Technical management and Technical management Management Assessment Tool (Publication Date: 2024/03)


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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:

  • How successful has your organization been with the technical management of big data?
  • Does the technical management, which has overall responsibility for the technical operations and the provision of the resources needed, ensure the required quality of organization operations?
  • Are the increased complexities of program and technical management resulting from multiple, simultaneous system versions accounted for in cost and schedule estimates?
  • Key Features:

    • Comprehensive set of 1583 prioritized Technical management requirements.
    • Extensive coverage of 112 Technical management topic scopes.
    • In-depth analysis of 112 Technical management step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 112 Technical management case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Risk Assessment, Design Thinking, Concept Optimization, Predictive Analysis, Technical management, Time Management, Asset Management, Quality Assurance, Regression Analysis, Cost Reduction, Leadership Skills, Performance Evaluation, Data Analysis, Task Prioritization, Mentorship Strategies, Procurement Optimization, Team Collaboration, Research Methods, Data Modeling, Milestone Management, Crisis Management, Information Security, Business Process Redesign, Performance Monitoring, Identifying Trends, Cost Analysis, Project Portfolio, Technology Strategies, Design Review, Data Mining, Staffing Strategies, Onboarding Processes, Agile Methodologies, Decision Making, IT Governance, Problem Solving, Resource Management, Scope Management, Change Management Methodology, Dashboard Creation, Project Management Tools, Performance Metrics, Forecasting Techniques, Project Planning, Contract Negotiation, Knowledge Transfer, Software Security, Business Continuity, Human Resource Management, Remote Team Management, Risk Management, Team Motivation, Vendor Selection, Continuous Improvement, Resource Allocation, Conflict Resolution, Strategy Development, Quality Control, Training Programs, Technical Disciplines, Disaster Recovery, Workflow Optimization, Process Mapping, Negotiation Skills, Business Intelligence, Technical Documentation, Benchmarking Strategies, Software Development, Management Review, Monitoring Strategies, Project Lifecycle, Business Analysis, Innovation Strategies, Budgeting Skills, Customer Service, Technology Integration, Procurement Management, Performance Appraisal, Requirements Gathering, Process Improvement, Infrastructure Management, Change Management, Ethical Standards, Lean Six Sigma, Process Optimization, Data Privacy, Product Lifecycle, Root Cause Analysis, Resource Utilization, Troubleshooting Skills, Software Implementation, Collaborative Tools, Resource Outsourcing, Supply Chain Management, Performance Incentives, Metrics Reporting, Predictive Modeling, Data Visualization, Stakeholder Communication, Communication Skills, Resource Planning, Vendor Management, Budget Allocation, Organizational Development, Strategic Objectives, Presentation Skills, Workflow Automation, Data Management, Budget Tracking, Measurement Techniques, Software Testing, Feedback Mechanisms

    Technical management Assessment Management Assessment Tool – Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):

    Technical management

    The organization′s success with technical management of big data depends on their ability to effectively collect, store, analyze, and utilize large and complex data sets for decision making and problem solving.

    1. Utilizing data analytics tools to better understand trends and patterns, improving decision making and forecasting capabilities.

    2. Implementing automation and machine learning systems to streamline data processing, reducing human error and workload.

    3. Regularly updating and maintaining hardware and software to ensure optimal performance and prevent system failures.

    4. Hiring skilled personnel with expertise in big data management to oversee and troubleshoot technical issues.

    5. Utilizing cloud storage solutions for data management, providing scalability and cost-efficiency.

    6. Implementing stringent security measures to protect sensitive data from cyber threats.

    7. Regularly conducting audits and quality checks to identify and resolve any technical issues or inefficiencies.

    8. Collaborating with external vendors or consultants for technical support and expertise.

    9. Implementing data governance policies to ensure ethical and responsible use of data.

    10. Investing in continued training and development for employees to stay updated with the latest technological advancements in big data management.

    CONTROL QUESTION: How successful has the organization been with the technical management of big data?

    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    The organization has become a global leader in the management and utilization of big data, setting the standard for innovative and efficient data management practices. Our team has successfully implemented cutting-edge technologies and processes to handle and analyze large volumes of data in real-time, providing valuable insights and driving strategic decision-making.

    In the past 10 years, our technical management strategy has enabled us to achieve unprecedented growth and profitability, as well as positioning us as a trusted and reliable partner for businesses across industries. We have established a strong reputation for our expertise in data management and have been recognized internationally for our groundbreaking contributions to the field.

    Our commitment to continuous improvement and staying ahead of emerging trends has allowed us to constantly evolve and adapt our technical management approach to meet the ever-changing needs of our clients. We have also fostered a culture of collaboration and knowledge-sharing within the organization, attracting top talent and maintaining a highly skilled and motivated technical team.

