Key Components of a Successful Automation Implementation

Automation is becoming very popular in organizations as they seek to become more productive, decrease costs, and improve manual error-prone processes. At TDWI, we see that automation is occurring across the data and analytics life cycle. In a recent TDWI survey, for instance, approximately 25% each of the respondents cited automation for data management and analytics as a top priority.

Traditional automation includes a range of technologies that reduce human intervention in processes. Examples include data entry or trouble ticket submission. However, more recently, advanced analytics such as machine learning and natural language processing is being infused into automation tools to improve business outcomes. This is often referred to as cognitive automation and it is used to perform tasks typically performed by humans. This intelligent automation is also being used together with Robotic Process Automation (RPA) to improve processes involving suppliers, vendors, customers, and more.

Join this TDWI webinar to learn more about automation, RPA, and how to ensure a successful automation implementation. Topics include:

  • An introduction to automation, intelligent automation, and RPA
  • How automation is being used in companies; both for data and analytics as well as to improve processes
  • Organizational and technology best practices for implementing automated solutions

Fern Halper, Ph.D. TDWI VP Research, Sr. Director Research Advanced Analytics
Andrew Hayden, Senior Product Marketing Manager, Precisely

Key components of a successful automation implementation
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