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What is Spool?

Spool offers an effortless solution for you and your team to document and access key conversations from customer calls and sales meetings with a simple click using its AI-powered sales collaboration platform. By linking Spool to your Zoom account and adding the Spool desktop widget, you can significantly improve your meeting productivity. This widget facilitates the capture of only the essential and non-sensitive details from your discussions, allowing you to avoid the hassle of manual note-taking. With the press of a button, you can start and stop the recording of topics you want to note during your interactions. Utilizing sophisticated text classification and sentiment analysis, Spool effectively highlights and organizes the most important segments of these conversations, automatically crafting detailed sales documents. After each call, demo, or sales meeting, you will receive a well-structured sales document via email, which is also saved in your Spool dashboard for convenient retrieval later. This efficient method not only conserves your time but also guarantees that no vital information slips through the cracks, enhancing overall communication and record-keeping within your team. Additionally, Spool's capabilities foster better team collaboration and alignment on sales strategies, ensuring everyone is on the same page.

What is IRI Fast Extract (FACT)?

A rapid extract process can serve as a vital element in various scenarios, including: database archiving and replication database reorganizations and migrations data warehouse ETL, ELT, and operational data store activities offline reporting and extensive data safeguarding IRI Fast Extract (FACTâ„¢) functions as a parallel unloading tool specifically designed for handling very large database (VLDB) tables within several systems, such as: Oracle, DB2 UDB, MS SQL Server Sybase, MySQL, Greenplum Teradata, Altibase, Tibero Using straightforward job scripts supported by an intuitive Eclipse GUI, FACT swiftly generates portable flat files. The efficiency of FACT is attributed to its use of native connection protocols and a proprietary split query method that enables the unloading of billions of rows in mere minutes. While FACT operates independently as a standalone utility, it also integrates well with other applications and platforms. For instance, FACT can generate metadata for data definition files (.DDF) that can be utilized by IRI CoSort and its compatible data management and protection solutions, allowing for streamlined manipulation of flat files. Additionally, FACT automatically produces configuration files for database loading utilities tailored to the original source. Furthermore, FACT is an optional, seamlessly integrated part of the IRI Voracity ETL and data management platform, enhancing its functionality. The automatic generation of metadata, along with the ability to coexist with other IRI software within the same integrated development environment, further optimizes user workflows and data handling processes.

Media

Media

Integrations Supported

FOX Wallet
Zoom

Integrations Supported

Altibase
Greenplum
IBM Db2
IRI CoSort
IRI Data Manager
IRI FieldShield
IRI NextForm
IRI RowGen
IRI Voracity
MySQL
Oracle Database
SAP Adaptive Server Enterprise (ASE)
SQL Server

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

iPhone
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Spool-App

Date Founded

2021

Company Website

spoolapp.co

Company Facts

Organization Name

IRI, The CoSort Company

Date Founded

1978

Company Location

United States

Company Website

www.iri.com/products/fact

Categories and Features

Categories and Features

Data Extraction

Disparate Data Collection

ETL

Data Filtering
Metadata Management
Non-Relational Transformations

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