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Introduction

As the self-service movement grows, unstructured data will become more important. Datawatch Monarch provides purpose-built data prep that excels in core functionality and provides exceptional dexterity with unstructured and semi-structured sources.

Highlights

  • Datawatch Monarch excels at handling semi-structured and unstructured data types, and easily extracting alpha, numerical, and date data from documents such as PDFs.
  • The Datawatch Monarch product covers a vast array of basic and advanced data prep functionality, providing for a “one-stop shop” for all data prep needs.
  • While Datawatch Monarch uses machine learning for many aspects of its functionality, the company still has room for strategic growth and development in this area.

Features and Benefits

  • Assesses the strengths, weaknesses, opportunities, and threats pertaining to the Datawatch Monarch data prep platform.
  • Evaluates the role of unstructured and semi-structured data in the data prep process, and identifies Datawatch Monarch's capabilities in handling these data types.
  • Identifies the core data prep capabilities and functionality of the Datawatch Monarch platform.
  • Evaluates Datawatch's strategy for integration and compatibility with BI, visualization, and analytics platforms.
  • Assesses the role of machine-learning-powered functionality in the Datawatch Monarch platform and the Datawatch business strategy.

Key questions answered

  • What are the strengths, weaknesses, opportunities, and threats as they pertain to the Datawatch Monarch platform?
  • What type of enterprise organization would benefit most from the features and functionality of the Datawatch Monarch platform?
  • Why is the proficient handling of semi-structured and unstructured data sources a key differentiator for the Datawatch Monarch product?
  • How does the Datawatch Monarch data prep platform fit into an existing IT ecosystem that includes self-service analytics and visualization tools?
  • What is Datawatch's business strategy amidst the rise of data prep capabilities embedded within visualization tools and the growth of third-party data catalog vendors?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why consider Datawatch Monarch?

SWOT analysis

  • Strengths
  • Weaknesses
  • Opportunities
  • Threats

Data sheet

  • Key facts about the solution

Appendix

  • Methodology
  • Further reading
  • Author

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