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An organization wants to automate identification of its dissatisfied customers based on the ticket description and assign the appropriate team to provide a quick resolution.
What is the best way to auto-classify the dissatisfied customers as part of processing?
The organization aims to automate the identification of dissatisfied customers based on the ticket description. To achieve this, leveraging natural language processing (NLP) capabilities is the most efficient method. Appian provides connected systems that allow integration with external NLP services. These services can analyze text data (such as ticket descriptions) to determine the sentiment or classify the text into predefined categories (like 'dissatisfied customer').
Natural Language Connected System:
Appian can integrate with third-party NLP platforms such as Google Cloud Natural Language, AWS Comprehend, or Azure Text Analytics via connected systems.
These services analyze the text provided in the ticket description to detect sentiment, keywords, or specific categories indicating dissatisfaction.
Based on the analysis, the system can automatically assign the appropriate team to handle the case.
Why Not Other Options?:
B . Decision Table: While decision tables are useful for rule-based decisions, they are not suitable for interpreting unstructured text like ticket descriptions.
C . Image Analysis Connected System: This option is irrelevant as the task involves text processing, not image analysis.
D . SAIL Form: SAIL forms are primarily used for user interface creation and are not intended for text analysis or classification.
Implementation in Appian:
Create a connected system to integrate with the chosen NLP service.
Configure the NLP service to analyze the text data and return the sentiment or classification results.
Based on the results, use process models to route the ticket to the appropriate team for resolution.
References:
Appian Documentation on Connected Systems: Appian Connected Systems
Appian Community Success Guide: Appian Delivery Methodology
Third-Party NLP Services Integration: Google Cloud NLP Documentation
The HR management team wants to aggregate data to show the number of employees across regions and to be able to drill down into the data.
Which three user story requirements should be collected to assist the development team?
Data Source (A): The first step in building any report is identifying the source of the data. Understanding where the data comes from is crucial because it affects how the data will be queried, filtered, and displayed. It also impacts performance, security, and accuracy of the data. Appian reports can pull data from various sources such as Appian databases, external databases, or even from integrations with other systems. Documenting this information allows the development team to connect the report to the correct data source, ensuring that the report reflects accurate and up-to-date information. Reference: Appian Documentation - Data Sources
Report Type (B): It is essential to define the type of report required. In this scenario, the HR management team wants an aggregate view with drill-down capabilities. The report type will determine how the data is visualized, whether it is a pie chart, bar graph, or tabular format. This user story requirement ensures that the developers design a report that meets the HR team's needs and expectations for viewing and interacting with the data. Reference: Appian Documentation - Creating Reports
Role-Based Permissions (D): Role-based permissions are critical for ensuring that users see only the data they are authorized to access. For instance, while an HR executive might have access to all regions' data, a regional manager might only see data for their specific region. Defining these permissions upfront is vital for security and compliance. The development team will use this information to implement the correct access controls in the report, which is crucial for protecting sensitive employee information. Reference: Appian Documentation - Managing User Permissions
Which Appian object's primary purpose is to define the structure of related data for use in a process model?
A Custom Data Type (CDT) in Appian is primarily used to define the structure of related data. It represents a structured data type composed of multiple fields, and it is often used in process models to define the shape of data that will be passed between different activities or stored in the database.
Custom Data Type (CDT) Overview:
CDTs allow developers to define a complex data structure that can include various data types, such as text, numbers, dates, and even nested CDTs.
They are essential for passing structured data within a process model and between Appian applications and external systems.
Why Not Other Options?:
B . Record: Used to represent a view of data from an external or internal source, focusing on displaying and interacting with that data rather than defining its structure.
C . Constant: Stores a fixed value that can be used throughout the application, but it does not define complex data structures.
D . Expression Rule: Encapsulates logic and calculations but does not define data structures.
References:
Appian Documentation on Custom Data Types: Custom Data Types (CDT)
Using CDTs ensures that the data used within process models is structured and consistent, enabling robust data handling across the application.
A team of employees manages invoice processing and payments for their organization.
Each day, the team receives invoices via email. The team reviews the invoices, sends payments, and logs the payments manually in a shared spreadsheet.
Where is the best opportunity for automation in this manual process?
The best opportunity for automation in the manual process described is to leverage Optical Character Recognition (OCR) and workflow tools. OCR can automatically extract data from the invoices received via email, and the workflow tools can automate the review process, checking the data for accuracy, processing payments, and prompting employees only when exceptions are found.
OCR and Workflow Tools Overview:
OCR technology converts the text in scanned documents or images into machine-readable data, which can be automatically processed.
Workflow tools in Appian can then route the extracted data through a series of steps, automating tasks like data entry, validation, and payment processing.
Automating these steps reduces manual effort, minimizes errors, and ensures that invoices are processed more efficiently.
Why Not Other Options?:
A . Robotic Process Automation (RPA) for thank you messages: This is a less critical part of the process and does not significantly reduce manual work.
B . Creating a task for manual input: This still involves manual data entry, which does not fully utilize automation potential.
C . Macro in the shared spreadsheet: This provides minimal automation and doesn't address the root of the problem, which is manual data entry.
References:
Appian Documentation on OCR Integration: OCR in Appian
Appian Workflow Automation Guide: Automating Processes in Appian
By using OCR and workflow tools, the organization can significantly reduce manual processing time and increase the accuracy of invoice handling.
You are part of an Agile team, and your responsibilities and attributes include:
A keen understanding of the business, the customer, and the market
The ability to clearly express product backlog items
The ability to prioritize the backlog to optimize the value of what the team will deliver
The ability to order the items in the product backlog to best achieve goals and missions.
What is your role name?
The responsibilities and attributes described are aligned with the role of a Product Owner in an Agile team. The Product Owner is responsible for maximizing the value of the product resulting from the work of the development team. They have a deep understanding of the business, customer needs, and market trends, and they use this knowledge to manage and prioritize the product backlog.
Role of Product Owner:
Understanding the Business: The Product Owner must understand the business context to prioritize work that delivers the most value.
Expressing Product Backlog Items: The Product Owner is responsible for defining and clearly expressing the items in the product backlog.
Prioritizing and Ordering the Backlog: The Product Owner prioritizes and orders the backlog items to optimize the team's output and ensure alignment with business goals.
Why Not Other Options?:
A . Appian Analyst: While an Appian Analyst may have some similar responsibilities, the specific role of managing the product backlog and optimizing the value delivered by the team is the core responsibility of the Product Owner.
B . Scrum Master: The Scrum Master facilitates the Scrum process but does not manage the product backlog.
D . Sponsor: The Sponsor typically provides financial support and strategic direction but does not manage day-to-day product backlog activities.
References:
Appian Community Success Guide: Roles in Agile Teams
The Product Owner role is crucial in ensuring that the development team is working on the most valuable features and that the product aligns with business and market needs.
