Supervise Analytics Value Creation: in collaboration with a team of architects, develops and maintains capability documentation, targets architecture and partners with it and thE Business to develop architectures in support of strategic initiatives, goals, and Industry Trends.



More Uses of the Analytics Value Creation Toolkit:




• Support educational Content Development relating to advanced testing, through use of your proprietary Access Educational and Awareness Framework.
  
  

• Collaborate with the Audit Analytics management to integrate Data Analytics in support of Audit And Risk management planning, execution and reporting.
  
  

• Guide Analytics Value Creation: Digital Business Performance Analytics (forecasting, trading).
  
  

• Develop and deploy KPIs, analytics and insights to help identify opportunities for improvement; analyze trends and consolidate data/information to present for review with key leaders and stakeholders, informing Decision Making across the operation.
  
  

• Methodize Analytics Value Creation: impact and oversee the development and deployment of the enterprises Data And Analytics platform for Digital Business.
  
  

• Identify Analytics Value Creation: define and own the next generation analytics stacks focused on identifying deeper Customer Insights and opportunities in acquisition, engagement and retention.
  
  

• Oversee Analytics Value Creation: own and apply a scalability lens to several key areas in plan operations plan stack, plan testing, Data Gathering workflows, plan design and analytics inquiries, and more.
  
  

• Drive Analytics Value Creation: in partnership with the Chief Data Officers, design, build, and operate a robust data ingestion, management, and analytics platform.
  
  

• Be accountable for offering an ecosystem of proprietary and third party Business Applications, Data And Analytics Solutions helps organizations manage core investment processes and beyond.
  
  

• Head Analytics Value Creation: aladdin combine sophisticated Risk Analytics with comprehensive Portfolio management, trading, and operations tools on a single platform to power informed Decision Making.
  
  

• Align with your Data Analytics Team for an overall view of the suppliers performance and create a plan to correct any deviations on supplier expectations.
  
  

• Provide ongoing business/operational metrics, developing predictive forecasting models, calculating business Financial Analytics and designing data needs for future Business Analytics.
  
  

• Collaborate with thE Business to create and managE Business intelligence and analytics solutions that turn data into knowledge.
  
  

• Coordinate Analytics Value Creation: architecture, design and build Enterprise Analytics platform incrementally.
  
  

• Develop detailed trend and Performance Analytics to prevent issues from occurring/recurring.
  
  

• Manage and coordinate teams to deploy Data Analytics projects using innovative solutions and to provide analytics driven insights.
  
  

• PursuE Business outcomes valued through increased revenue and/or efficiency leveraging Data Driven insights powered by analytics in support of enhanced Decision Making.
  
  

• Ensure you magnify; lead and/or support Project Teams, share insights, and use analytics to find new ways of working that put people and process first.
  
  

• Supervise Analytics Value Creation: review and update existing Web Analytics implementations of all sites in order to keep consistency across all markets.
  
  

• Devise Analytics Value Creation: leverage statistical, econometric, stochastic, Operations Research, Predictive Modeling, simulation, optimization (linear, mixed integer, constraint programming), and/or Machine Learning analytics techniques.
  
  

• Be accountable for using Predictive Analytics to anticipate and prepare for business outcomes and to optimizE Business and Supply Chain Operations.
  
  

• Orchestrate Analytics Value Creation: software quality engineers in Data And Analytics solutions group can expect to code eighty percent of time.
  
  

• Be accountable for designing and implementing an analytics platform for your users to measure the performance of maintenance operations.
  
  

• Develop models and analytics to inform executive level Customer Strategy.
  
  

• Work with marketing technology, analytics and Engineering teams to spot gaps in the current process, resolve the issues quickly, document and make improvements in efficiency, deliverability and Cycle Time.
  
  

• Guide Analytics Value Creation: partner with Development Teams, Customer Success team members, and the broader analytics teams to enable Decision Support and key Customer Insights in the product and Customer Success spaces.
  
  

• Coordinate Analytics Value Creation: architecture technical direction for the development, design, and systems integration across multiple teams to drive the implementation of innovative Data Analytics solutions.
  
  

• Orchestrate Analytics Value Creation: partner with People Analytics and Learning And Development to align your rep performance strategies with one central data set.
  
  

• Support with Data Analytics process by working closely with the lead Data Analyst to prepare data files and analyze data.
  
  

• Provide regular status updates to Analytics Managers and Managers of Client Success on client projects to make them aware of progress and any issues to be addressed.
  
  

• Develop capability across the spectrum from the tactical (deployment and application of principles, concepts and methods) to the strategic (a transformation that deeply impacts a key value stream)
  
  

• Be certain that your organization complies; designs and implements action plans for policy creation and governance, System Hardening, monitoring, Incident Response, Disaster Recovery, and emerging Cybersecurity threats.
  
  

• Collaborate with internal teams to provide tailored support solutions for large enterprise customers.
  
  




 



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



STEP 1: Get your bearings



Start with...




• The latest quick edition of the Analytics Value Creation 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 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which Analytics Value Creation improvements can be made.



Examples; 10 of the 999 standard requirements:




1. Who should receive measurement reports?
   
   

2. What are the requirements for audit information?
   
   

3. Do you have the optimal Project Management team structure?
   
   

4. How do you spread information?
   
   

5. How will you know that you have improved?
   
   

6. What should be considered when identifying available resources, constraints, and deadlines?
   
   

7. Explorations of the frontiers of Analytics Value Creation will help you build influence, improve Analytics Value Creation, optimize Decision Making, and sustain change, what is your approach?
   
   

8. Are missed Analytics Value Creation opportunities costing your organization money?
   
   

9. What information do you gather?
   
   

10. Is Analytics Value Creation realistic, or are you setting yourself up for failure?
    
    




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 Analytics Value Creation book in PDF containing 994 requirements, which criteria correspond to the criteria in...




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




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




Examples; 10 of the check box criteria:




1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
   
   

3. Project Scope Statement: Will all Analytics Value Creation project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the Analytics Value Creation Project Team have enough people to execute the Analytics Value Creation project plan?
   
   

5. Source Selection Criteria: What are the guidelines regarding award without considerations?
   
   

6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Analytics Value Creation project plan (variances)?
   
   

7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
   
   

8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
   
   

9. Procurement Audit: Was a formal review of tenders received undertaken?
   
   

10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?




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



1.0 Initiating Process Group:




• 1.1 Analytics Value Creation project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix




2.0 Planning Process Group:




• 2.1 Analytics Value Creation Project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 Analytics Value Creation 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 Analytics Value Creation 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 Analytics Value Creation 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 Analytics Value Creation 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 Analytics Value Creation project with this in-depth Analytics Value Creation Toolkit.



In using the Toolkit you will be better able to:




• Diagnose Analytics Value Creation 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 Analytics Value Creation 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 Analytics Value Creation investments work better.



This Analytics Value Creation 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.