Pecan Features
Statistical Tool (3)
Scripting
Based on 12 Pecan reviews. Supports a variety of scripting environments
Data Mining
Mines data from databases and prepares data for analysis 13 reviewers of Pecan have provided feedback on this feature.
Algorithms
Applies statistical algorithms to selected data This feature was mentioned in 14 Pecan reviews.
Data Analysis (2)
Analysis
As reported in 12 Pecan reviews. Analyzes both structured and unstructured data
Data Interaction
Interacts with data to prepare it for visualizations and models This feature was mentioned in 14 Pecan reviews.
Decision Making (4)
Modeling
As reported in 15 Pecan reviews. Offers modeling capabilities
Data Visualizations
Creates data visualizations or graphs 14 reviewers of Pecan have provided feedback on this feature.
Report Generation
As reported in 14 Pecan reviews. Generates reports of data performance
Data Unification
Unifies information on a singular platform This feature was mentioned in 12 Pecan reviews.
Attribution (3)
Lead Opportunity
Aligns lead scores with predefined lead distribution criteria
Lead Assignment
Matches and assigns leads to the correct sales representative
Pipeline Acceleration
Determines which leads should be prioritized and then accelerates them up the pipeline
Discovery (3)
Lead Management
Integrates with lead capture and lead intelligence tools to discover leads
Scoring/Ranking
Creates and assigns scoring system to rank the viability of leads
Lead Context
Integrates with CRM or marketing automation tools to contextualize lead data
Management (2)
Conversion Viability
Reports on and analyzes lead scores to determine the conversion rate of lead opportunities
Workflow
Aligns lead scores and strategy with existing sales operations
Platform (2)
Data Synchronization
Syncs lead data within the sales database for consistency and accuracy
Analysis
Provides analysis on lead scores, funnel insights, and both open and closed opportunities
Marketing Operations (6)
ROI Tracking
Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs
Data Collection
Gathers data about the effectiveness, impact, and reach of marketing campaigns
Customer Insights
Collects and reports on data relating to customer journeys, preferences, and history
Multi-User Access
Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results
Spend Management
Includes features for budgeting, forecasting, and managing marketing investments
White Label
Offers a white labeling service for agencies or resellers to customize platform branding
Campaign Activity (6)
Campaign Insights
Analyzes historical and current marketing campaigns to inform future strategy
Reports and Dashboards
Creates reports and dashboards to analyze results of campaigns
Campaign Stickiness
Identifies which marketing campaigns resolved in open or closed opportunities
Multichannel Tracking
Collects marketing campaign performance data across multiple channels
Brand Optimization
Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback
Predictive Analytics
Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization
Model Development (5)
Language Support
Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models
Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development
Model Training
Supplies large data sets for training individual models
Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (6)
Computer Vision
Offers image recognition services
Natural Language Processing
Offers natural language processing services
Natural Language Generation
Offers natural language generation services
Artificial Neural Networks
Offers artificial neural networks for users
Natural Language Understanding
Offers natural language understanding services
Deep Learning
Provides deep learning capabilities
Deployment (3)
Managed Service
Manages the intelligent application for the user, reducing the need of infrastructure
Application
Allows users to insert machine learning into operating applications
Scalability
Provides easily scaled machine learning applications and infrastructure
Data Source Access (3)
Breadth of Data Sources
Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others
Ease of Data Connectivity
Allows businesses to easily connect to any data source
API Connectivity
Offers API connections for cloud-based applications and data sources
Data Interaction (8)
Profiling and Classification
Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management
Indexes metadata descriptions for easier searching and enhanced insights
Data Modeling
Tools to (re)structure data in a manner that enables quick and accurate insight extraction
Data Joining
Allows self-service joining of tables
Data Blending
Provides the ability to combine data sources into one data set
Data Quality and Cleansing
Allows users and administrators to easily clean data to maintain quality and integrity
Data Sharing
Offers collaborative functionality for sharing queries and data sets
Data Governance
Ensures user access management, data lineage, and data encryption
Data Exporting (3)
Breadth of Integrations
Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools
Ease of Integrations
Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools
Data Workflows
Operationalizes data workflows to easily scale repeatable preparation needs
System (1)
Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use
Data Management (5)
Consolidation
Consolidates data from multiple sources
Data types
Gather multiple types of data from various sources
Correction
Allow users to update the data to ensure its accuracy and validity
Cleansing
Detect innacurate, incomplete, or duplicate data
Validation
Ensure that the data complies with internal quality standards
Analytics (4)
KPIs
Monitor store key performance indicators (KPIs) in real-time
Forecasting
Generate forecasts using historical data and market trends
Reports and Dashboards
Creates reports and dashboards to analyze retail KPIs and metrics
Predictive analytics
Uses artificial intelligence (AI) to build forecasting models based on existing data sets
Mobile (2)
Mobile dashboard
Offer mobile dashboards to view retail KPI in real-time
Mobile application
Support or include dedicated app for iOS and/or Android
Integration (3)
Marketplace
Allows integration with marketplace such as Amazon, eBay, Walmart, etc
Retail POS
Easily integrate with POS software to monitor sales and customer data
Other software
Allows integration with marketplace such as Amazon, eBay, Walmart, etc
Platform Additional Functionality (2)
Cloud
Provides a cloud based version of the platform
On-Premise
Provides an on-premise version of the platform
Generative AI (3)
AI Text Generation
Based on 11 Pecan reviews. Allows users to generate text based on a text prompt.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Generation
Allows users to generate text based on a text prompt.
Integration - Machine Learning (1)
Integration
Supports integration with multiple data sources for seamless data input.
Learning - Machine Learning (3)
Training Data
Enhances output accuracy and speed through efficient ingestion and processing of training data.
Actionable Insights
Generates actionable insights by applying learned patterns to key issues.
Algorithm
Continuously improves and adapts to new data using specified algorithms.
Agentic AI - Marketing Analytics (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Lead Scoring (4)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Retail Analytics (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives


