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What is data.ai Intelligence?

Data.ai Intelligence provides insights into global app market trends by examining downloads and revenue, enabling you to identify which markets are thriving the most. By gaining a comprehensive view of the app landscape, you can enhance your competitive edge. You can assess your market share by scrutinizing various factors such as downloads, revenue, usage patterns, and engagement metrics. This analysis allows you to spot emerging competitors and recognize potential challenges. By evaluating performance trends within your sector, you can uncover possible risks to your business. Accessing estimates for millions of apps will help you determine which countries, stores, categories, or devices are fostering success. It’s essential to comprehend engagement metrics, including active users, market penetration, usage duration, and frequency. Additionally, consistently monitoring competitor market share, growth trajectories, and ranking trends will keep you informed and prepared for shifts in the market. In the rapidly evolving app ecosystem, staying ahead requires continuous analysis and strategic insights.

What is Qrvey?

Qrvey stands out as the sole provider of embedded analytics that features an integrated data lake. This innovative solution allows engineering teams to save both time and resources by seamlessly linking their data warehouse to their SaaS application through a ready-to-use platform. Qrvey's comprehensive full-stack offering equips engineering teams with essential tools, reducing the need for in-house software development. It is specifically designed for SaaS companies eager to enhance the analytics experience for multi-tenant environments. The advantages of Qrvey's solution include: - An integrated data lake powered by Elasticsearch, - A cohesive data pipeline for the ingestion and analysis of various data types, - An array of embedded components designed entirely in JavaScript, eliminating the need for iFrames, - Customization options that allow for tailored user experiences. With Qrvey, organizations can focus on developing less software while maximizing the value they deliver to their users, ultimately transforming their analytics capabilities. This empowers companies to foster deeper insights and improve decision-making processes.

Media

Media

Integrations Supported

AppLovin
Bold BI
Desktop.com
Geckoboard
Shift
Style Intelligence

Integrations Supported

Amazon Athena
Amazon DynamoDB
Amazon Redshift
Amazon Rekognition
Amazon S3
Amazon Web Services (AWS)
JSON
Microsoft Azure
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Snowflake

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Priced for SaaS providers with unlimited users and instances.
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

data.ai

Date Founded

2010

Company Location

United States

Company Website

www.data.ai/en/product/intelligence/

Company Facts

Organization Name

Qrvey

Date Founded

2016

Company Location

United States

Company Website

qrvey.com/

Categories and Features

App Store Optimization (ASO)

Benchmarking
Competitor Monitoring
Keyword Research Tools
Rank Tracking
Reporting / Analytics
Reviews Management
Sentiment Analysis

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Visual Analytics

Dashboard

Data Source Integrations
KPIs
Private Dashboards

Data Visualization

Analytics
Relational Display

Market Intelligence

Not specified

Marketing Analytics

Campaign Management

Mobile App Analytics

A/B Testing
Channel Attribution
Funnel Analysis

Predictive Analytics

Sentiment Analysis

Product Analytics

Not specified

Reporting

Customizable Dashboard
Drag & Drop
Financial Reports
Forecasting
Report Export

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Dashboard

Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis

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

Data Discovery

Contextual Search
Data Classification
Data Matching
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Engineering

Not specified

Data Visualization

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

Embedded Analytics

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Self Service Analytics
Streaming Analytics
Visual Workflow Management

IoT Analytics

Activity Dashboard
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

Microservices

Not specified

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Reporting

Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports

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