Cognitive Solutions and RPA Analytics

Go to Course: https://www.coursera.org/learn/cognitive-solutions-rpa-analytics

Introduction

### Course Review: Cognitive Solutions and RPA Analytics on Coursera In today’s digital age, the ability to efficiently process and analyze vast amounts of data is crucial for any organization. The course titled **Cognitive Solutions and RPA Analytics** on Coursera offers a comprehensive exploration of how companies can leverage cognitive automation alongside Robotic Process Automation (RPA) to optimize their data management processes. #### Course Overview As millions of companies navigate through diverse and often unstructured data formats, the traditional RPA approach, which thrives on structured data, presents limitations. This course addresses that gap by introducing cognitive automation—an advanced technique that enables RPA systems to intelligently process and learn from varied data layouts. The course is designed for professionals looking to enhance their understanding of both RPA and cognitive technologies, ultimately offering a way to operate more efficiently and effectively. #### Course Syllabus Breakdown 1. **Understanding IQ Bot and Creating an Instance** - The first module dives into the foundational elements of cognitive automation. You will explore the IQ Bot, a powerful cognitive solution tailored for document processing. Key learnings include: - The six-step process to deploy cognitive automation. - Navigating the IQ Bot portal. - Creating instances and analyzing documents to produce document groups based on their structure. This module is particularly insightful as it sets the groundwork for understanding how cognitive automation can handle variable data efficiently. 2. **Performing Bot Training, Production Processing, and Document Validation** - The second module focuses on the practical application of cognitive automation through bot training and validation. Here, participants learn about: - Training bots to identify fields, tables, and complex document features like checkboxes. - Document validation processes to ensure data accuracy. - Monitoring production processing for operational efficiency. This segment is valuable for those looking to deploy real-world applications of IQ Bot, as it covers crucial aspects of training and validating the bot’s learning outcomes. 3. **Generating RPA Analytics** - The final module introduces participants to RPA analytics and how insights can be derived from automated processes. This section covers: - The Bot Insight application and its various analytics capabilities. - Generating operational analytics and utilizing the Web Control Room. - Customizing and publishing dashboards, including the use of RPA mobile apps for real-time insights. This module is especially beneficial for analytics-minded professionals who want to understand how to assess and improve their automation processes through data. #### Recommendations The **Cognitive Solutions and RPA Analytics** course is highly recommended for: - **Business Analysts and Data Professionals**: If you deal with data processing and wish to influence your organization's automation strategies, this course equips you with the necessary skills to enhance productivity. - **IT Professionals and Developers**: Understanding cognitive automation deepens your toolkit and allows you to implement more complex automation solutions. - **Project Managers and Business Leaders**: With clear insights into how cognitive RPA can improve efficiency, you will be well-positioned to advocate for the adoption of these technologies in your organization. ### Conclusion Cognitive Solutions and RPA Analytics stands out as an essential course to understand the future of data processing in business. With its clear syllabus and practical applications, learners are equipped with both theoretical knowledge and practical skills. By the end of the course, you will be more prepared to handle unstructured data effectively, implement robust automation solutions, and generate actionable insights for your business. Don’t miss the opportunity to elevate your skills in cognitive automation and RPA—enroll today!

Syllabus

Understanding IQ Bot and Creating an Instance

In this module, you will explore the concept of cognitive automation, the six-step process of deploying a cognitive automation, IQ Bot as a cognitive solution, the basics of the IQ Bot portal, and the IQ bot workflow at a high-level. You will also learn to perform the first two steps of the IQ Bot workflow: Instance creation and Document analysis. After this, you will use the IQ Bot portal to create (and edit) a learning instance and trigger document analysis that produces document groups, depending on the input documents’ layout and content.

In this module, you will learn to perform the remaining four steps of the IQ Bot workflow: Bot training, in context of fields and tables; Bot training, with focus on check boxes and repeated sections; Production processing; Document validation; and Progress monitoring. You will use the Designer on the IQ Bot portal to perform each of these steps.

In this module, you will explore the concept of analytics and how it is applied within RPA, get introduced to the Bot Insight application, and learn about the different types of analytics. You will also learn how to generate operational analytics on the Web Control Room. You will then explore Bot Insight’s user interface and features and learn how to deploy it using APIs. Next, you will explore the various roles who generate or view business analytics, and learn how to generate them on Bot Insight. You will also explore the CoE Dashboard on Bot Insight and learn how to configure, customize, and publish this dashboard. Finally, you will see how the RPA mobile app can be used to study and edit the default CoE dashboard that is published via Bot Insight.