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Description
Traditional paper sign-in sheets are being phased out in favor of tablets, which provide businesses with a more efficient and organized approach to managing customer interactions from the moment they enter. An intuitive app effectively captures each customer's name and their specific requirements, while also recording the exact time of entry and displaying a categorized list across the networked computers. Empower your team with the necessary tools to address customer needs more swiftly and effectively. By automatically categorizing customers based on their purpose of visit and the relevant department, the need for a dedicated greeter is eliminated, allowing customers to connect directly with the appropriate staff member. This streamlined process not only enhances response times but also ensures that each customer's needs are met promptly. Additionally, management can access insightful reports that analyze customer traffic patterns and trends, as well as evaluate staff performance and overall office productivity, ultimately leading to improved service delivery. Adopting this digital method not only modernizes the customer sign-in process but also significantly enhances operational efficiency across the business.
Description
For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort.
CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows.
CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort.
In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.
API Access
Has API
API Access
Has API
Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
Integrations
Adabas & Natural
Apache Hive
HP-UX
IBM AIX
IBM Db2
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI RowGen
Pricing Details
$34 per month
Free Trial
Free Version
Pricing Details
$4,000 perpetual use
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Check In Systems
Founded
2004
Website
www.cqueue.com
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/cosort
Product Features
Queue Management
Appointment Scheduling
Calendar
Communication Tools
Contactless
Customer Surveys
Dashboard
For Banks
For Government
For Healthcare
For Restaurants
For Retail
SMS Marketing
Supports Multiple Counters
Virtual Queue
Waitlist
Alerts/Notifications
Customer Database
For Restaurants
Prioritization
Public Waitlist
Reporting & Statistics
Self Check-in
Waiting Time Tracking
Waitlist Status Tracking
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control