CHELMSFORD, Massachusetts,
March 30, 2015 /PRNewswire/ --
Datawatch Corporation (NASDAQ-CM: DWCH) today at the Gartner
Business Intelligence Summit in Las
Vegas, unveiled the Datawatch Managed Analytics Platform to
deliver an enterprise solution for self-service data preparation
and visual data discovery. Datawatch is the only solution
that can bridge the gap between the ease-of-use and agility that
business users demand together with the scalability, automation and
governance needed by IT.
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Unique capabilities delivered with the Datawatch Managed
Analytics Platform include:
- Self-service data preparation - leveraging the
robustness and power of the Datawatch Monarch technology, the
'original' data preparation solution in the industry,
Datawatch has created a powerful yet simple to use offering to
manipulate, filter, enrich, blend and combine disparate data
sets.
- Advanced data enrichment - sophisticated redaction
capabilities to remove or obscure sensitive information used in
regulated industries; predictive analytic enrichment including
real-time scoring; and time series interpolation and
conflation.
- Automation without scripting - using an intuitive
visual process designer to schedule data extraction and preparation
processes and deliver prepared data to authorized users or other
enterprise systems.
- Access multi-structured data - unmatched
capabilities to extract and prepare data from PDF files, log files,
telemetry data, print spools, text, CSV, EDI, HTML, and even BI
reports created by third party tools and legacy systems.
- Synchronous visual authoring - ability to
simultaneously prep and visualize data side-by-side to get the
desired results quickly.
- Visual data discovery - delivers more meaningful
and timely decisions through real-time visualization of streaming
data that can be combined with other relevant business data.
- Frictionless governance - securely store, manage
and control access to all of the assets in the analytics workflow
including data preparation models, data discovery workbooks, and
source content not typically managed, including documents and
XLS/CSV extracts. Administrators can curate managed data sets
with complete audit trails and data lineage.
The Datawatch Managed Analytics Platform is an integrated yet
modular solution. The new data preparation capabilities are
available both as a stand-alone offering (for use by any third
party analytic front-end or to load into a data warehouse/data
mart) as well as tightly coupled with the latest release of the
visual authoring tool for quickly building visualization
applications.
"No other vendor can match the depth and breadth of capabilities
delivered with the new Datawatch Managed Analytics Platform.
Datawatch Monarch's longstanding technology leadership in
delivering self-service data preparation for the most challenging
multi-structured data sets provides an unparalleled foundation for
Datawatch to address the emerging requirements in this exciting
market," said Michael A. Morrison,
president and chief executive officer of Datawatch. "We are
the only vendor that can scale from individual analysts using
self-service data preparation and analytics on their desktops all
the way up to the enterprise. Indeed, one of our business
partners uses Datawatch in a managed services cloud deployment to
extract, prepare and deliver over 300 million data sets per month
using 9,000 data preparation models."
According to Gartner, "Data preparation is one of most difficult
and most time-consuming challenges facing users of BI and data
discovery tools, as well as data scientists. The
unprecedented growth in multi-structured data has contributed to
greater effort required in preparing the data to support
decision-making processes." 1
"Getting good clean data is tough. Most data doesn't come in an
easy-to-use format. But with Datawatch, you can work with even the
most difficult data sources like reports, invoices, PDFs and
complex real-time streams – the formats that would otherwise take a
lot of heavy lifting from IT to access," said Joe Lovati, Director of Business Analytics and
Reporting at Loan Depot. "The Datawatch Managed Analytic Platform
provides a complete solution for delivering the right information,
both data and visualizations, to all of our users."
The Datawatch Managed Analytics Platform is available today with
subscription pricing starting at $895
per user per year. For more information, visit
www.datawatch.com/platform.
1 Gartner, Market Guide for Self-Service Data
Preparation for Analytics, Lakshmi Randall et al., March 5, 2015
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) provides the only
platform for visual analytics to leverage any data at any speed –
delivering valuable insights for improving business. The
unique ability to acquire, prepare, and transform data from
structured and multi-structured sources such as PDF and log files,
as well as real-time streaming data, into visually rich analytic
applications allows users to dynamically discover key factors that
impact any operational aspect of their business. This ability to
perform visual discovery against any data at any speed sets
Datawatch apart in the big data and visualization markets.
Organizations of every size, worldwide use Datawatch products,
including 93 of the Fortune 100. Datawatch is headquartered in
Chelmsford, Massachusetts with
offices in New York, London, Frankfurt, Stockholm, Singapore, Melbourne, and Manila and with partners and customers in more
than 100 countries worldwide. See the Whole Story for yourself by
downloading the free trial at www.datawatch.com/free-trial.
Safe Harbor Statement under the Private Securities Litigation
Reform Act of 1995
Any 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,
including but not limited to those relating to results of
operations, contained herein 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: risks associated with
the continuing weak global economy; risks associated with
fluctuations in quarterly operating results due, among other
factors, to the long sales cycle with enterprise customers and the
size and timing of large customer orders; risks associated with
acquisitions, including the acquisition and integration of
Panopticon; the risk that our goodwill resulting from acquisitions
may become impaired and require a write-down; limitations on the
effectiveness of internal controls; rapid technological change;
Datawatch's dependence on the introduction of new products and
product enhancements and possible delays in those introductions;
competition in the software industry generally, and in the markets
for next generation analytics in particular; Datawatch's dependence
on its principal products, proprietary software technology and
software licensed from third parties; Datawatch's concentration of
customers in the financial sector; risks associated with
international sales and operations; risks associated with indirect
distribution channels and co-marketing arrangements, many of which
were only recently established; the adequacy of Datawatch's sales
returns reserve; risks associated with a subscription sales model;
Datawatch's dependence on its ability to hire and retain skilled
personnel; disruption or failure of Datawatch's technology systems
that may result from a natural disaster, cyber-attack, security
breach or other catastrophic event; and uncertainty and additional
costs that may result from evolving regulation of corporate
governance and public disclosure. 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,
2014 and Form 10-Q for the quarter ending December 31, 2014. Any forward-looking statements
should be considered in light of those factors.
Investor Contact:
Datawatch Investor
Relations
investor@datawatch.com
Phone: +1 (978) 441-2200 ext. 8323
Media Contact:
Sarah Bernardi
Datawatch Corporation
Sarah_Bernardi@datawatch.com
Phone: +1 (978) 441-2200 ext. 8387
Twitter: @datawatch
© 2015 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.