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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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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. Companies often...
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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, analysts must be able to define values for...
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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. Analysts spend an inordinate amount...
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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, potentially on...
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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. In the BI world specifically,...
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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. Efficiently embedding content, interactivity,...
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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. Kubernetes is an...
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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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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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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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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 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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“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. They allow designers to provide a more...
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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. One of the key...
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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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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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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. One...
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Data-driven dynamic tooltips that add even more context to Pyramid dashboards...
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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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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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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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 their...
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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. As organizations adopt...
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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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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. How to share comments on data that...
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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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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. An Italian economist by the...
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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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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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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: 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: 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: 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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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, from the highest level of detail down to...
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Pyramid 2020.20 Issues Addressed
The following list enumerates all the main bug fixes in the 2020.20 version. Back to Pyramid 2020.20 release announcement Model Fixed an issue where unexpected results were returned in Discovery...
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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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Creating Parent Child Hierarchies
Pyramid excels in its’ native support for parent-child hierarchies, automatically generating hierarchical structures and providing fluid, intuitive reporting. Parent child hierarchies are used to...
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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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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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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 specific...
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Numeric Formatting in Pyramid
Static data format masks, used to format values in analytics) is a standard feature in most BI applications. However, data-driven formats, which change formats per value item, are anything but...
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Actionable Analytics & Custom Workflows
Pyramid’s Custom Workflows provides users with new collaborative options from within the analytics platform for delivering actionable analytics that go beyond classic conversations and annotations....
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Multi-Factor Authentication
Multi-Factor Authentication Pyramid’s built-in multi-factor authentication (MFA) option adds a rock-solid layer of security to your BI application if your authentication provider does not offer it....
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Multiple Chart Types in a Single Report
Pyramid lets users display multiple value metrics in a single report, each with its own graphical visualization, providing greater flexibility in displaying analytic content. Pyramid has had...
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Custom Data Connectors
Pyramid provides administrators the ability to self-configure connectors for almost any JDBC data source, providing users access to these data sources. As more applications and databases are...
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Troubleshooting User Setup and Access Issues
Administrators occasionally need to check complicated settings and security structures for users. Sometimes the easiest and most reliable way to do so is to simply log in as that user. Pyramid...
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Custom Subtotals
Pyramid provides users flexibility over how to apply subtotals in a multi-dimensional matrix grid—using a simple point and click interface. Adding subtotals to a table or grid enables users to...
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Persisting Visualization Colors
Pyramid’s persistent color feature maintains the same color in all visualizations for selected data elements, even after slicing or removing items from a chart. Analysts often use specific colors to...
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Parent-Child Hierarchy Security
Pyramid offers flexible, intuitive security for parent-child hierarchies, providing role-based control over how members are viewed and aggregated within hierarchies. Implementing parent-child...
View ArticleNew Features – 2020.23
Pyramid version 2020.23 is primarily a maintenance release addressing identified issues. However, it also delivers several new features. (Some of these are included as beta features). New...
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