AnswerRocket Reviews & Pricing

Key Features

•  Data Connectivity: Users can connect AnswerRocket to all of their data, whether it lives in the cloud or on-premise. The platform supports connections to hundreds of sources, including Amazon Redshift, SQL databases, Google Drive and Google Analytics, Oracle, SAP, Salesforce, Snowflake and more.
•  Knowledge Graph: After connecting all their data sources, users can compile and maintain a dynamically updated knowledge base that shows everything the platform knows about the company at any given point, allowing for comprehensive data visibility.
•  Search-Powered Analytics: The core of the platform is an augmented analytics engine powered by artificial intelligence, which allows for smart analysis and conversational search. Users can query their data for answers just like they use a search engine to surf the web.
•  Natural Language Processing: Users can ask the platform questions in conversational English to generate results, no programming language fluency required. The system learns and adapts to queries, optimizing itself over time, and users can tailor the AI’s language to understand their way of speaking.
•  Automate Analytics Workflows: By activating out-of-the-box machine learning bots called RocketBots, users can unlock the power of data science to automate time-intensive workflows and speed up data analysis. The bots act as a team of always-on analysts, monitoring data for critical updates and running scheduled analyses around the clock.
•  Data Analytics: The system runs descriptive, diagnostic and predictive analysis on data, generating insights such as summaries, trends, forecasts, growth, outlying data points, correlation, compound annual growth rates and year-over-year comparisons.
•  Data Visualization: The solution answers users’ questions with automatically generated interactive visualizations and dashboards. Users can customize the look and feel of these graphics, and the AI learns users’ design preferences over time.
•  Share Insights: Users can share analyses via web, mobile browser, mobile app, email or embedding in a third-party portal or website.
•  Extensions: Users can leverage AnswerRocket’s supplemental library of extensions or even create their own to add additional functionality to the system. They can also integrate AI and machine learning algorithms from all major open-source libraries to tailor the solution’s intelligence to their needs.
•  Deployment Options: Users can take advantage of flexibility in their deployment, with choices between a public SaaS, a private cloud-hosted solution or a hybrid solution in between to leverage existing data warehouses.
•  Mobile App: Users can ask AnswerRocket for insight while on the go, with a mobile app for iOS devices that allows them to type questions or ask them by voice.

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