Save time, empower your teams and effectively upgrade your processes with access to this practical Fraud Analytics Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Fraud Analytics related project.
Download the Toolkit and in Three Steps you will be guided from idea to implementation results.
The Toolkit contains the following practical and powerful enablers with new and updated Fraud Analytics specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Fraud Analytics Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.
Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…
- Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation
Then find your goals...
STEP 2: Set concrete goals, tasks, dates and numbers you can track
Featuring 993 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Fraud Analytics improvements can be made.
Examples; 10 of the 993 standard requirements:
- In what ways does cloud-based predictive analytics and modeling improve the speed and agility of fraud detection model development and deployment, and what are the implications for staying ahead of emerging fraud threats?
- What types of data sources should a fraud analytics platform be able to integrate with to effectively identify and prevent sanctions violations, such as customer databases, transactional data, and external watchlists?
- How can fraud analytics help identify and mitigate environmental risks such as illegal wildlife trafficking, deforestation, and pollution through the analysis of transactional data and suspicious activity reporting?
- In what ways does cloud-based predictive analytics and modeling improve the consistency and reliability of fraud detection outcomes, and what are the implications for reducing false positives and false negatives?
- How can we balance the need to prevent fraudulent claims with the importance of providing fair and affordable insurance options to all customers, and what role can fraud analytics play in achieving this balance?
- Can fraud analytics help us identify opportunities to offer premium discounts or other incentives to customers who demonstrate low-risk behaviors, and how might this impact customer loyalty and retention?
- What mechanisms do we have in place to facilitate continuous learning and professional development for our fraud analytics team in response to changing regulatory requirements and industry standards?
- Can fraud analytics help us identify opportunities to offer targeted risk management services or loss control programs to high-risk customers, and how might this impact claims frequency and severity?
- How does our fraud analytics program currently incorporate crisis management and communications planning, and how could we improve our use of these techniques to enhance business continuity planning?
- What is our approach to integrating machine learning and artificial intelligence into our fraud analytics program to improve adaptability to changing regulatory requirements and industry standards?
Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:
- The workbook is the latest in-depth complete edition of the Fraud Analytics book in PDF containing 993 requirements, which criteria correspond to the criteria in...
Your Fraud Analytics self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:
- The Self-Assessment Excel Dashboard; with the Fraud Analytics Self-Assessment and Scorecard you will develop a clear picture of which Fraud Analytics areas need attention, which requirements you should focus on and who will be responsible for them:
- Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
- Gives you a professional Dashboard to guide and perform a thorough Fraud Analytics Self-Assessment
- Is secure: Ensures offline data protection of your Self-Assessment results
- Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:
STEP 3: Implement, Track, follow up and revise strategy
The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Fraud Analytics projects with the 62 implementation resources:
- 62 step-by-step Fraud Analytics Project Management Form Templates covering over 1500 Fraud Analytics project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Management Plan: Is an industry recognized mechanized support tool(s) being used for Fraud Analytics project scheduling & tracking?
- Stakeholder Management Plan: How are stakeholders chosen and what roles might they have on a Fraud Analytics project?
- Quality Metrics: Can you correlate your quality metrics to profitability?
- Risk Audit: Do you ensure the recommended rules of play and protocols are followed for your activity?
- WBS Dictionary: Is all budget available as management reserve identified and excluded from the performance measurement baseline?
- Variance Analysis: What is the expected future profitability of each customer?
- Lessons Learned: How satisfied are you with your involvement in the development and/or review of the Fraud Analytics project Scope during Fraud Analytics project Initiation and Planning?
- Human Resource Management Plan: Have process improvement efforts been completed before requirements efforts begin?
- Procurement Audit: How do you deal with budget constrains and assurance needs?
- Roles and Responsibilities: What should you do now to ensure that you are meeting all expectations of your current position?
Step-by-step and complete Fraud Analytics Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Fraud Analytics project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Fraud Analytics project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Fraud Analytics project Scope Statement
- 2.7 Assumption and Constraint Log
- 2.8 Work Breakdown Structure
- 2.9 WBS Dictionary
- 2.10 Schedule Management Plan
- 2.11 Activity List
- 2.12 Activity Attributes
- 2.13 Milestone List
- 2.14 Network Diagram
- 2.15 Activity Resource Requirements
- 2.16 Resource Breakdown Structure
- 2.17 Activity Duration Estimates
- 2.18 Duration Estimating Worksheet
- 2.19 Fraud Analytics project Schedule
- 2.20 Cost Management Plan
- 2.21 Activity Cost Estimates
- 2.22 Cost Estimating Worksheet
- 2.23 Cost Baseline
- 2.24 Quality Management Plan
- 2.25 Quality Metrics
- 2.26 Process Improvement Plan
- 2.27 Responsibility Assignment Matrix
- 2.28 Roles and Responsibilities
- 2.29 Human Resource Management Plan
- 2.30 Communications Management Plan
- 2.31 Risk Management Plan
- 2.32 Risk Register
- 2.33 Probability and Impact Assessment
- 2.34 Probability and Impact Matrix
- 2.35 Risk Data Sheet
- 2.36 Procurement Management Plan
- 2.37 Source Selection Criteria
- 2.38 Stakeholder Management Plan
- 2.39 Change Management Plan
3.0 Executing Process Group:
- 3.1 Team Member Status Report
- 3.2 Change Request
- 3.3 Change Log
- 3.4 Decision Log
- 3.5 Quality Audit
- 3.6 Team Directory
- 3.7 Team Operating Agreement
- 3.8 Team Performance Assessment
- 3.9 Team Member Performance Assessment
- 3.10 Issue Log
4.0 Monitoring and Controlling Process Group:
- 4.1 Fraud Analytics project Performance Report
- 4.2 Variance Analysis
- 4.3 Earned Value Status
- 4.4 Risk Audit
- 4.5 Contractor Status Report
- 4.6 Formal Acceptance
5.0 Closing Process Group:
- 5.1 Procurement Audit
- 5.2 Contract Close-Out
- 5.3 Fraud Analytics project or Phase Close-Out
- 5.4 Lessons Learned
Results
With this Three Step process you will have all the tools you need for any Fraud Analytics project with this in-depth Fraud Analytics Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Fraud Analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- Implement evidence-based best practice strategies aligned with overall goals
- Integrate recent advances in Fraud Analytics and put process design strategies into practice according to best practice guidelines
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'
This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Fraud Analytics investments work better.
This Fraud Analytics All-Inclusive Toolkit enables You to be that person.
Includes lifetime updates
Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
