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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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“Guided” Analytics using Pyramid
Use Guided Actions to create customized navigation elements “Guided actions” are a convenient and effective means of extending the classic flow of analytics.…
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How to build an “analytics lake” using Cross Model Mapping
Analysts building dashboards reach an impasse when attempting to combine visualizations from different data models (for example, a sales analysis from an SAP-based data model and marketing KPIs from…
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2020.10 Feature Focus: Content Migration Tools
2020.10 is the latest release from Pyramid Analytics. It extends the functionality introduced in our major 2020 release. This is one in a series of posts that highlights some of the major new…
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How to build data-driven infographics that tell a better story
Data-driven infographics can be a highly effective way to help users learn new information. The more graphically intuitive an analysis, the quicker and easier it is for users to understand and gain…
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Smart report bursting with triggers and repeaters
As described in my previous blog post, bursting static analytic reports to recipients is still a very common “real-world” requirement—and it’s still a headache for many BI developers and…
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Delivering impact: Report bursting and distribution with Pyramid
Bursting analytic reports to recipients is still a very common “real-world” requirement—and it’s still a “real-world” headache for many organizations who depend on published reports to communicate…
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Dynamic Scaling of Analytics with Pyramid on Kubernetes
Pyramid’s multi-tiered service architecture is a perfect fit for Kubernetes-based container deployment, allowing distinct services to scale and shrink dynamically to match demand.…
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Embedding with native HTML5
Companies increasingly need to include analytical content into their own applications and workflows, instead of having to access a separate application.…
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Hybrid Data Connectivity via Pulse
With increased cloud choices, and distributed servers, it is common for many organizations to have a BI server in the cloud, remote data sources, and end-users in different locations,…
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Smart Insights on ANY Data Source
While a good report turns data into information, artificial intelligence (AI) has the potential to transform information into insights—without human intervention.…
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How dynamic KPIs provide better views into constantly changing datasets
KPIs play a crucial role by providing an instant and intuitive graphic view of a business’s key performance metrics. In order to effectively create KPIs,…
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Gaining control of your data with Master Flows
Data preparation processes (ETL) frequently require workflow capabilities to conditionally trigger other processes and send notifications (email, text, etc.) when a task has completed.…
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Custom Maps and Coordinate Systems
If you load a GeoJSON file as a custom map in Pyramid and do not get any shapes displayed, it could be the coordinate system you are using, especially if you converted another file format to GeoJSON.…
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Pyramid's game-changing NLQ Chat Bot lets users analyze data in whole new way
Chat bots are everywhere these days. While commonly associated with customer experience use cases, their application extends beyond answering basic customer questions.…
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Faster processing and reduced resource consumption with incremental data refreshing
It’s very common for organizations to possess large datasets that only require periodic updates on a smaller subset of the data. In other words, only new data or data that has been recently updated…
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Pyramid 2020.13 Issues Addressed
The following list enumerates all the main bug fixes and minor functional upgrades added to the 2020.13 version. Click here to see the full Pyramid 2020.13 release announcement.…
Blog Articles on functionality & techniques.