboration, I cover the powerful ability to comment and annotate data models without specific reports or dashboards.…
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Actionable data insights in minutes—not hours
How to share data with colleagues with your comments on specific data Effective collaboration by multiple stakeholders is very difficult to achieve when all members utilize a desktop version for…
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Learn and predict with Python and Pyramid
Today, more businesses are using machine learning (ML) to perform business predictions. They rely heavily on their small team of data scientists to drive these initiatives.…
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Forecasting with Python and Pyramid
Forecasting is an indispensable requirement for any modern organization looking to gain a competitive edge. To do it well, today’s companies need the flexibility to adjust algorithms and define…
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Fine tune your forecasts with advanced controls
In a previous blog, I discussed Pyramid’s unique forecasting capabilities, which give users the ability to choose from among eight algorithms to produce forecasts within existing reports and…
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Comprehensive forecasting with Pyramid
Forecasting is a machine learning technique that uses historical data as inputs to determine expected future trends. Forecasting forms the basis for developing business strategies that include…
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Data-driven dynamic tooltips that add even more context to Pyramid dashboards and reports
In analytics and BI applications, a tooltip can be an invaluable mechanism to display informational text when hovering a mouse cursor over a graphical item on a screen, dashboard, or report.…
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How to deploy enterprise-grade “Virtual” Python environments using Pyramid
Python is one of the world’s most popular programming languages, used ubiquitously for machine learning and AI projects, with a plethora of open source free programs and projects added daily.…
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Data driven messaging to tell a better analytic story
Data-driven text, like data-driven infographics, can help users better learn and understand new information. Data-driven text and messages can communicate analytical insights more effectively and…
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First-class Python integration in Pyramid
Python has rapidly become developers’ top choice for machine learning and deep learning projects. Machine learning allows users to feed massive amounts of data into a computer algorithm to get…
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How to deliver outstanding analytic performance and scalability on Exasol
Exasol is a scalable in-memory analytical database that can be run across multiple nodes. It provides an analytical solution for large databases that need to operate from memory.…
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