Save time, empower your teams and effectively upgrade your processes with access to this practical Data Analytics Applications Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data Analytics Applications 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 Analytics Applications specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data Analytics Applications 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 Data Analytics Applications improvements can be made.
Examples; 10 of the 999 standard requirements:
- Do you have access to cloud based technology infrastructure, applications, analytics, data security and integration capabilities to support the development and maintenance of a marketplace?
- Will the analytics platform be built with application program interfaces capable of accepting data from multiple sources and of accommodating rapid access from various applications?
- Can your organization provide an inventory of existing database applications in place, and estimates of current database sizes for all data expected for data analysis?
- Does data integration and aggregation include data from edge analytics performed at the edge on a server, gateway or router, in a module, or in an embedded processor?
- How important to your organization are steps for integrating analytics with business applications, processes, and workflow to improve operational performance?
- Do you have the staff to support your application interface, IoT hardware, software, data analytics, data comms/aggregation and cybersecurity needs?
- Are service providers ready to exploit the power of open networking for the most demanding consumer and business subscriber applications?
- Are you capable of developing and supporting commercially ready application software to support your big data / analytics offerings?
- Do you know how to use all the power of the machines, the way databases should be organized, the technologies around analytics?
- What are the main challenges in advancing the collection, use, implementation, or application of data in your association?
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 Analytics Applications book in PDF containing 999 requirements, which criteria correspond to the criteria in...
Your Data Analytics Applications 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 Analytics Applications Self-Assessment and Scorecard you will develop a clear picture of which Data Analytics Applications 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 Analytics Applications 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 Analytics Applications projects with the 62 implementation resources:
- 62 step-by-step Data Analytics Applications Project Management Form Templates covering over 1500 Data Analytics Applications project requirements and success criteria:
Examples; 10 of the check box criteria:
- Lessons Learned: Who managed most of the communication within the Data Analytics Applications project?
- Stakeholder Analysis Matrix: Is changing technology threatening your organizations position?
- Roles and Responsibilities: What is working well within your organizations performance management system?
- Scope Management Plan: Assess the expected stability of the scope of this Data Analytics Applications project how likely is it to change, how frequently, and by how much?
- Risk Management Plan: Market risk: will the new product be useful to your organization or marketable to others?
- Human Resource Management Plan: What areas does the group agree are the biggest success on the Data Analytics Applications project?
- Requirements Management Plan: Do you know which stakeholders will participate in the requirements effort?
- Risk Audit: Where will the next scandal or adverse media involving your organization come from?
- Procurement Management Plan: Are updated Data Analytics Applications project time & resource estimates reasonable based on the current Data Analytics Applications project stage?
- Source Selection Criteria: Does your documentation identify why the team concurs or differs with reported performance from past performance report (CPARs, questionnaire responses, etc.)?
Step-by-step and complete Data Analytics Applications Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Analytics Applications project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Analytics Applications 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 Analytics Applications 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 Analytics Applications 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 Analytics Applications 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 Analytics Applications 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 Analytics Applications project with this in-depth Data Analytics Applications Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Analytics Applications 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 Analytics Applications 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 Analytics Applications investments work better.
This Data Analytics Applications 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.
