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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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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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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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2020.10 Feature Focus Datavard Glue: SAP ERP Data Modeling
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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2020.10 Feature Focus: Data Catalog - Toolkit (Part 2)
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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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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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 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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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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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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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.…
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Creating an IMDB Time column in the Model designer
In the current version of Pyramid (2020.10), the Time type column is not supported when creating an IMDB model. As a result, it will appear in a Discovery report but it will not be possible to…
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How to create a Week to Date or Parallel Periods list, for a week that starts on Sunday when using a sql data source
Week to Date, using a specific date: 1. Create a new List in Formulate 2. Drag ‘Week to Date’ into the canvas, choose a date under Pick a Member: 3. Set the Day of the week to start from 7,…
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Creating a Date Time intervals in Data modeling tool
When creating a SQL based model, you can create a time interval column using a custom "Date time" type column (i.e 12:00,12:15,12:30,12:45, 13:00). To do this,…
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Pyramid 2020.10 Issues Addressed
Back to Pyramid 2020.10 release announcement The following list enumerates all the main bug fixes and small features added to the 2020.10 version. Application Fixes and Features Model Fixed an issue…
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Pyramid 2020.02 (Service Pack 2) Addressed Issues
Pyramid 2020.02 (Service Pack 2) release announcement Bug Fixes Admin Fixed an issue where adding users from a CSV file caused duplication Fixed an issue where the Save Shareable Content for a…
Blog Articles on functionality & techniques.