BEDFORD, Mass., Nov. 02, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ-CM: DWCH ) today announced Datawatch Monarch for Tableau, a customized version of its market-leading self-service data preparation (prep) solution that enables Tableau users to speed time-to-insight from visual analysis. With this new solution, users can rapidly access, manipulate and blend data from the widest variety of sources, including PDF documents and other multi-structured dark data sources, and then export it directly into the Tableau platform for analysis and visualization. In conjunction with this moderately-priced release at $39 per user per month, Datawatch is also offering a competitive trade-in program for current Alteryx users, providing Monarch for Tableau free for the remainder of their existing contract.
Self-service analytics solutions, such as Tableau, have significantly grown in popularity over the last few years because of their promise to help users generate business results faster. However, business users still struggle with obtaining, accessing and preparing information, rather than focusing on the actual analysis and visualization of results. Alternative solutions are price prohibitive for multiple users in an organization and bring a complex user experience that is challenging for most business analysts. The Monarch for Tableau solution and Alteryx trade-in program are designed specifically to address these obstacles, allowing every business user the ability to unlock, prepare and blend dark data for faster insights.
Datawatch Monarch for Tableau allows any business user to access data from virtually any source, including multi-structured and unstructured documents such as enterprise reports, web pages, relational databases, cloud-based data sources, PDFs, JSON and log files. Users gain access to not only the right data, but all of the data, which is crucial to getting a holistic view of the business, and can prepare this information in a fraction of the time that it takes using spreadsheets and other manually intensive methods.
“Pulling and organizing data from sources across the organization is a time-consuming process, especially as the majority of data is difficult to access and not in an ‘analysis-ready’ format,” said Jen Underwood, industry analyst and former Tableau Zen Master. “This ‘dark data’ is often the most valuable to achieve comprehensive insight into business operations, and leaving it out of the analysis process can result in decisions being made based on incomplete information. Datawatch Monarch is a market leader in enterprise-ready, easy-to-use self-service data prep. Tableau users will greatly benefit from the ability to access and transform this formerly unusable data into a format that can be effortlessly uploaded, visually displayed and easily analyzed."
Additional features of Datawatch Monarch for Tableau include:
- Simple, Yet Advanced Data Preparation – Drop a file or document on a prep canvas, and data is instantly available in rows and columns. More than 100 pre-built functions, including deduplication, fuzzy matching and negative joins, are available to transform and manipulate data with simple mouse clicks.
- The Ability to Work with Very Large Data Sets – Perform data prep on a subset of loaded data first for improved data processing speed and efficiency, and then apply finalized workflows to the full data set before uploading for visual analysis.
- Built-in Security and Information Governance – Leverage features such as data masking to protect sensitive information, including patient names and social security numbers, and meet regulatory requirements.
- Optional Automation Server – Augment with Monarch Server Automation Edition to define, schedule and execute repeatable data prep processes.
“With analysts predicting that data amounts and information sources will continue to grow exponentially, the ability to find, access and prepare the right data for analysis is more important than ever,” said Jon Pilkington, chief product officer at Datawatch. “Datawatch Monarch for Tableau empowers Tableau users with this capability, enabling them to expedite data analysis and visualizations for informed business decision making, improved collaborative processes and a holistic view of company operations.”
Tableau Conference 2016 Datawatch will be exhibiting at the Tableau Conference , taking place Nov. 7-11 in Austin, Texas. For more details on the Datawatch Monarch for Tableau solution, stop by the company booth (No. 501), or attend the 10:45 a.m. CT hands-on training session on Tuesday, Nov. 8: “Meet Monarch: The Most Powerful Self-Service Data Prep Solution for Tableau, from Datawatch.”
To hear a real-world use case, listen to Michael Duke of KPMG, a Datawatch and Tableau joint customer, speak about how the Healthcare and Life Sciences Practice at KPMG has been utilizing both platforms for more than three years to expedite assessments of its clients’ financial performance. Duke’s session, “KPMG Delivers Better Insights Faster With Self-Service Data Preparation,” will take place on Wednesday, Nov. 9 at 10:45 a.m. CT.
Pricing and Availability Datawatch Monarch for Tableau is available now for $39 per user per month. Alteryx users interested in the trade-in program can contact Datawatch sales at 1-800-445-3311.
To learn more about the solution, go to http://www.datawatch.com/our-platform/monarch/ .
About Datawatch Corporation Datawatch 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 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 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
