Usermaven Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Accurately measure total web traffic and present data elegantly.

Configure and accurately measure an appropriate measure of engagement, such as average session length, page views per session, amount of scrolling, etc.

Accurately determine where most people enter your site and where they leave and present data elegantly.

Software automatically tracks standard user actions.

Able to set up custom variables to track any user activity on the site.

Accurately measure bounce rate.

Track user return rates and related metrics.

Track what proportion of users convert via a certain action.

See how many users proceed down a certain path to conversion.

Obtain live data for who is currently accessing your site.

Report on how any user activity has changed over time.

Report on user activity in the past and set up predictive models for the future.

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Analytic tools are also available for mobile and tablet versions of websites.

Able to unify user data across devices, recognizing returning users.

Allows users to easily build customized reports and dashboards.

Able to access user-specific data such as location, language, gender, and activity while on the site.

Report on keywords used in internal searches.

Track load times on different devices and systems.

Analyze inbound marketing traffic to identify which campaigns are working best.

Track revenue and transactions.

Able to deploy promotional or other pop-up messages based on user actions.

System can self-monitor critical metrics and alert administrators when they reach concerning levels.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Able to test that event and variable setup are reporting data accurately.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Ability to see analytics at the account level.

Ability to see analytics at the user level.

Ability to compare usage across segments such as role, company size, etc.

See how users move though a product via grouped page sequences

Receive automated alerts and reports based on gains or losses in performance.

View analytics for multiple products in a single dashboard, including cross-product engagement

Scores customers and visitors to identify at-risk or thriving accounts.

Breadth and functionality of integrations with third-party products.

Provide templates for customer journey mapping to jumpstart the process.

Ability to export customer journey maps in a variety of formats to present and analyze.

Allow team members to invite others to collaborate on journey maps and make direct changes.

Provide the ability to compare the experiences of multiple personas in one journey map.

Ability to integrate with cross-channel, real-time data analytics to power customer journey map creation.

Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.).

Automates the testing and optimization of customer-facing messaging and campaigns.

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s).

Ability to measure product usage by feature, campaign performance by source, and other trending metrics.

Provides dashboards to combine and visualize quantitative and qualitive customer journey data.

Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data.

Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data.

Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics.

Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying