Data Preparation for IBM Watson Analytics and Cognos Analytics

On March 14, Datawatch and IBM made a major announcement to where IBM will be reselling Datawatch as a self-service data preparation solution for IBM Watson Analytics and Cognos Analytics. Click here to read more about the announcement.

With Datawatch Monarch, IBM business intelligence users can now rapidly prepare data from virtually any information source from traditional databases to multi-structured documents, such as PDF and text reports, web pages, JSON, and log files. Data can now be prepared for analysis in a fraction of the time that it takes using spreadsheets and other manually intensive measures.

Additional features of Datawatch Monarch for IBM Watson Analytics and Cognos Analytics include:

  • Simple 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 are available to transform and manipulate data with simple mouse clicks
  • Disparate data integration – Quickly combine dissimilar data using a join analysis recommendation engine with fuzzy matching
  • Sharing and automation – Data preparation steps are automatically saved in human-readable format for transparency and reuse
  • Security and information governance – Leverage features such as data masking to protect sensitive information such as patient name or social security numbers to meet regulatory requirements

Learn more about how Monarch compliments Watson and Cognos Analytics

 

The Ultimate Analyst Guide to Preparing Data for IBM Watson Analytics

With the advent of self-service analytics platforms such as IBM Watson Analytics, data scientists, data analysts and even ordinary business users can turn their data into intelligence that drives decision-making and delivers business value. As a result, a world of new opportunities, once hidden beneath a debris of datasets, has emerged.

However, to yield maximum ROI from Watson Analytics’ capabilities, organizations must feed their data into it in a structured, analysis-ready format. The process of collecting, manipulating and blending data from a variety of sources and preparing it for analysis is known as data preparation, and research has found that analysts spend up to 80 percent of their time manually preparing data, which doesn’t leave many hours in the day for analysis.

Download this guide now to learn how to analyze more data, faster!

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A deep and broad relationship between IBM and Datawatch

IBM and Datawatch have a long history of working together to solve the analytic challenges of our joint clients.

  • Datawatch Monarch is resold by IBM to prepare data for IBM Watson and Cognos Analytics
  • Datawatch RMS Server is resold by IBM to extract data from documents in IBM Content Manager On Demand
  • Datawatch Panopticon is the recommended real-time visualization solution for IBM Streams
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