Pyramid Analytics
QlikSense
Owler
Whatagraph
Foxmetrics
Looker
Jaspersoft
Tableau
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Pyramid is an enterprise-grade Decision Intelligence Platform designed to seamlessly scale from individual self-service analytics to large-scale deployments. It supports a wide range of capabilities from basic data visualizations to advanced machine learning, catering to diverse user needs. The platform features a universal client for any device and operating system, facilitating installation on various platforms including on-premises and cloud environments, and interoperability with popular data stacks.
Pyramid emphasizes a balance between self-service productivity and governance, serving as an adaptive analytic platform that adjusts capabilities based on user skills. It manages content as a shared resource, supporting organizations throughout their decision workflows and bridging the gap between analytics strategy and implementation.
The Analytics OS includes six core modules (Model, Formulate, Discover, Illustrate, Present, and Publish) alongside administrative and content management tools, providing a comprehensive analytics experience across the workflow.
Pyramid Analytics, headquartered in Amsterdam with global offices, offers the Pyramid Decision Intelligence Platform. This AI-enhanced solution integrates data preparation, business analytics, and data science to simplify data-driven decision-making. It enables direct data operation without extraction, promoting self-service and governance while supporting complex BI needs.
The platform ensures rapid data-to-decision cycles with a no-code, AI-driven approach, supporting direct access to multiple data sources and environments. It facilitates interactive analysis, data visualization, and machine learning for predictive insights. Pyramid's platform is deployable across cloud, on-premises, or hybrid environments, empowering users with AI-guided workflows and natural language interfaces for intuitive analytics.
Pyramid Analytics PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
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Hallmark Empyrean Premier Foods
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Pyramid Analytics is unique due to its unified platform combining data preparation, business analytics, and data science with AI-driven self-service. It offers scalability, performance, strong governance, and a user-friendly experience.
Pyramid Analytics's answer
Pyramid Analytics stands out with its unified platform, AI-driven insights, and ability to handle complex data, empowering users of all skill levels to make informed decisions faster than with other tools.
Pyramid Analytics's answer
Pyramid Analytics targets data-driven organizations seeking a comprehensive, user-friendly platform to unlock insights from complex data, empowering both business users and data analysts to collaborate effectively.
Pyramid Analytics's answer
Pyramid Analytics emerged from a need for a more intuitive and powerful business intelligence solution. It was founded on the principle of democratizing data, enabling organizations to harness the full potential of their data through a unified, AI-driven platform.
Pyramid Analytics's answer
Pyramid Analytics is built on a robust technology stack including:
Based on our record, Pandas seems to be more popular. It has been mentiond 219 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
QlikSense - A business discovery platform that delivers self-service business intelligence capabilities
NumPy - NumPy is the fundamental package for scientific computing with Python
Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies
OpenCV - OpenCV is the world's biggest computer vision library