Coefficient 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

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

Receive email reports and notifications regarding metrics.

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

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.

Compiles data from a breadth of either internal or external sources.

Enables user to communicate data by securely exporting and sharing it.

Allows users to view data visualizations on several devices.

Dashboards which are customizable and interactive so that the user can view sales information in a way that fits his or her needs.

Enables user to segment customer or prospect data in meaningful ways such as by industry or region.

Provides scores or rankings of each prospect based on the data provided.

Provides insights to determine which deals already in the pipeline have the best chance of closing.

Warns sales teams of accounts that may be at risk of being lost.

Provides live customer data so that sales organizations forecasts stay current.

Updates every time a change is made enabling users to trace a deal through the pipeline.

Enables competition between a sales team by providing things like challenges and scoreboards.

Provides insightful data at the account level to arm salespeople with the most relevant information possible.

Enables sales managers to stay on top of their team activities by providing visibility into customer communication.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Receive email reports and notifications regarding metric.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Collects and reports on data relating to customer journeys, preferences, and history

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Includes features for budgeting, forecasting, and managing marketing investments

Offers a white labeling service for agencies or resellers to customize platform branding

Analyzes historical and current marketing campaigns to inform future strategy

Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities

Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Uses collected data to assist organizations in understanding what they can afford now, and in years to come.

Creates a continuous and recurrent planning process that can be calculated according to a specified and customizable timeline.

Leverages data from budgeting and forecasting processes to help corporations understand their reality and make decisions accordingly.

Offers methods of visualizing data via customizable dashboards, statistical graphs, and charts.

Scours data for actionable insights.

Allows users to customize their own reports according to business needs.

Provides pre-built reporting templates to organize data for payroll, manufacturing, and other company factions.

Allows for searchable communication within the tool via notes, checklists, and discussions to ensure clarity between users.

Reflects updates immediately, ensuring users have the most recent data while maintaining records of past performance.

Updates varying factors in real-time, assuring forecasts and inferences are continually made according to the most recent information.

Displays and shares company performance data to increase transparency across the board.

Financial information can be imported from multiple sources such as spreadsheets, text files, or databases

Data from multiple systems can be centralized into a single repository

Financial data can be validated to avoid duplicates and errors

Administrators can define and manage the reporting structure and access rights to each report

Templates that can be used to create new reports without starting from scratch

Provide multiple types of reports such as point-in-time or snapshot reports, year over year, or time to date

Include most common financial KPIs such as gross and net profit margin, or working capital

Standard financial reports are provided out of the box

Ability to analyze financial statements such as income statement and balance sheet

Users can drill down to the detail level of each transaction or financial entry

Dashboards can be customized to display different types of data from various sources

Users can modify standard financial KPIs and metrics

Allow users to edit reports and to combine multiple reports

A dedicated portal for external users with limited access to the system

Monitors the financial performance of multiple entities

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

Lets users download and store addons that further expand the functionality and features within the spreadsheet.

Access spreadsheets with multiple devices such as mobile or desktop.

Allows seamless importing and exporting features into other spreadsheet software or document creation software.

Provides the ability to periodically saves a user's spreadsheet automatically.

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Allows users to create conditional formatting rules with mathematical functions and calculate simple and complex data sets.

Recalculates values within cells automatically when function changes occur.

Takes data and turns it into insightful visualizations in the form of charts, diagrams, graphs that are adjustable.

Lets users organize data into standard tables or pivot tables for additional mathematical insights.

Lets users choose from a variety of spreadsheet templates with pre-made tables or pre-populated charts.

Allows multiple users to work within the same spreadsheet and see edits in real-time.

Allows users to filter data sets depending on what they want to see or hide.

Timesheets, projects, tasks, income or expenses can all easily be exported to pdf, xls or csv for simpel cash clow analysis.

Add one-time or recurring items to your cash flow and add line items for each payment or deposit.

Check your cash on hand at the beginning of each month and view each day incoming and outgoing funds.

Cash flow forecasting is based on past transactions and historical financial or operational data

Ability to recreate forecasts to include new information that may impact budgets

Support multiple types of forecasts such as balance sheet and cash flow forecasts

Used to review and update budgeting assumptions for a predefined period (usually one year)

Uses AI algorithms and models to predict future cash flow trends and outcomes, based on historical data and patterns

Project out as the year progresses to accommodate trends that affect key business drivers.

Generate cash flow reports in order to see where money is coming in and where it's going

Compare Income Statement, Balance Sheet, and Cash Flow for multiple periods

Forward-looking Balance Sheet and Cash Flow Statements are synchronized with GL data

Automates the transfer of data between an organization's ERP system and its bank

Streamlines the exchange of information between internal systems

Automatically extracts data required for cash forecasting and liquity reporting

Restricts access to certain users within an organization, or provides access for third parties

Integrates with other financial software, such as Treasury Management, Budgeting & Foreasting, or Invoice Management software

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.

Analysis that creates business plans outside of finance, including sales, marketing, or HR.

Reports on departmental KPI metrics measured against targets.

Consolidates planning processes across an organization into a single solution.

Allows users to track how previous revenue forecasts have developed over time

Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities

Reports results on revenue attainment, conversion rate, and overall revenue analytics

Allows users to view data visualizations on several devices

Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success

Automatically associates calendar invites to update deal progress in a CRM

Automatically associates sales activities within emails to the relevant accounts in your CRM

Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM

Automatically links marketing leads to sales generated opportunities in your CRM

Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Identifies accounts that sales reps aren't engaging with

Maximizes account coverage by determining the optimal number of accounts per rep

Identifies common themes among historical deals that are won or lost

Identifies common themes and actions amongst reps that close the most deals

Allows users to track the level of engagement with each account and provides insights on frequency of engagement

Identifies common themes among historical deals that are won or lost to provide insights into successful strategies

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

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

Provides the ability to easily share visualizations.

Allows multiple users to edit and create visualizations together.

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

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

Makes informed choices based on available data and objectives

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

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

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

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

Capability to perform complex tasks without constant human input

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

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

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Works across multiple software systems or databases

Makes informed choices based on available data and objectives

Connects structured and unstructured data for unified analysis.

Uses AI to clean, join & prep data with little manual input

Allows users set goals & rules for agent behavior.

Improves agents via outcome learning & feedback.

Detects trends, anomalies & patterns without manual queries.

Breaks down complex analysis into logical steps.

Generates forecasts & action suggestions from data signals

Helps users ask questions in natural language & get answers.

Triggers workflows or actions based on agent analysis.

Shows reasoning paths to explain how insights were made