Save time, empower your teams and effectively upgrade your processes with access to this practical Data and Analytics Programs Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data and Analytics Programs 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 Data and Analytics Programs specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data and Analytics Programs 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 994 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data and Analytics Programs improvements can be made.
Examples; 10 of the 994 standard requirements:
- How successfully is your organization integrating data driven insights with existing business processes and driving analytics adoption?
- How can the industry fully benefit from the rapid progress in advanced analytics resulting from improved computing capabilities?
- What time, space, financial, system, policy, organizational or other constraints should the program leader should be aware of?
- Are improvements to the programs data collection and analysis activities documented and shared across your organization?
- Does your organization have concerns about data quality that may limit your organizations ability to interpret the data?
- Are there any limitations on the data your organization is allowed to collect for program administration purposes?
- Is it appropriate to use the old program with a control group, when testing effectiveness of the new program?
- What software programs are available to assist you in annotation/ manipulation/analysis of the sequence data?
- How do you leverage your investments in risk management, internal control, and data management and analysis?
- Is the climate in your organization welcoming to members of all identities, backgrounds, and experiences?
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 Data and Analytics Programs book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data and Analytics Programs 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 Data and Analytics Programs Self-Assessment and Scorecard you will develop a clear picture of which Data and Analytics Programs 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 Data and Analytics Programs 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 Data and Analytics Programs projects with the 62 implementation resources:
- 62 step-by-step Data and Analytics Programs Project Management Form Templates covering over 1500 Data and Analytics Programs project requirements and success criteria:
Examples; 10 of the check box criteria:
- Activity Attributes: Are the required resources available or need to be acquired?
- Procurement Audit: Does your organization have an administrative timetable to assist the staff in implementing the budget calendar?
- Variance Analysis: What costs are avoidable if one or more customers are dropped?
- Activity Duration Estimates: What are the ways to create and distribute Data and Analytics Programs project performance information?
- Assumption and Constraint Log: Were the system requirements formally reviewed prior to initiating the design phase?
- Scope Management Plan: What is the estimated cost of creating and implementing?
- Project Charter: Assumptions and constraints: what assumptions were made in defining the Data and Analytics Programs project?
- Team Member Status Report: What specific interest groups do you have in place?
- Communications Management Plan: Who will use or be affected by the result of a Data and Analytics Programs project?
- Probability and Impact Assessment: What will be the environmental impact of the Data and Analytics Programs project?
Step-by-step and complete Data and Analytics Programs Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data and Analytics Programs project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data and Analytics Programs project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Data and Analytics Programs 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 Data and Analytics Programs 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 Data and Analytics Programs 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 Data and Analytics Programs 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 Data and Analytics Programs project with this in-depth Data and Analytics Programs Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data and Analytics Programs 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 Data and Analytics Programs 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 Data and Analytics Programs investments work better.
This Data and Analytics Programs 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.
