In-DBMS Analytics Toolkit: best-practice templates, step-by-step work plans and maturity diagnostics

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


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the In-DBMS 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 656 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which In-DBMS Analytics improvements can be made.

Examples; 10 of the 656 standard requirements:

  1. How often will data be collected for measures?

  2. Why identify and analyze stakeholders and their interests?

  3. How do we measure risk?

  4. Who will be responsible for documenting the In-DBMS Analytics requirements in detail?

  5. What is the teams contingency plan for potential problems occurring in implementation?

  6. How do the In-DBMS Analytics results compare with the performance of your competitors and other organizations with similar offerings?

  7. Operational - will it work?

  8. Can Management personnel recognize the monetary benefit of In-DBMS Analytics?

  9. What role does communication play in the success or failure of a In-DBMS Analytics project?

  10. What tools were used to generate the list of possible causes?


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 In-DBMS Analytics book in PDF containing 656 requirements, which criteria correspond to the criteria in...

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

  • 62 step-by-step In-DBMS Analytics Project Management Form Templates covering over 6000 In-DBMS Analytics project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Stakeholder Analysis Matrix: How will the stakeholder directly benefit from the In-DBMS Analytics project and how will this affect the stakeholders motivation?

  2. Activity Duration Estimates: Calculate the expected duration for an activity that has a most likely time of 5, a pessimistic time of 13, and a optimistic time of 3?

  3. Stakeholder Management Plan: Has an organization readiness assessment been conducted?

  4. Change Management Plan: How might they respond to the message and if the response may be negative or open to misinterpretation, what else needs to be said?

  5. Stakeholder Management Plan: Are Vendor contract reports, reviews and visits conducted periodically?

  6. Project Management Plan: Are the proposed In-DBMS Analytics project purposes different than a previously authorized In-DBMS Analytics project?

  7. Schedule Management Plan: Are changes in deliverable commitments agreed to by all affected groups & individuals?

  8. Activity Duration Estimates: Are In-DBMS Analytics project activities decomposed into manageable components to ensure expected management control?

  9. Project Portfolio management: What are the four types of portfolios a PMO must focus on?

  10. Source Selection Criteria: How can the methods of publicizing the buy be tailored to yield more effective price competition?

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

1.0 Initiating Process Group:

  • 1.1 In-DBMS Analytics project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 In-DBMS 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 In-DBMS 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 In-DBMS 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 In-DBMS 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 In-DBMS 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 In-DBMS Analytics project with this in-depth In-DBMS Analytics Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose In-DBMS 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 In-DBMS 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 In-DBMS Analytics investments work better.

This In-DBMS 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.

46 Reviews Hide Reviews Show Reviews

  • 5
    CARSTEN B. Experienced safety and quality enabler

    Posted by CARSTEN B. on 5th Sep 2018

    So far I have only had time to browse it very superficially, but form that it looks very comprehensive and at the same time practical. As soon as I find time I will do a short item on it on my literature pages and point risk management professionals in your direction. Have a great day, and all the best!!

  • 5
    ctmfile.com

    Posted by ctmfile.com on 5th Sep 2018

    This is a structured, in-depth review and how to work out how develop the controls and processes that will begin to solve the problem. Knowing what questions to ask is the starting point. The level of questions and analysis required will surprise, but this level of details is essential.

  • 5
    Your book is interesting and contains timely topics.

    Posted by Dianne L. on 4th Sep 2018

    DIANNE L Chief Learning Officer

  • 5
    MARIETTA W. Senior Consultant

    Posted by MARIETTA W. on 4th Sep 2018

    Standard Requirements is a straightforward guide. It is a tool to help develop a detailed vision of all areas impacted by an implementation, and a useful tool for scoring readiness and implementation quality.

  • 5
    I have been looking at the document, and it is quite extensive.

    Posted by PENGILLY W. on 3rd Sep 2018

    PENGILLY W. Director IT & Logistics at a leading University

  • 5
    Thank you for the excel dashboard. It is so powerful.

    Posted by TAHAR H. on 2nd Sep 2018

    TAHAR H. Researcher at Institute of Economic Analysis and Prospective Studies

  • 5
    I really like the format. Simple but quite powerful. I will make sure to share my views with Amazon. Thanks again.

    Posted by CARL M. on 2nd Sep 2018

    CARL M. Senior Solutions Architect

  • 5
    This is great!

    Posted by GREG C, on 5th Aug 2018

    GREG C. CEO Managed Service Provider

  • 5
    Awesome, thank you so much!!

    Posted by ZORAN M. on 5th Aug 2018

    ZORAN M. Knowledge Management Consultant