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What is dataPARC Historian?

Harness the complete capabilities of your organization's time-series data through the dataPARC Historian. This innovative solution enhances data management by ensuring seamless and secure data movement throughout your enterprise. Its architecture is designed for straightforward integration with AI, machine learning, and cloud technologies, which fosters creative adaptability and richer insights. With rapid data retrieval, sophisticated manufacturing intelligence, and the ability to scale, the dataPARC Historian emerges as the premier option for companies aiming to excel in their operations. It transcends mere data storage; it is about converting data into actionable insights with remarkable speed and accuracy. The dataPARC Historian is distinguished as more than just a data storage solution. It equips organizations with the flexibility to leverage time-series data more effectively, ensuring that decisions are well-informed and impactful, supported by a platform celebrated for its reliability and user-friendliness. Additionally, its ability to adapt to changing business needs makes it an invaluable asset for future growth and innovation.

What is Robyn?

Robyn is an advanced, open-source tool for Marketing Mix Modeling (MMM) developed by the Marketing Science team at Meta with a focus on experimental applications. Its primary goal is to support advertisers and analysts in creating comprehensive, data-driven models that evaluate the influence of different marketing channels on key business outcomes, such as sales and conversions, while maintaining user privacy through the use of aggregated data. Rather than relying on the tracking of individual users, Robyn leverages historical time-series data by combining marketing spend or reach metrics—including advertisements, promotions, and organic outreach—with performance metrics to assess incremental effects, saturation levels, and carry-over dynamics. The tool employs a blend of traditional statistical methods and innovative machine learning techniques; it utilizes ridge regression to address multicollinearity in complex models, executes time-series decomposition to separate trends from seasonal variations, and applies a multi-objective evolutionary algorithm for optimization purposes. This cutting-edge methodology empowers businesses to achieve a deeper understanding of their marketing performance, enabling them to make data-driven decisions founded on solid analysis. As organizations increasingly prioritize data-driven strategies, tools like Robyn will play a crucial role in enhancing marketing effectiveness and driving growth.

Media

Media

Integrations Supported

AVEVA PI System
App Orchid
Braincube
Facebook
Facebook Ads
FactoryTalk Optix
Ignition SCADA
Instagram Ads
Meta Ads
Meta Pixel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
TrendMiner
Uptake
Visual KPI

Integrations Supported

AVEVA PI System
App Orchid
Braincube
Facebook
Facebook Ads
FactoryTalk Optix
Ignition SCADA
Instagram Ads
Meta Ads
Meta Pixel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
TrendMiner
Uptake
Visual KPI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

facebookexperimental.github.io/Robyn/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Manufacturing

Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Categories and Features

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