Datawatch

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	Datawatch Self-Service Data Preparation for the Enterprise
HQ Location	United States
Year Founded	1985
Company Type	Private
Revenue	$10-100m
Employees	51 - 200
Website	Open website

Self-Service Data Preparation for the Enterprise

HQ Location

United States

Year Founded

1985

Company Type

Private

Revenue

$10-100m

Employees

51 - 200

Website

Open website

Company Description	Datawatch Corporation enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. Year Founded : 1985 Read More
Contents

Company Description

Datawatch Corporation enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila.

Year Founded : 1985

Hardware

Processors & Boards

Transceivers

Sensors & Actuators

Network Equipment

Devices

Wearables

Software

Software as a Service

Software that ingests data and visualises it to generate insights to answer specific questions

Artificial Intelligence

Platform as a Service

Platforms that facilitate and allow application developments for specific use cases and/or client requirements.

Cybersecurity

Software that focus on securing devices, machines, and communications between them.

Infrastructure as a Service

Services

System Integration

Hardware Development

Software Development

Developing custom software for specific uses and operating environments/needs.

Network Connectivity

Number of Case Studies2

MasterCard Improves Customer Experience Through Self-Service Data Prep

Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”

Modell’s Ups its Game with Self-service Data Prep

Retail is a fast-paced business. To stay competitive, organizations like Modell’s must react quickly to market place conditions, industry trends, and economic upticks and downturns, sometimes overnight. 20 years ago, critical sales, inventory and transactional data lived in a mainframe system that was only accessible through Lotus 1-2-3. Joe Paltenstein, now AVP, Assistant Controller at Modell’s Sporting Goods said, “It was challenging to get the data we needed out of the mainframe system and into a workable format that we could use. And with so many different types of data it was hard to extract any useful insights without a painfully slow reformatting process. We had to print out reports on green bar paper and then entered the data into spreadsheets.”

Number of Industries1

Equipment & Machinery
Case Studies (2)

Number of Functions1

Maintenance
Case Studies (2)

Number of Similar Suppliers8

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Datawatch

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Case Studies

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