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AI data analysis

193 results · Page 5 of 6

Anomaly AI

AI data analysis

Anomaly AI is an AI data analysis tool for large datasets and spreadsheets. It can connect to data sources such as Excel, CSV, GA4, advertising platforms, databases, and data warehouses, automatically complete data quality checks, type identification, deduplication, date format and missing value handling, and generate verifiable dashboards and reports based on traceable calculation logic. Users can ask questions in natural language, such as analyzing the reasons for a conversion decline, auditing unit economics models, understanding user behavior, optimizing team performance, tracking operational efficiency, or identifying compliance risks. The AI outputs results with sources, assumptions, and calculation processes, and supports refreshing workflows when new data arrives. It is positioned for the "post-Excel era" analysis scenario and is suitable for teams that are still accustomed to spreadsheet workflows but need more reliable handling of larger and messier data. Specific fees, prices, platforms, and integration details are not yet provided.

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Geotab

AI data analysis

Geotab is the world's leading commercial fleet telematics platform. It connects vehicles to the internet through in-vehicle devices and provides web-based data analytics to help organizations of all kinds manage their fleets. Its core capabilities include GPS fleet tracking, driver safety and coaching, vehicle maintenance reminders, routing and dispatch, fuel management, ELD compliance, and more, and with AI capabilities such as Geotab Ace it simplifies complex data into actionable insights. Geotab offers GO series vehicle tracking devices that plug and play into the OBD II port and support electric vehicle data monitoring; it also has an open platform where developers can use the MyGeotab SDK to create custom applications, and more than 200 third-party extensions are available through the Marketplace. According to its official website, an independent ABI Research comparison report rated it first in commercial telematics, and it has served fleets worldwide for more than 25 years. Specific pricing, packages and detailed fee information are not currently provided.

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Hudl

AI data analysis

Hudl is a sports technology software platform that provides video capture, data analysis, and AI insights to help athletes, coaches, teams, and organizations improve performance at all levels of competition. Its AI-powered Focus camera can automatically record, livestream, and share games; the team performance module provides AI-assisted data and insights to help coaches build better teams; the athlete performance module tracks individuals to optimize performance and recovery; the scouting and recruiting module connects athletes with opportunities; the fan engagement module provides livestreams, highlights, profiles, tickets, and more; the operations module simplifies scheduling, logistics, and payments. Hudl also supports multiple sports, including basketball, soccer, lacrosse, wrestling, and more, and offers customized solutions for different levels. Users need to contact the team to obtain specific solutions; details such as specific pricing and detailed feature limitations are not yet available.

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Orlyn

AI data analysis

Sonar is a free website tracking checker from Dolphin Analytics. After users paste a URL, it scans up to 100 pages like a real visitor, checks the deployment of GA4, Google Tag Manager, Meta, and Google Ads pixels, and assesses whether consent settings are compliant. The scan requires no login and no installation. When complete, it provides a tracking health score from 0 to 100, a prioritized list of issues, and fix recommendations. Each issue includes scan evidence and the score impact of fixing it. No AI-generated reports are used; it only reports issues that can be externally proven. Items that cannot be checked are clearly stated and do not result in point deductions. The full report can be obtained by email; users can choose to fix it themselves or have Dolphin Analytics handle it.

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PaCMAP

AI data analysis

PaCMAP (Pairwise Controlled Manifold Approximation) is a dimensionality reduction method for high-dimensional data visualization that can simultaneously preserve both the local and global structure of the data in the original space. It optimizes a low-dimensional embedding through three types of point pairs (nearest-neighbor pairs, mid-near pairs, and far pairs). The related paper was published in JMLR and received an award. This open-source project supports Python, R, and Rust usage, and continuously integrates new algorithms such as ParamRepulsor and LocalMAP, making it suitable for dimensionality reduction visualization of large-scale datasets such as single-cell genomics.

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Quantilope

AI data analysis

quantilope is an AI-based consumer insights and market research platform designed to provide real-time results through automated research tools and support data-driven decision-making. Its core features include automated quantitative research, continuous brand tracking, and the AI research assistant quinn, which can quickly generate questionnaires, analyze data, and synthesize reports. The platform offers 16 automated research methods and collects feedback through a global consumer panel network, making insights accessible in less than 1 second after a survey response. quantilope helps clients turn feedback into actionable insights, and it is claimed that its clients therefore make 80% more consumer-driven decisions. The platform is positioned as an alternative to traditional market research, offering agency-grade rigor along with the speed and flexibility of modern technology, and supporting scientific frameworks for brand growth such as mental availability, mental advantage, and category entry points.

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