Develop Big Data Capabilities: achievement of agreed on Service Levels and Performance Metrics.
More Uses of the Big Data Capabilities Toolkit:
- Initiate Big Data Capabilities: Risk Assessments, cloud workgroup meetings, Contract Negotiation, develop standards and policy related to cloud, machinE Learning, AI and Big Data.
- Govern Big Data Capabilities: conduct research on emerging Data Integration products, languages, and standards in support of procurement, development, security, and integration efforts in relation to the cloud, BI, and Big Data management.
- Ensure you deliver; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Investigate and prove concepts as Big Data technologies evolves.
- Ensure you arrange; lead a multifunctional team supporting highly multi functional strategic projects through the delivery of Advanced Analytics.
- Evaluate Big Data Capabilities: research machinE Learning algorithms and implement by tailoring to Business Needs and test on large datasets.
- Manage the politics and personalities of working with clients at big companies.
- Organize Big Data Capabilities: design modern architectures involving traditional BI, cloud, and Big Data technologies.
- Oversee Big Data Capabilities: from virtualized Telecommunications Networks, Big Data and Internet Of Things to mobile Financial Services, billing and Operational Support Systems, you are continually evolving your business to help you become more connected.
- Orchestrate Big Data Capabilities: Design And Delivery big Data Architectures for experimental and production consumption between scientists and Software Engineering.
- Be accountable for delivering Big Data solutions.
- Be certain that your strategy provides leadership to the IT Data Management Department in the areas of Data Warehousing, Big Data, Business Intelligence, Data Architecture, and other associated data related initiatives.
- Arrange that your operation possess a big picture perspective of Customer Service, and its impact on revenue, retention and your clients success.
- Ensure you consult; understand how to apply technologies to solve Big Data problems and to develop innovative Big Data solutions.
- Ensure you audit; lead with knowledge in Big Data technologies.
- Capture metrics and reports at the right granularity for reports and analysis to provide a big picture assessment of your organization of the analytics and data team.
- Be able to tune Big Data solutions to improve performance.
- Develop Data Engineering and Big Data solutions in a multi tiered data environment.
- Establish Big Data Capabilities: AI or Artificial intelligence, Big Data, analytics, cloud and Data Center, collaboration, video, internet of everything, networking, security, service provider, Software Development, testing, wireless, mobility.
- Organize Big Data Capabilities: Risk Assessments, cloud workgroup meetings, Contract Negotiation, develop standards and policy related to cloud, machinE Learning, AI and Big Data.
- Confirm your project complies; this organization contains a diverse set of teams consisting of OS Software Engineering, backend Big Data Engineering, Service Reliability Engineering, Full Stack Web Engineering, Data Scientists, and Support Engineering.
- Drive innovation by using innovative new technologies and approaches to renovate, extend, and transform the existing core technology base around cloud, mobile, systematized machinE Learning, microservices, Big Data, and API enabled platforms and products.
- Guide Big Data Capabilities: articulate the advantages or disadvantages of various Big Data technologies across a variety of client use cases.
- Ensure you instruct; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Ensure you commit; build analytical solutions and models by manipulating large data sets and integrating diverse data sources.
- Analyze the results of all campaigns while finding opportunities to improve and optimize the performance going forward and share big picturE Learnings with the marketing team.
- Be accountable for implementing complex Big Data projects with a focus on collecting, parsing, managing, analysing and visualizing large sets of data to turn information into insights using multiple platforms.
- Secure that your project complies; awareness of new and emerging Big Data technologies and trends.
- Lead the design, development and deployment of software systems for Big Data analytics.
- Facilitate collaboration with technical counterparts to ensure seamless integration of technical and functional teams to deliver Big Data for your organization.
- Develop, document and periodically update the program for condition assessment Data Collection and organization.
- Contribute to enterprise wide platform and solution architectures to ensure that Mdm and operational data needs and capabilities are met.
- Warrant that your design complies; address resource gaps.
Save time, empower your teams and effectively upgrade your processes with access to this practical Big Data Capabilities Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Big Data Capabilities 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 Big Data Capabilities specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Big Data Capabilities 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 Big Data Capabilities improvements can be made.
Examples; 10 of the 999 standard requirements:
- Why will customers want to buy your organizations products/services?
- What are the Big Data Capabilities business drivers?
- Are you able to realize any cost savings?
- How do you track customer value, profitability or financial return, organizational success, and sustainability?
- Do Big Data Capabilities rules make a reasonable demand on a users capabilities?
- How do you improve productivity?
- Identify an operational issue in your organization, for example, could a particular task be done more quickly or more efficiently by Big Data Capabilities?
- Does the Big Data Capabilities task fit the client's priorities?
- How do you measure success?
- Why is it important to have senior management support for a Big Data Capabilities project?
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 Big Data Capabilities book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Big Data Capabilities 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 Big Data Capabilities Self-Assessment and Scorecard you will develop a clear picture of which Big Data Capabilities 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 Big Data Capabilities 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 Big Data Capabilities projects with the 62 implementation resources:
- 62 step-by-step Big Data Capabilities Project Management Form Templates covering over 1500 Big Data Capabilities project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
- Project Scope Statement: Will all Big Data Capabilities project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Big Data Capabilities Project Team have enough people to execute the Big Data Capabilities Project Plan?
- Source Selection Criteria: What are the guidelines regarding award without considerations?
- Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Big Data Capabilities Project Plan (variances)?
- Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
- Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
- Procurement Audit: Was a formal review of tenders received undertaken?
- Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?
Step-by-step and complete Big Data Capabilities Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Big Data Capabilities project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Big Data Capabilities Project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Big Data Capabilities 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 Big Data Capabilities 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 Big Data Capabilities 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 Big Data Capabilities 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 Big Data Capabilities project with this in-depth Big Data Capabilities Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Big Data Capabilities 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 Big Data Capabilities 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 Big Data Capabilities investments work better.
This Big Data Capabilities 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.