Predictive Analytics Toolkit

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Make your data valuable for predictive analytics and measure risks through data analysis

 

Do analytics team members have access to financial risk sharing models to use Predictive Analytics?

What level of investment Is your organization making in integrating transactional data with Predictive Analytics?

What Is Predictive Analytics being used for in your organization?

What should your organization use to build, test, and deploy Predictive Analytics solutions?

Where Is Predictive Analytics used in your organization?




...Find the answers to these, and more, questions with this Predictive Analytics Toolkit:

  • Get your staff to use the brand new Predictive Analytics solutions.
  • Use Predictive Analytics to improve your process and manage risk.
  • Bring together and analyze all of your data at once structured and unstructured and use it to deliver innovative new data and analytics products and services.
  • Incorporate Predictive Analytics and advanced machine learning into your organizations processes.
  • Determine if your organization would benefit from using predictive project analytics.
  • Optimize your multichannel strategy with Predictive Analytics.
  • Apply Predictive Analytics, risk sensing, and other smart technologies to improve your risk management and decision support capabilities.
  • Apply predictive to your business.
  • Start data modeling in a way that is meaningful to your business.



HOW THIS TOOLKIT WORKS:

Save time, empower your teams and effectively upgrade your processes with access to this practical Predictive Analytics Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Predictive 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 Predictive Analytics specific requirements:


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Predictive 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 992 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Predictive Analytics improvements can be made.

Examples; 10 of the 992 standard requirements:

  1. How do you use existing technology as part of a seamless flow of information to leverage analytics across many different systems so policing can be proactive and even predictive?

  2. How to manage the usage and development of a predictive analytics model which is used simultaneously by multiple business units and managers?

  3. How does your organization establish a data analytics foundation and ensure that predictive modeling results be utilized effectively?

  4. What are the primary barriers today that prevent you from turning your data into insight that can direct marketing where to go next?

  5. How do other organizations take advantage of cloud architecture and leverage predictive analytics models to enable fraud detection?

  6. What is the role of sensing, predictive analytics, and artificial intelligence in creating crowd awareness and responsive venues?

  7. How can a healthcare organization prepare for a future in which technology is changing rapidly and facilitating rapid changes?

  8. How to deal with liability issues for someone who acts on incomplete data and gets an outcome undesirable by the individual?

  9. What role does data, data analytics and predictive analytics play in identifying, closing and anticipating capability gaps?

  10. Does it have the capacity to partner with the vendor and create an integration plan for the predictive analytics tool?


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 Predictive Analytics book in PDF containing 992 requirements, which criteria correspond to the criteria in...

Your Predictive 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 Predictive Analytics Self-Assessment and Scorecard you will develop a clear picture of which Predictive 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 Predictive 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 Predictive Analytics projects with the 62 implementation resources:

  • 62 step-by-step Predictive Analytics Project Management Form Templates covering over 1500 Predictive Analytics project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Decision Log: What eDiscovery problem or issue did your organization set out to fix or make better?

  2. Probability and Impact Assessment: Does the Predictive Analytics project team have experience with the technology to be implemented?

  3. Requirements Documentation: What marketing channels do you want to use: e-mail, letter or sms?

  4. Source Selection Criteria: Do you have a plan to document consensus results including disposition of any disagreement by individual evaluators?

  5. Cost Baseline: Have all approved changes to the Predictive Analytics project requirement been identified and impact on the performance, cost, and schedule baselines documented?

  6. WBS Dictionary: Are authorized changes being incorporated in a timely manner?

  7. Project Management Plan: What should you drop in order to add something new?

  8. Probability and Impact Matrix: What should be the gestation period for the Predictive Analytics project with this technology?

  9. Schedule Management Plan: Is the assigned Predictive Analytics project manager a PMP (Certified Predictive Analytics project manager) and experienced?

  10. Project Charter: Name and describe the elements that deal with providing the detail?

 
Step-by-step and complete Predictive Analytics Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Predictive Analytics project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Predictive 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 Predictive 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 Predictive 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 Predictive 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 Predictive 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 Predictive Analytics project with this in-depth Predictive Analytics Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Predictive 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 Predictive 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 Predictive Analytics investments work better.

This Predictive 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.





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CONTENTS:


Checklists:


Checklists:Predictive Analytics Checklist Report on IMPACT.pdf

Checklists:Predictive Analytics Checklist Report on MODEL.pdf

Checklists:Predictive Analytics Checklist Report on RISK.pdf

Checklists:Predictive Analytics Checklist Report on ORGANIZATION.pdf

Checklists:Predictive Analytics Checklist Report on DATA.pdf

Checklists:Predictive Analytics Checklist Report on CUSTOMER.pdf

Checklists:Predictive Analytics Checklist Report on BUSINESS.pdf

Checklists:Predictive Analytics Checklist Report on ANALYTICS.pdf

Checklists:Predictive Analytics Checklist Report on PREDICTIVE.pdf



STEP 1 Get your bearings:


STEP 1 Get your bearings:Predictive_Analytics_Quick_Exploratory_Self-Assessment_Guide.pdf

STEP 1 Get your bearings:Predictive Analytics Self-Assessment Pre-Filled EXAMPLE.xlsx





STEP 2 Set concrete goals tasks dates and numbers you can track:


STEP 2 Set concrete goals tasks dates and numbers you can track:Predictive Analytics Self-Assessment.xlsx

STEP 2 Set concrete goals tasks dates and numbers you can track:Predictive_Analytics.pdf

..and the Project Management resources in 'STEP 3: Implement, Track, follow up and revise strategy' as described above.

 

 

Who This Toolkit Is For

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These skills will enrich every part of your life.

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