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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.
Gathers data seamlessly from web, native apps, IoT devices, backend environments, and off-site sources into a single platform.
Makes all collected data ready for analysis within two minutes of ingestion, providing immediate insights.
Actively adheres to stringent global privacy and security standards, including GDPR, HIPAA, e-Privacy, and ISO 27001.
Automatically crawls and ingests content profile data (people, places, events) from published digital content, providing an automated "fingerprint" beyond manual tags.
Allows users to modify collected data and apply various rules (e.g., bot exclusion, enrichment) without altering original tagging.
Provides specialized datasets for industries like commerce and multimedia, enabling granular analysis (e.g., impression-level ROAS, subscription behavior correlation).
Collects data from various sources (web, native apps, IoT, backend, off-site).
Gathers data from multiple digital touchpoints.
Allows modification of collected data without changing tagging.
Designed to handle increasing volumes of data.
Enables modification and enhancement of collected data.
Adheres to global privacy and security standards (GDPR, HIPAA, e-Privacy, ISO 27001).
Data is ready for analysis very quickly after collection.
Ensures data quality from any source.
Filters out bot traffic for more accurate analytics.
Adds contextual information to collected data.
Applies predefined or custom rules to data.
Automatically calculates standard metrics like traffic sources, visits, and visitors.
Supports data collection from web environments.
Provides SDKs for various devices including smart speakers, connected TVs, and IoT.
Continuously adds support for new devices for data collection.
Automatically analyzes and extracts context from text content.
Provides a detailed profile of digital content without manual metadata.
Monitors user engagement with video and other time-based content.
Captures specific events like playing, paused, or buffering for video content.
Links video viewing and quality of service data with other metrics.
Offers specialized data for commerce, AV/multimedia, marketing, attribution, and ROAS.
Allows analysis of revenue generated by individual ads.
Links user subscription status to their behavior.
Provides data for predicting future revenue and user churn.
Offers a complete view of the audience for various purposes.
Supports data-driven recommendations for content.
Enables precise targeting of audience segments.
Allows for dividing audiences into meaningful groups for analysis.
Users can import their own data (e.g., content catalogs, CRM profiles, product catalogs) for richer analysis.
Captures user interactions as events with contextual properties.
Includes Stream Inspector, Tag Inspector, and Alert Monitoring to ensure data quality.
Provides administration, naming, classification, and flagging tools for data model management.
Allows definition of specific data and feature access for different users/teams.
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Does Piano DMP have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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Documentation
https://docs.piano.io/TraceDock is a Customer Data Platform from CM.com that helps users understand the customers as…
DroneBase is a drone data software platform from DroneBase that provides aerial imaging solutions for…
WeighMAST is a weighing management software from Agrimaster designed for agricultural businesses. It provides accurate…