Analytics Adoption Toolkit

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Establish Analytics Adoption: Information Systems Audit and control associations (isaca) COBIT standard.

More Uses of the Analytics Adoption Toolkit:

  • Manage work with business users to drive Advanced Analytics Adoption to ensure that insights gleaned from Advanced Analytics are embedded in key Decision Making processes.

  • Develop and manage dashboard and analytics to monitor team performance indicators for Endurance and future program engineering deliverables.

  • Govern Analytics Adoption: partner with Key Stakeholders to identify initiatives and execute solutions to people related business problems using Data Analysis, Advanced Analytics and Data Engineering Best Practices.

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

  • Develop and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics to develop solutions.

  • Be accountable for reporting, auditing, Data integrity initiatives, and analytics to support internal and cross functional projects.

  • Be accountable for designing beautifully organized analytics dashboards for upper management.

  • Drive Agile Development, migration of processes and data from Business Analysts and Analytics Teams to Technology Supported Platforms.

  • Coordinate and prepare materials for the Data And Analytics Oversight and Data Governance meetings and provide support by documenting minutes and action items, responding to assigned tasks when due and supporting Data Management effort.

  • Execute new and existing programs for data extract, file conversion, variable edit/creation, and reporting for the support of overall analytics projects.

  • Integrate websites with Web Analytics tools and analyze/report on analytics data.

  • Collaborate closely with the engineering and DevOps team to implement DataOps, thus reducing your analytics Development Cycle.

  • Be accountable for auditing app analytics and Tag Management implementations and recommending improvements.

  • Identify Analytics Adoption: predictive and Prescriptive Analytics entry level opportunities.

  • Control Analytics Adoption: you are prepared to collaborate with internal stakeholders and channel partners to drive the data acquisition and analytics development of Digital Analytics.

  • Lead Analytics Adoption: design and develop scalable etl solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).

  • Ensure you mobilize; understand and expand the current manufacturing data eco system, by mapping existing data and data gaps, in order to enable identification of sources of value with analytics revenue growth or performance improvements.

  • Ensure you build an analytics dashboard used by customer leadership teams in staying informed on the progress of teams.

  • Make sure that your organization complies; this team owns the Data Engineering, Business Intelligence, Advanced Analytics, and analytics solution engineering for the entire Infrastructure Data Center organization.

  • Formulate Analytics Adoption: work in close relationship with Data Science teams and Business Analysts in refining data requirements for various Data And Analytics initiatives and data consumption requirements.

  • Provide Thought Leadership, especially when it comes to industry relevant Advanced Analytics use cases that are predictive and prescriptive in nature.

  • CreatE Business analytics and reports to provide high value analysis on Customer Service and operational Performance Metrics.

  • Manage work with the larger Marketing Operations and Analytics teams to ensure that accurate data is being captured to support marketing strategy and results analysis.

  • Collaborate with business areas and data owners to successfully implement and maintain an enterprise level Business Analytics and Data Warehousing solution.

  • Identify Data Analytics opportunities for thE Business for thE Business and ensure data/information compliance with business policy, legal, and compliance.

  • Audit Analytics Adoption: review the Design And Delivery of Business Process analytics applications and Data Integration points to ensure smooth transfer of information.

  • Manage work with the Data Technology Teams (PMO, Business Analyst, Data Architecture, Information Governance, Operational Data, Data Acquisition, Analytics and Infrastructure) to support and innovate on the Enterprise Data Warehouse platform.

  • Enable Data Driven Decision Making, automate and scale insight generation, and achieve Business Growth.

  • Become skilled at developing Business Intelligence and Analytics solutions.

  • Manage all aspects of product Master Data and Web Analytics related to E Commerce and communicate relevant information to team members, executive leadership and cross functional partners.

  • Establish that your organization identifies and applies Best Practices and needed Process Improvements; drive adoption and challenges standards.

 

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Analytics Adoption 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 Adoption improvements can be made.

Examples; 10 of the 999 standard requirements:

  1. Have you identified breakpoints and/or Risk Tolerances that will trigger broad consideration of a potential need for intervention or modification of strategy?

  2. What is the cost of rework?

  3. Scope of sensitive information?

  4. Do you see more potential in people than they do in themselves?

  5. What are the top 3 things at the forefront of your Analytics Adoption agendas for the next 3 years?

  6. What to do with the results or outcomes of measurements?

  7. Can you integrate Quality Management and Risk Management?

  8. What can be used to verify compliance?

  9. Who needs budgets?

  10. Is the Quality Assurance team identified?


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 Adoption book in PDF containing 994 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step Analytics Adoption Project Management Form Templates covering over 1500 Analytics Adoption 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 Adoption project issues be unconditionally tracked through the Issue Resolution process?

  4. Closing Process Group: Did the Analytics Adoption Project Team have enough people to execute the Analytics Adoption 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 Adoption 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 Adoption Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


2.0 Planning Process Group:

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

In using the Toolkit you will be better able to:

  • Diagnose Analytics Adoption 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 Adoption 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 Adoption investments work better.

This Analytics Adoption 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.