Streamlining Data Discrepancy Management with Intelligent Chatbots

Streamlining data discrepancy management using intelligent chatbots can significantly improve efficiency and accuracy in handling inconsistencies. Here are some key steps and benefits:

Steps to Implement Chatbots for Data Discrepancy Management
Data Collection and Integration:

Centralize Data Sources: Integrate various data sources into a unified system for easy access and comparison.
Real-time Data Access: Ensure the chatbot can access and pull real-time data from multiple systems.
Discrepancy Detection:

Automated Monitoring: Use machine learning algorithms to continuously monitor data for inconsistencies.
Rule-based Alerts: Set up rules and thresholds for what constitutes a discrepancy to trigger alerts.
User Interaction:

Natural Language Processing (NLP): Implement NLP to understand and process user queries about discrepancies.
User-friendly Interface: Design a conversational interface where users can easily report, query, and resolve discrepancies.
Resolution Workflow:

Automated Resolution: For simple discrepancies, the chatbot can automatically correct data based on predefined rules.
Human-in-the-loop: For complex cases, the chatbot can escalate issues to human agents, providing all necessary context and data.
Feedback Loop: Enable users to provide feedback on resolutions to improve the system’s accuracy and efficiency.
Continuous Learning and Improvement:

Machine Learning Integration: Use machine learning to analyze past discrepancies and resolutions to improve detection and resolution accuracy.
Regular Updates: Continuously update the system with new rules, data sources, and user feedback.

1. Welcome STREAMLINING DATA DISCREPANCY MANAGEMENT WITH INTELIGENT CHATBOTS S. VENGADESAN B.PHARMACY STD ID: 056/052024 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 1

2. INDEX What Is Data Discrepancy? Introduction of data discrepancy management Introduction To Intelligent Chatbots How Chatbots Help In Data Discrepancy Management Chatbots Development Benefits of Using Chatbots Tools and Technologies Conclusion 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 2

3. WHAT IS DATA DISCREPANCY? Data discrepancy is defined as a data point that fails to pass a validation check. Discrepancy may due to Inconsistent data, Missing data, Range checks, Data deviation from the protocol, Human error and Data entry mistakes. Data discrepancies can affect the accuracy and reliability of data analysis and decision making process. 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 3

4. INTRODUCTION OF DATA DISCREPANCY MANAGEMENT DATA DISCREPANCY MANAGEMENT : Data discrepancy management is the most critical activity in the CDM process. Being the vital activity in cleaning up the data. This is also called query resolution. All the discrepancies data will be recorded and stored with audit trial. Discrepancy management includes, Reviewing discrepancies Investigating the reason Resolving them with documentary proof 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 4

5. INTRODUCTION TO INTELIGENT CHATBOTS The chatbots are computer programs that stimulate human conversation, using AI to interact with users and provide assistance. This capability is primarily enabled by Natural language processing (NLP), Machine learning (ML), Neural networks and Other AI technologies. 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 5

6. HOW CHATBOTS HELP IN DATA DISCREPANCY REAL-TIME MONITERING : They can monitor data in real-time and send alerts when discrepancies are detected and this enables immediate action and prevents errors from propagating. DATA VALIDATION : Chatbots can validate data entries, ensuring that data conforms to expected formats and ranges, reducing the likelihood of discrepancies. USER INTERACTION AND QUERY HANDLING : Users can interact with chatbots to query data discrepancies. Chatbots can provide explanations, suggest potential reasons, and guide users through resolution steps. INTEGRATION WITH DATA MANAGEMENT TOOLS : Chatbots can integrate with data management tools and databases to access and cross-verify data, ensuring consistency and accuracy across systems. CONTINUOUS LEARNING AND IMPROVEMENT : With machine learning capabilities, chatbots can learn from past discrepancies and improve their detection and resolution processes over time. 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 6

7. CHAT BOTS DEVELOPMENT 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 7 START INPUT DATA STREAM MONITOR DATA IN REAL-TIME DETECT DISCREPANCY RECONCILE DATA ALERT USER VALIDATE DATA ENTRIES USER QUERIES DISCREPANCY END / CONCLUSION GENERATE DISCREPANCY REPORTS INTEGRATE WITH DATA MANAGEMENT TOOLS PROVIDE RESOLUTION STEPS IDENTIFICATION OF DATA DISCREPANCY BY USING CHATBOTS

8. BENEFITS USING CHATBOTS REAL-TIME DETECTION AND ALERTS : IMMEDIATE ACTION,INSTANT NOTIFICATION AUTOMATION OF ROUTINE TASKS : EFFICACY, CONSISTENCY COST SAVING : REDUCED LABOR COST, MINIMIZED ERRORS IMPROVED DATA QUALITY : ACCURATE DATA ENHANCED USER INTERACTION : 24/7 AVAILABILITY, USER FRIENDLY INTERFACE SCALABILITY : HANDLING LARGE VOLUME OF DATA, ADAPTABILITY DATA REPORTING: DECISION MAKING PREDECTIVE ANALYSIS : THEY CAN PREDICT POTENTIAL DISCREPANCIES BEFORE THEY OCCURS. ENHANCED AUDITABILITY AUDIT TRAIL : THRY CAN MAINTAIN DETAILED LOGS OF ALL ACTION IN AUDITING. REGULATORY ADHERENCE : THEY HELP ENSURE THAT DATA HANDLING PRACTICES MEET REGULATORY STANDARDS. 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 8

9. TOOLS AND TECHNOLEGIES NLP Frameworks : SpaCy , NLTK, Hugging Face Transformers ML Libraries : TensorFlow, PyTorch , Scikit -learn Data Integration Tools : Apache Kafka, Talend, Power BI Chatbot Platforms : Dialogflow , Microsoft Bot Framework, Rasa 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 9

10. CONCLUSION In Conclusion, Managing Data Discrepancies Is Crucial For Ensuring The Accuracy And Reliability Of Data In Clinical Data Management. Intelligent Chatbots Offers Significant Advantages In This Process By Providing Real-time Monitoring, Data Validation And User Interaction Their Integration With Data Management Tools And Continuous Learning Capabilities Enhance Data Quality, Reduce Costs And Improve Efficiency. 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 10

11. Thank You! www.clinosol.com (India | Canada) 9121151622/623/624 [email protected] 06/15/2024 www.clinosol.com | follow us on social media @clinosolresearch 11