Piano DMP logo

Piano DMP

by Piano · Since 2016
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ActiveAvailable globallyCloud
Quick facts
VendorPiano
Year launched2016
StatusActive
Location111 S Independence Mall E Suite 950, Philadelphia, PA 19106, US
Countries servedGlobal
Languages12
Integrations1+
Free tier
Free trial
Contact salesYES

About Piano DMP

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Piano Analytics is a powerful, enterprise-grade data management and analytics platform designed to offer deep, real-time insights into user behavior across a wide range of digital environments. Formerly known as AT Internet, the software stands out for its ability to unify data collection from websites, mobile apps, backend systems, and even IoT sources, enabling businesses to form a cohesive and comprehensive view of customer interactions. Unlike traditional analytics tools that offer surface-level tracking, Piano Analytics specializes in preparing and enriching data rapidly—often within two minutes of ingestion—making it ideal for organizations seeking agile, data-informed decision-making. Its focus on high performance, privacy compliance, and data transformation positions it as a sophisticated solution for companies that prioritize both data quality and regulatory standards. The platform interface, while not extensively detailed in visual terms, is known to provide robust data visualization tools and customizable dashboards, although some users have found certain areas like filtering dimensions or building dashboards less intuitive. This implies a slight learning curve, especially for first-time users or those transitioning from more simplified analytics platforms.

Pros & Cons

What users like
  • +Unified, Cross-Platform Data Collection: Gathers data from web, apps, IoT, and backend systems—ideal for omnichannel environments.
  • +Customizable Processing Rules: Modify data pre- and post-ingestion without altering tagging, offering flexibility and control.
  • +Real-Time Availability: Data is cleaned, enriched, and ready for analysis within two minutes of ingestion.
  • +Privacy & Compliance: Actively adheres to GDPR, HIPAA, ISO 27001, and other global standards.
  • +Advanced Media Tracking: Built-in support for video and time-based content with detailed engagement metrics.
  • +Semantic Indexing: Automatically extracts metadata from content for deeper insights without manual tagging.
  • +Industry-Specific Datasets: Tailored analytics for commerce, media, marketing, and subscription-based businesses.
  • +Robust Governance Tools: Includes access control, data classification, and integrity monitoring.
  • +Proven Results: RTÉ increased engagement by 49% after adopting Piano Analytics2.
What users flag
  • Complexity for Smaller Teams: The breadth of features may be overwhelming for organizations without dedicated analytics staff.
  • No Pricing Transparency: Cost details are not publicly available, requiring direct contact for quotes.
  • Learning Curve: Advanced customization and governance features may require training or onboarding support.
  • Heavy Reliance on Tagging: While flexible, the system still depends on accurate event-based tagging for optimal results.

Features

Key features

Unified Cross-Platform Data Collection
Gathers data seamlessly from web, native apps, IoT devices, backend environments, and off-site sources into a single platform.
Real-Time Data Availability
Makes all collected data ready for analysis within two minutes of ingestion, providing immediate insights.
Comprehensive Compliance
Actively adheres to stringent global privacy and security standards, including GDPR, HIPAA, e-Privacy, and ISO 27001.
Semantic Content Indexing
Automatically crawls and ingests content profile data (people, places, events) from published digital content, providing an automated "fingerprint" beyond manual tags.
Customizable Data Transformation & Processing Rules
Allows users to modify collected data and apply various rules (e.g., bot exclusion, enrichment) without altering original tagging.
Industry-Specific Enhanced Datasets
Provides specialized datasets for industries like commerce and multimedia, enabling granular analysis (e.g., impression-level ROAS, subscription behavior correlation).

Additional features

Unified Data Collection
Collects data from various sources (web, native apps, IoT, backend, off-site).
Cross-platform, Cross-device, Cross-site Collection
Gathers data from multiple digital touchpoints.
Customizable Processing Rules
Allows modification of collected data without changing tagging.
Scalable Data Processing
Designed to handle increasing volumes of data.
Data Transformation and Improvement
Enables modification and enhancement of collected data.
Compliant Collection
Adheres to global privacy and security standards (GDPR, HIPAA, e-Privacy, ISO 27001).
Two-Minute Data Ingestion to Analysis
Data is ready for analysis very quickly after collection.
Cleaning and Standardization of Data
Ensures data quality from any source.
Exclusion of Bots
Filters out bot traffic for more accurate analytics.
Data Enrichment (Geolocation, Device Detection)
Adds contextual information to collected data.
Application of Processing Rules
Applies predefined or custom rules to data.
Business Analytics Calculations
Automatically calculates standard metrics like traffic sources, visits, and visitors.
Universal JavaScript SDKs
Supports data collection from web environments.
Device-Specific SDKs
Provides SDKs for various devices including smart speakers, connected TVs, and IoT.
Expanded Device Library Support
Continuously adds support for new devices for data collection.
Complete Semantic Indexing of Digital Content
Automatically analyzes and extracts context from text content.
Automated Content Fingerprint
Provides a detailed profile of digital content without manual metadata.
Video and Time-Based Media Tracking
Monitors user engagement with video and other time-based content.
Built-in Video Events
Captures specific events like playing, paused, or buffering for video content.
Correlation of Video Data
Links video viewing and quality of service data with other metrics.
Enhanced Industry-Specific Datasets
Offers specialized data for commerce, AV/multimedia, marketing, attribution, and ROAS.
Impression-Level Ad Revenue Understanding
Allows analysis of revenue generated by individual ads.
Subscription Status Correlation
Links user subscription status to their behavior.
Revenue and Churn Forecasting
Provides data for predicting future revenue and user churn.
Holistic Audience Analysis
Offers a complete view of the audience for various purposes.
Content Recommendations
Supports data-driven recommendations for content.
Audience Targeting
Enables precise targeting of audience segments.
Audience Segmentation
Allows for dividing audiences into meaningful groups for analysis.
Cross-Reference and Data Enrichment (Import Data)
Users can import their own data (e.g., content catalogs, CRM profiles, product catalogs) for richer analysis.
Event-Based Tagging
Captures user interactions as events with contextual properties.
Robust Data Integrity Tools
Includes Stream Inspector, Tag Inspector, and Alert Monitoring to ensure data quality.
Data Governance Tools
Provides administration, naming, classification, and flagging tools for data model management.
Tailored Access Rights
Allows definition of specific data and feature access for different users/teams.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
12
Interface languages
19
Billing currencies

Interface languages

EnglishGermanSpanishFrenchItalianPortugueseDutchSwedishJapaneseKoreanChinese (Simplified)Chinese (Traditional)

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇨🇭CHF🇸🇪SEK🇳🇴NOK🇩🇰DKK🇮🇳INR🇸🇬SGD🇭🇰HKD🇰🇷KRW🇧🇷BRL🇷🇺RUB🇿🇦ZAR🇲🇽MXN

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