Analytics for all

10 ways Datawatch Monarch and Watson Analytics can help you

Blog Home > 10 ways Datawatch Monarch and Watson Analytics can help you

10 ways Datawatch Monarch and Watson Analytics can help you


Reading Time: 2 minutes

As data volumes and sources continue to expand at an accelerating rate, analysts spend up to 80 percent of their day collecting data from numerous sources such as the web, PDFs, text reports and log files to prepare it for analysis. Analysts are further challenged to make this data actionable as the use of self-service data discovery and business analytics increases.

Diluting the data deluge

The alliance between Datawatch and IBM Watson Analytics offers businesses the fast and easy-to-use applications that significantly reduce time spent on data extraction, data preparation and sense-making. Datawatch Monarch works with a wide range of report formats, including PDF, XML, HTML, text, spool and ASCII files. Analysts and other users can easily access data from invoices, sales reports, balance sheets, customer lists, inventory, logs and more. Data is then cleansed and consolidated and sent directly to Watson Analytics.

Datawatch_Monarch_Watson_Analytics

Analysts are free to analyze…and so are you

No only can analysts can now focus on translating their data into business value and insights, but you can also use the powerful cognitive computing of Watson Analytics to find insights in data that has been prepped to make analysis more accurate. The intuitive and visual experience enables you to create and deliver relevant and up-to-date decision support in the form of visual data discovery dashboards and reports to their entire organization. The combination of Datawatch data preparation and Watson Analytics means that all available data is included.

How can Datawatch Monarch for IBM Analytics help you? Let’s count the ways

Here are the top 10 ways Monarch data preparation helps IBM Watson Analytics users:

  1. Simple to use. Prepare all types of data by working directly with it.
  2. Automatic data extraction. Drag and drop, no scripting skills required.
  3. Web page data extraction. Capture just the data without other page “noise”
  4. Instant understanding. Visually navigate and filter data and metadata of any size
  5. Multiple source connectivity. Out-of-the-box connectivity tools link to all major relational databases, Hadoop, NoSQL, Salesforce.com and more.
  6. Prep visibility. Automatically capture every change made for transparency.
  7. Process automation. Save prep steps for reuse and reapplication
  8. Powerful algorithms. Easily join disparate data without being a data scientist
  9. Report consolidation. Append tables with a single mouse click
  10. Watson-ready. Prepped data exports directly into IBM Watson Analytics, ready for analysis

Want more?

Download The Ultimate Analyst Guide to Preparing Data for IBM Watson Analytics to learn more about the benefits of faster data preparation, register to attend a free demo to see Datawatch Monarch in action, or download your free trial today!

Watson Analytics is always free. Find out how to sign up at www.watsonanalytics.com.

About the guest blogger

Dan Potter is Chief Marketing Officer at Datawatch Corporation. In this role, Dan is responsible for the worldwide marketing communications, product marketing and go-to-market strategies for Datawatch. Prior to Datawatch, Dan led the product marketing and go-to-market strategy for IBM’s personal and workgroup analytics products and before that, he held senior roles at Oracle, Progress, and Attunity where he was responsible for identifying and launching solutions across a variety of emerging markets including cloud computing, real-time data streaming, federated data, and e-commerce.

Leave a Comment
3 Comments

Leave a Reply

Your email address will not be published.Required fields are marked *

Bobbi Lamia Aug 08, 2016

Thanks for the good blog!

1 Replies

Your email address will not be published.Required fields are marked *

Forsyth Alexander Aug 08, 2016

You’re welcome! Glad you enjoyed it.

0 Replies

Your email address will not be published.Required fields are marked *

Forsyth Alexander Aug 31, 2016

Thank you!

0 Replies

Your email address will not be published.Required fields are marked *

More Analytics for all Stories

Analytics for all

Timothy Walker

Join us at these March 2019 IBM Business Analytics partner events!

IBM Business Analytics partner events offer a great opportunity to learn more about our products, get questions answered, and connect with industry peers.

Analytics for all

Timothy Walker

Get a jump on Think 2019 with “Smart Starts Here” sessions

The IBM Think 2019 conference includes a set of exclusive limited-seating sessions and hands-on labs in our Smart Starts Here track. Sign up now!

Analytics for all

Timothy Walker

Time to register for Think 2019!

IBM's blockbuster Think 2019 conference is coming up! Join us in San Francisco on February 12–15 to sharpen your skills, see the latest technology, and extend your professional network.