Confirm your organization leads and grows a practice that supports Enterprise Data and analytic initiatives at healthcare payers and providers through Data Strategy, Data Architecture, Data Integration, Data Modeling, BI and analytic Technology Enablement.
More Uses of the Data Marts Toolkit:
- Establish that your operation engages client architects, business SMEs, and other stakeholders throughout solution/Data Architecture and implementation lifecycle and recommend effective solutions aligned with clients goals and objectives.
- Be accountable for creating and developing solution designs for Data Acquisition/ingestion of varied data sets (internal/external), integration and Data Warehouse/Data Marts.
- Control: Data Modeling evaluate structured and Unstructured Data, determine the most appropriate schema for new fact tables, Data Marts, etc.
- Ensure you formulate; build the enterprise conceptual and logical Data Models for analytics, operational and Data Mart structures in accordance to industry Best Practices models.
- Lead: plan and configure appropriate Data Processing workflows and schedules (real time, near real, batch) to avoid bottlenecks and contention issues.
- Create analytical strategies to solve business problems involving understanding the business problem, identifying relevant data, gathering and summarizing data meaningfully.
- Ensure you create; understand and articulate interdependencies, constraints of various existing/developing solutions to Data Engineers, Project Teams, Business Teams and stakeholders.
- Confirm your business provides technical consulting to users of the various Data Warehouses and advises users on conflicts and inappropriate Data Usage.
- Audit: Data Integration incorporate new business and system data into the chop Data Warehouse while maintaining enterprise Best Practices and adhering to Data Governance Standards.
- Develop Analytics Tools that utilize Data Resources to provide actionable insights, Operational Efficiency and other key business Performance Metrics.
- Confirm your venture follows Governance Standards as part of implementing Data Management projects and ensure that access to the data is authorized and controlled.
- Gather requirements and Business Process knowledge in order to transform the data in a way that is geared towards the needs of End Users.
- Develop and maintain documentation of current data sources, raw data, Data Marts, transformations, and report specifications.
- Identify: partner with product owners, Data Engineers and Business Systems analysts to identify data mappings and generate Enterprise Analytics Data Models.
- Be a critical part of an Agile Scrum Software Development team, ensuring the team successfully meets its deliverables each sprint.
- Achieve assigned Sales Quota in the designated geographic region by identifying, qualifying and selling Clarity payments products to small and medium businesses.
- Manage work with the Enterprise Data Management Team to assure attributes are properly managed and governed via the Enterprise Data Governance process.
- Be certain that your project performs data and reporting Requirements Gathering and analysis to provide high quality and detailed requirements, ensuring the closest involvement with, and agreement from, the User Community.
- Secure that your venture develops Data Structures for Data Warehouses and Data Mart projects and initiatives; and supports Data Analytics and Business Intelligence systems.
- Assure your organization complies;
- Be accountable for designing, reporting and delivering analytical solutionsData Management and warehousingand the strategic use of information.
- Utilize Data Networks, file systems, a Data Warehouse, Data Marts, an operational Data Store, Data Mining, Data Analysis, Data Visualization, Data Federation, and Data Virtualization.
- Ensure you motivate; lead Enterprise Information Delivery Software Engineers, Enterprise Data Integration Software Engineers and Enterprise Business/Data Analysts on Data Requirements and Quality Assurance.
- Evaluate: finally, you know that sharing often is key to this work and are ready to document everything that you do so that data people in organizations everywhere can benefit.
- Provide Team Lead with accurate effort estimates based on User Stories, written Business Requirements and/or Technical Design documentation.
- Direct: consistently provide input on how to improve internal efficiencies and data quality; grow knowledge and be aware of Best Practices and Market Trends.
- Make sure that your design leads in the design and support of Technology Asset lifecycle Management Processes and enterprise System Software matched to Business Needs.
- Manage work with the business, applications owners, solutions architects, and with technical architects to understand the implications of respective Data Architectures to maximize the Value Of Information across your organization.
- Coordinate efforts with other Service Teams to ensure quality Data Requirements, Data Structures, and Data Services are addressed as part of your solution Development Lifecycle.
- Lead the full Development Life Cycle, End To End, from design, implementation, and testing, to documentation, delivery, support, and maintenance.
Save time, empower your teams and effectively upgrade your processes with access to this practical Data Marts Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Data Marts 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 Marts specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Data Marts 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
Examples; 10 of the 999 standard requirements:
- Who do you report Data Marts results to?
- What are (control) requirements for Data Marts Information?
- How do you mitigate Data Marts risk?
- Which Data Marts impacts are significant?
- What are the minority interests and what amount of minority interests can be recognized?
- How will you know that the Data Marts project has been successful?
- How do you select, collect, align, and integrate Data Marts data and information for tracking daily operations and overall Organizational Performance, including progress relative to Strategic Objectives and action plans?
- How is implementation research currently incorporated into each of your goals?
- Are you aware of what could cause a problem?
- How do you take a forward-looking perspective in identifying Data Marts research related to market response and models?
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 Marts book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Data Marts 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 Marts Self-Assessment and Scorecard you will develop a clear picture of which Data Marts 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 Marts 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 Marts projects with the 62 implementation resources:
- 62 step-by-step Data Marts Project Management Form Templates covering over 1500 Data Marts 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 Marts project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Data Marts Project Team have enough people to execute the Data Marts 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 Marts 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?
1.0 Initiating Process Group:
2.0 Planning Process Group:
- 2.1 Data Marts 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 Marts 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 Marts 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 Marts 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 Marts project or Phase Close-Out
- 5.4 Lessons Learned
In using the Toolkit you will be better able to:
- Diagnose Data Marts 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 Marts 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 Marts investments work better.
This Data Marts 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.