Datawatch Brings “Data Socialization” to Self-Service Analytics
November 02 2016 - 4:05PM
Datawatch Corporation (NASDAQ-CM:DWCH) today announced its
strategic vision and product roadmap for making “data
socialization” a reality for all business users of self-service
data preparation. Currently in beta, the next addition to the
Monarch family will include all of the self-service data
preparation benefits for which the product is highly regarded, and,
in a first, add key attributes common to social media platforms.
This powerful combination will enable data scientists, business
analysts and even novice business users across a company to search
for, share and reuse prepared, managed data to achieve true
enterprise collaboration and agility, resulting in better and
faster business decisions.
Datawatch invented self-service data preparation. Its Monarch
product has been used in more than 40,000 organizations to unlock
all data, including “dark data” such as PDF reports, web pages, log
files, and streaming and multi-structured data. Capitalizing on the
largest installed base of data preparation users and unmatched
expertise supporting the largest enterprise deployments, Datawatch
is applying its unique experience and market position to now
deliver a compelling data socialization roadmap starting this
quarter.
Introducing Data Socialization Social media
platforms have dramatically increased end user expectations about
the availability and timeliness of information. Users increasingly
have these same expectations for business information, regardless
of where the data resides or how it’s formatted. The roadmap for
Datawatch Monarch will deliver data throughout the enterprise with
many of these same attributes. Key features will include:
- Cloud-Based Data Preparation – Deliver data
preparation and access to everyone, everywhere.
- Collaboration – Understand the relevancy of
data in relation to how it’s utilized by different user roles in
the organization (e.g., sales operations or internal auditing);
follow key users and data sets; and collaborate to better harness
the “tribal knowledge” that too often goes
unshared.
- Crowdsourcing – Leverage user ratings,
comments and popularity to make better decisions about which data
to use.
- Information Marketplace – Browse a centralized
catalog of all relevant internal and external data.
- Intuitive Search – Search cataloged data,
metadata and data preparation models indexed by user, type,
application and unique data values to quickly find the right
information.
- Machine Learning – Benefit from machine
learning capabilities, which identify patterns of use and success,
perform data quality scoring, suggest relevant sources, and
automatically recommend likely data preparation actions based on
user persona.
- Data Quality and Governance – Provide
sanctioned, curated data sets to promote reuse and consistency.
Comprehensive governance features, including data masking, data
retention, data lineage and role-based permissions, are necessary
to uphold corporate and regulatory compliance and enhance trust in
data, analytics processes and results.
“This new, major release is specifically designed to meet the
needs of three key constituencies: IT, analysts and information
workers,” said Jon Pilkington, chief product officer at Datawatch.
“The IT team will benefit from required data governance and will be
able to deliver more value to a wider variety of business users.
Analysts will be more productive, with the ability to acquire and
prepare data from any source, and they can now remove all of the
redundant work across different silos. And information workers who
use data daily to make business decisions, but often lack the
technical skills to access and prepare data, will no longer be left
out of the process. Our strategic roadmap for data socialization
will make the next-generation of Monarch an essential part of the
decision-making fabric for all analytical and operational
processes.”
Product Availability The product is in beta
release with early adopters. General availability is expected in
December 2016.
For more information about Datawatch Monarch, please visit:
http://www.datawatch.com/our-platform/monarch/.
About Datawatch CorporationDatawatch
Corporation (NASDAQ-CM:DWCH) 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. To learn more about Datawatch or download a free
version of its enterprise software, please visit:
www.datawatch.com.
Safe Harbor Statement under the Private Securities
Litigation Reform Act of 1995Any statements contained in
this press release that do not describe historical facts may
constitute forward-looking statements as that term is defined in
the Private Securities Litigation Reform Act of 1995. Any such
statements contained herein, including but not limited to those
relating to product performance and viability, are based on current
expectations, but are subject to a number of risks and
uncertainties that may cause actual results to differ materially
from expectations. The factors that could cause actual future
results to differ materially from current expectations include the
following: rapid technological change; Datawatch’s dependence on
the introduction of new products and product enhancements and
possible delays in those introductions; acceptance of new products
by the market, competition in the software industry generally, and
in the markets for next generation analytics in particular; and
Datawatch’s dependence on its principal products, proprietary
software technology and software licensed from third parties.
Further information on factors that could cause actual results to
differ from those anticipated is detailed in various
publicly-available documents, which include, but are not limited
to, filings made by Datawatch from time to time with the Securities
and Exchange Commission, including but not limited to, those
appearing in the Company’s Annual Report on Form 10-K for the year
ended September 30, 2015. Any forward-looking statements should be
considered in light of those factors.
© 2016 Datawatch Corporation. Datawatch and the Datawatch logo
are trademarks or registered trademarks of Datawatch Corporation in
the United States and/or other countries. All other names are
trademarks or registered trademarks of their respective
companies.
Source: Datawatch
Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
amanda_beaupre@datawatch.com
978-275-8387
Twitter: @datawatch
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