Datawatch Corporation declared the general availability of Datawatch Monarch version 13, its flagship data preparation solution. This new product release significantly extends the range of data sources and provides a simple point-and-click interface built on top of the world’s most powerful data preparation engine. Now users from novice business users to data scientists can easily unlock and use all of the data needed to make better, more timely business decisions with self-service data preparation capabilities.
The distinctive capabilities provided with the Datawatch Monarch v13 include:
Access to any data – Unlock data including multi-structured documents such as PDFs, text and spool files, as well as all major relational databases, Salesforce.com, web pages, CSV and more from the widest range of data sources.
Point-and-click ease – Often to suggest that they are very easy to use, requiring that the user simply point to indicate their wishes. There are more prebuilt data manipulation functions so that you can instantly become experts at analyzing Big Data.
Use existing reports – You can use existing reports in formats like PDF or TXT and automatically bring this data directly into your analysis. You can also unlock data in customer invoices, purchase orders, third party research and any document if required. There is no rekeying or scripting, Datawatch automatically examines the document and extracts all the appropriate data into a tabular, spreadsheet-like display.
Drag-and-drop web pages – Now you can add important data like competitive pricing or market research that is only available via the web by using content from a web page as a data source.
Stop Excel chaos – You can now easily combine excel files and multiple spreadsheets, prepare the data, and export back to a fully formatted spreadsheet that everyone needs.
Export to your favorite tool – It provides you functionality for your saved data which may be in different format can immediately visualize your results not only in Datawatch Designer, but in other popular BI and advanced analytics tools like Tableau, Qlik, IBM Watson Analytics, Tibco Spotfire, SAS, SAP Lumira, Dell Statistica, Excel and many others.
Greater trust –Every step you take in preparing your data is noted in simple understandable format. This gives greater confidence & trust when shared with others. These recorded steps are also used as a load plan to fully convert a process when you need to do it again.
Promote reuse – You can stop all the redundant work, as your data preparation routines can be shared with others
Enterprise-ready – Monarch , part of the Datawatch Managed Analytics Platform , that delivers an enterprise-wide solution for data preparation & visual data discovery. Datawatch is the only solution that can connect the ease-of-use & agility that business users demands together with the scalability, automation and governance needed by IT.
As stated by Gartner, “New self-service data preparation capabilities provide users with greater agility to respond to new data sources & new business requirements, challenging business intelligence leaders who adhere to more centralized data modeling approaches. Failure of BI leaders to embrace self-service data preparation will leave slower-to-respond companies at a competitive disadvantage through an inability to fully exploit relevant data sources.”
Michael A. Morrison, president and chief executive officer of Datawatch said, “We have a unique perspective on this challenge as over 40,000 customers have relied on Datawatch Monarch to handle the most complex data preparation tasks over the course of the past two decades. The disruptive growth of self-service analytics has been driven by the need for greater agility but this promise has not been fully realized as the vast majority of effort is now spent on data preparation, not analysis. The challenge is only becoming more acute as the fastest growing sources of data are not in neatly structured databases, but in an ever growing set of diverse formats. Datawatch is uniquely positioned to finally democratize data access for everyone.”
– Sonal Burghate