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
- +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.
- −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
Countries & Languages
Interface languages
Billing currencies
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About Piano DMP
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Piano DMP Details
Piano DMP's In-App Market Place
Does Piano DMP have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), CHF (Fr), SEK (kr), NOK (kr), DKK (kr), INR (₹), SGD ($), HKD (HK$), KRW (₩), BRL (R$), RUB (₽), ZAR (R), MXN ($)
Pros & Cons
- 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.
- 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.
Piano DMP's Support Options
Documentation
https://docs.piano.io/Piano DMP's Alternatives
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