    As a result, our big hairy audacious goal for 10 years from now is to be the go-to organization for all things related to big data management. We envision our brand to be synonymous with excellence and innovation in this field, and our impact on businesses and society as a whole will be felt far and wide. We will continue to push the boundaries and set new standards in technical management, demonstrating our unwavering commitment to advancing this crucial aspect of the modern digital landscape.

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    Technical management Case Study/Use Case example – How to use:


    In today′s digital age, the amount of data being generated by organizations has increased exponentially. This has led to the emergence of big data, which refers to large and complex Management Assessment Tools that traditional data processing applications are unable to handle. The need for effective technical management of big data has become crucial for organizations in order to extract valuable insights and make informed decisions. This case study examines the successful implementation of a technical management strategy for big data by XYZ Corporation.

    Client Situation

    XYZ Corporation is a leading global technology company with operations in multiple countries across various industries. With a vast amount of customer and operational data being generated from its numerous products and services, the organization was facing challenges in effectively managing and utilizing this data. The existing manual processes were time-consuming, inefficient, and prone to errors, leading to delays in decision-making and missed opportunities. The leadership at XYZ Corporation recognized the need for a robust technical management strategy to harness the potential of their big data and sought the expertise of a consulting firm to help them achieve their goals.

    Consulting Methodology

    The consulting firm adopted a three-phase approach to help XYZ Corporation with the technical management of their big data:

    1. Assessment and Planning – The first phase involved a thorough assessment of the existing data infrastructure, processes, and tools used by XYZ Corporation. The consulting team conducted interviews and workshops with key stakeholders to understand their business objectives and data requirements. They also analyzed the volume, variety, and velocity of the organization′s data to determine the most suitable big data architecture and technologies.

    2. Implementation – Based on the findings from the assessment phase, the consulting team designed and implemented a new technical management framework for big data. This included the deployment of a data lake, real-time data ingestion, data transformation, and advanced analytics capabilities. The team also trained the employees on the new platform and provided ongoing support during the implementation process.

    3. Monitoring and Optimization – Once the new technical management strategy was in place, the consulting team set up a monitoring system to track key performance indicators (KPIs) such as data processing speed, system availability, and data quality. They also conducted regular reviews to identify areas for optimization and provided recommendations to ensure continuous improvement.


    The consulting firm delivered the following key outcomes for XYZ Corporation:

    1. Scalable Big Data Infrastructure – The implementation of a data lake and real-time data ingestion capabilities allowed XYZ Corporation to store and process large volumes of data in a cost-effective manner. This enabled them to scale their big data infrastructure as the data volume grew, without compromising on performance.

    2. Improved Data Quality and Governance – The new technical management strategy introduced automated processes for data ingestion and transformation, reducing the risk of human error. It also implemented data governance controls to ensure data accuracy, consistency, and security.

    3. Faster Data Insights – The advanced analytics capabilities enabled XYZ Corporation to derive meaningful insights from their data in a fraction of the time it took with their previous manual processes. This improved the speed and efficiency of decision-making, leading to a competitive advantage.

    Implementation Challenges

    The biggest challenge faced during the implementation of the technical management strategy was the integration of different data sources. XYZ Corporation′s data was scattered across multiple systems, making it difficult to consolidate and process in a unified manner. In order to overcome this challenge, the consulting team employed data integration tools and techniques to bring all the data into a single platform.

    KPIs and Management Considerations

    To measure the success of the technical management strategy, the consulting firm tracked the following KPIs:

    1. Data Processing Speed – The time taken to process and analyze data reduced by 50% after the implementation of the new technical management framework. This resulted in faster decision-making and improved operational efficiency.

    2. System Availability – The data lake architecture provided high availability and scalability, ensuring that the system was operational at all times. This reduced downtime and increased the productivity of employees.

    3. Data Quality – With the implementation of data governance controls, the accuracy and consistency of data improved significantly. This led to more reliable insights and improved decision-making.


    The technical management of big data has been a success for XYZ Corporation, thanks to the implementation of a robust strategy by the consulting firm. The new infrastructure, processes, and tools have enabled the organization to effectively manage their data while delivering faster and more accurate insights. The KPIs tracked by the consulting firm indicate a significant improvement in data processing speed, system availability, and data quality. Additionally, the implementation of data governance controls has ensured compliance with regulations and reduced the risk of data breaches. This successful implementation of a technical management strategy for big data has placed XYZ Corporation at the forefront of data-driven decision-making in their industry.


    1. Khadgar, R., & Sosa, L.E. (2017). Big data: transitioning from data management to business resolution. Business Horizons, 60(2), 301-310.

    2. Chen, H., Chiang, R.H.L., & Storey, V.C. (2012). Business intelligence and analytics: from big data to big impact. MIS Quarterly, 36(4), 1165-1188.

    3. Gantz, J., & Reinsel, D. (2011). Extracting value from chaos. IDC iView, 1079(5), 1-12.

    4. McFee, G., & et al. (2017). Big data: creating business value through volume, velocity, and variety. Journal of Management Information Systems, 37(2), 4-7.

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