Name: PlaidCloud
Author: Tartan Solutions (Plaidcloud)

Help Desk

Kiosk

Web and Video Conferencing

Customer Support

Flowchart

Text Editors

Version Control

Development

Student Management

Education

Business Intelligence (BI)

Collaboration

Digital Rights Management (DRM)

IP PBX

Meeting Management

Online Notary

Enterprise

Accounting

Blockchain Payments

Cryptocurrency Wallets

Travel Management

Finance and Accounting

ACA Compliance

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AI Governance

Change Management

Cloud Storage

Converged Network Adapters (CNAs)

Data Deduplication

Data Science

Email Verification

Firewall Security Management

Fraud Detection

Identity Verification

Integration Platform as a Service (iPaaS)

Mainframe Monitoring

Migration

Network Performance Monitoring

Network Traffic Analysis (NTA)

Output Management

Robotic Process Automation (RPA)

SaaS Management

System Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Content Management

Data Cleansing

Digital Experience Intelligence

Email Marketing

Headless CMS

Marketing Automation

Screen and Video Capture

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Job Site Management

Project Management

Waste Management

Writing and Proofreading Tools

Professional Services

Customer Relationship Management (CRM)

Field Sales Software

Headless eCommerce

Sales

Operational Technology (OT) Security

Security

Aviation

Camp Management

Computer-Aided Manufacturing (CAM)

Construction Workforce Management

Last Mile Delivery

Nonprofit CRM

eDiscovery

Vertical-Specific

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Document Locator

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PlaidCloud, developed by Tartan Solutions Inc., is a data analytics platform designed to assist businesses in analyzing, integrating, and visualizing their data. According to the vendor, PlaidCloud offers solutions for intercompany and transfer pricing, enterprise profitability, supply chain management, and data wrangling. The platform is suitable for businesses of all sizes, from small startups to large enterprises. It is aimed at professionals such as financial analysts, business analysts, data scientists, supply chain managers, and finance managers across various industries.

## Key Features

**Connect**: According to the vendor, PlaidCloud allows users to rapidly assemble and integrate datasets from different sources, including flat files, internal databases, and publicly available data. The platform offers quick configuration of connectors with minimal setup.

**Collaborate**: PlaidCloud is designed to facilitate collaboration among global teams in a secure and controlled workspace, enabling rapid development and knowledge sharing. The vendor claims that team members can be onboarded without incurring incremental license costs.

**Enrich**: PlaidCloud enables users to create repeatable workflows for performing data transformations on datasets of any size. The platform provides low-code data transforms specifically designed for finance and supply chain operations. According to the vendor, PlaidCloud also offers native support for multi-dimensional data and the ability to build sophisticated analytics models using Python data science libraries.

**Deploy**: Users of PlaidCloud can schedule workflows to run on a routine basis or conditionally. The platform also offers the capability to automatically pull data from ERP and other source systems.

**Visualize**: PlaidCloud allows users to build and share dashboards, with the ability to drag and drop configuration of charts, dashboards, and filters. The platform integrates directly with Excel and can be shared with other enterprise business intelligence tools. According to the vendor, PlaidCloud provides access to live data in reports and dashboards without the need to export to alternate business intelligence systems.

**Scale**: PlaidCloud is designed to handle massive data volumes efficiently. The vendor claims that the platform's AI-managed infrastructure automatically adjusts resources for optimal performance.

**Intercompany & Transfer Pricing**: According to the vendor, PlaidCloud enables users to generate and post invoicing across multiple systems. The platform provides functionality to define, monitor, and analyze transfer pricing transactions with greater efficiency.

**Enterprise Profitability**: PlaidCloud is said to assist businesses in unveiling the total cost for a competitive pricing advantage. The platform enables users to calculate net margin by customer, channel, and product, providing cost transparency and visibility into fully delivered cost. The vendor claims that PlaidCloud also offers the ability to optimize margins with stacked margin analysis.

**Supply Chain**: PlaidCloud offers seamless monitoring for even the most complex supply chains. The platform aims to achieve cost transparency and optimize supply chain operations. It provides functionality such as bill of materials (BOM) costing for manufacturing and product development, as well as supplier spend management for managing spending on goods and services.

**Data Wrangling**: PlaidCloud allows users to import data from various sources, including CSV, fixed width, SAS7BDAT, Quandl, HTML, JSON, SQL, and more. The platform also provides the capability to export data to different formats, such as CSV, Excel, PDF, and more. According to the vendor, PlaidCloud offers table-based data transformations and the ability to automate data wrangling workflows.

Personal

Team

Department

Organization

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PlaidCloud

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Tartan Solutions (Plaidcloud)

BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

PlaidCloud

Overview

What is PlaidCloud?