Control Data Exploration: partner with engineering, sales, and marketing teams to successfully deliver market leading products that free developers and Data Scientists to deliver intelligent applications.
More Uses of the Data Exploration Toolkit:
- Establish that your organization develops, implements, maintains, and executes extract/transform/load scripts and applications in support of the Data Warehouse.
- Head Data Exploration: mastery of Data Types, algorithms, Object Oriented Programming.
- Lead Data Exploration: proactively initiate and implement Continuous Improvement projects to Reduce Costs, decrease test time, decrease lab and Development Cycle times, and improve data accuracy.
- Confirm your planning complies; partners with Data Scientists and engineers to ensure systems are utilized in alignment with your enterprise wide organization planning architecture.
- Ensure you classify; lead replication, redundancy and Disaster Recovery systems for an active/active Data Center that is currently being built using Software Defined Firewalls, networking and Data Center.
- Create, communicate, and maintain an inspiring and clear strategy, roadmap, and architecture for your MachinE Learning and data platform technology.
- Make sure that your organization demonstrates skill in Data Analysis techniques by resolving missing/incomplete information, inconsistencies/anomalies in more complex research/data.
- Identify Data Exploration: work closely with clients from your organization to turn data into critical information and knowledge that can be used to solve key use cases.
- Standardize Data Exploration: service excellence team; Data Transformation and Business Intelligence team.
- Ensure you understand what problems are solved by database transactions or managed object contexts.
- Control Data Exploration: of information, advanced Data Analytics, and Text Mining models and physical data persistence.
- Oversee Data Exploration: architecture, plan, and build robust, scalable systems, services, and data architectures to support web, apps, video streaming (live and on demand) products.
- Collaborate with the Enterprise Architecture, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
- Create tools and integrations to transform and centralize data from your sales/growth/marketing tools.
- Develop Mathematical Models to apply to data sets.
- Methodize Data Exploration: design evaluation procedures/protocols and develop Data Collection instruments, manage and supervise the construction and maintenance of databases and web based data profiles.
- Confirm your group ensures Data integrity and compliance by performing Data Cleansing, data audit and/or Data Validation.
- Establish that your organization supports other business executives and departmental leaders in making strategic, Data Driven decisions, in regard to new products, additional use cases, customer segments, investments, among other subjects.
- Derive insights out of complex data and algorithms, and contribute to improvement of overall marketing performance in the end.
- Standardize Data Exploration: leverage Continuous Delivery tools to securely deploy Micro Services to various environments and ensure SLAs for uptime, latency and throughput across multiple Data Centers.
- Ensure you analyze available data sources, Security Tools, and threat trends and lead Security Monitoring and analysis techniques to identify attacks against the enterprise.
- Create and maintain a Data Driven approach to Labor planning and workforce Management System that optimizes Resource Utilization.
- Confirm your group oversees initiatives to support your organizations GRC tool as platform upgrades, Data Integration with other systems, and Solution Design review.
- Secure that your corporation coordinates, schedules and facilitates System Changes of the enterprise Data Warehouse with Business Analysts, Database Administrators, Application Administrators team, Access Administration team and IT service Helpdesk.
- Utilize a variety of forensic software to identify, collect, preserve, extract and analyze electronic data from laptops, desktops, mobile devices, servers, cloud environments, backup tapes, and other storage mediums.
- Confirm your business complies; activities could fall in the areas of Data Governance, Business Intelligence, reporting, Data Warehouse, Big Data, Data Visualization and/or analytics.
- Audit Data Exploration: work closely with the modeling and Data Science teams to determine where gaps and opportunities lie.
- Make high impact, long term decisions around procurement and deployment of modern cloud data platform solutions (Data Lake, Data Warehousing, Data Governance, Data As A Service, Data Security).
- Ensure you standardize; lead a small team of Business Intelligence analysts, Data Scientists, Data Engineers, and Database Administrators on projects from conception to completion.
- Facilitate assessment and authorization (a and a) for Information Systems, data availability, integrity, authentication, confidentiality, and non repudiation.
- Assure your organization complies; as your organization/Management consultant at a top consulting organization with government and/or commercial clients.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Exploration Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Exploration 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 Exploration specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Data Exploration 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 Exploration improvements can be made.
Examples; 10 of the 999 standard requirements:
- How can you best use all of your knowledge repositories to enhancE Learning and sharing?
- How do you engage the workforce, in addition to satisfying them?
- How sensitive must the Data Exploration strategy be to cost?
- How do you hand over Data Exploration context?
- Who is responsible for Data Exploration?
- What is the craziest thing you can do?
- What sources do you use to gather information for a Data Exploration study?
- Why do the measurements/indicators matter?
- Who uses your product in ways you never expected?
- What controls do you have in place to protect data?
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 Exploration book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data Exploration 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 Exploration Self-Assessment and Scorecard you will develop a clear picture of which Data Exploration 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 Exploration 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 Exploration projects with the 62 implementation resources:
- 62 step-by-step Data Exploration Project Management Form Templates covering over 1500 Data Exploration 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 Data Exploration project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Exploration Project Team have enough people to execute the Data Exploration 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 Data Exploration 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 Data Exploration Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Data Exploration project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Data Exploration 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 Exploration 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 Exploration 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 Exploration 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 Exploration 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 Exploration project with this in-depth Data Exploration Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Data Exploration 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 Exploration 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 Exploration investments work better.
This Data Exploration 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.