Pecan Features

Based on 12 Pecan reviews. Supports a variety of scripting environments

Mines data from databases and prepares data for analysis 13 reviewers of Pecan have provided feedback on this feature.

Applies statistical algorithms to selected data This feature was mentioned in 14 Pecan reviews.

As reported in 12 Pecan reviews. Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models This feature was mentioned in 14 Pecan reviews.

As reported in 15 Pecan reviews. Offers modeling capabilities

Creates data visualizations or graphs 14 reviewers of Pecan have provided feedback on this feature.

As reported in 14 Pecan reviews. Generates reports of data performance

Unifies information on a singular platform This feature was mentioned in 12 Pecan reviews.

Aligns lead scores with predefined lead distribution criteria

Matches and assigns leads to the correct sales representative

Determines which leads should be prioritized and then accelerates them up the pipeline

Integrates with lead capture and lead intelligence tools to discover leads

Creates and assigns scoring system to rank the viability of leads

Integrates with CRM or marketing automation tools to contextualize lead data

Reports on and analyzes lead scores to determine the conversion rate of lead opportunities

Aligns lead scores and strategy with existing sales operations

Syncs lead data within the sales database for consistency and accuracy

Provides analysis on lead scores, funnel insights, and both open and closed opportunities

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

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

Permits profiling of data sets for increased organization, both by users and machine learning

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

Allows users and administrators to easily clean data to maintain quality and integrity

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

Gives user ability to import a variety of data sources for immediate use

Consolidates data from multiple sources

Gather multiple types of data from various sources

Allow users to update the data to ensure its accuracy and validity

Detect innacurate, incomplete, or duplicate data

Ensure that the data complies with internal quality standards

Monitor store key performance indicators (KPIs) in real-time

Generate forecasts using historical data and market trends

Creates reports and dashboards to analyze retail KPIs and metrics

Uses artificial intelligence (AI) to build forecasting models based on existing data sets

Offer mobile dashboards to view retail KPI in real-time

Support or include dedicated app for iOS and/or Android

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Easily integrate with POS software to monitor sales and customer data

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Provides a cloud based version of the platform

Provides an on-premise version of the platform

Based on 11 Pecan reviews. Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Supports integration with multiple data sources for seamless data input.

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

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

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

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