Big Data for Project and Program Managers
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The document discusses the concept of big data, emphasizing its significance in businesses for gaining insights and making informed decisions. It highlights the need for project managers to understand big data analytics and provides training through Tonex to enhance their capabilities in managing big data projects. The training aims to equip participants with knowledge of big data analytics, its challenges, and effective project management techniques for leveraging data effectively.
Big Data for Project and Program Managers
- 2. Big data is a term that describes the huge amount of data (structured and unstructured) that floods the enterprise every day. Big Data includes the quantity of data , the speed or speed at which it's created and picked up , and therefore the variety or scope of the info points being covered. It very often comes from several sources and arrives in multiple formats.
- 3. Big data is predicated on the distributed database architecture where an outsized block of knowledge is solved by dividing it into several smaller sizes. Then the answer to a drag is computed by several different computers present during a given network . The computers communicate to every other so as to seek out the answer to a drag .
- 4. Each business organization large and small needs valuable data and insights. Big data plays a very important role in understanding the target audience and customer preferences. It can even help predict customer needs. The correct data requires effective presentation and correct analysis. It can help companies achieve various goals.
- 5. From the perspective of a project manager or project manager, big data does not necessarily revolve around the amount of data that individuals and companies deal with. Data can be obtained from any source and analyzed to find the answer for the following purposes: • Reduce the time cut costs • Wise decision • Optimized product • New products development
- 6. Big data are often analyzed for insights that cause better decisions and strategic business moves. Present usage of the term big data usually refers to the use of predictive analytics, user behavior analysis or some other advanced data analysis methods to extract value from data, and data sets of specific sizes are rarely used.
- 7. Big data is especially important in business. No matter what your goals for the project are, you can find data that affects its results. With business intelligence, you can analyze past and real-time data and use them to draw your own conclusions. During analysis, you can use past data to build probabilistic modeling of specific outcomes for the project.
- 8. The Two Main Challenges Facing Big Data Are: • How to use it wisely in the real world • How planning and project management should be aligned with the development of technical data processing capabilities
- 9. Projects exist and breathe in business or non-business environments. As a result, as part of the context, large amounts of data about projects and project management are constantly being collected. Distributed databases have many advantages, such as: • Lower Price • Performance Improvement • Better Calculation
- 10. The fact is that the role of the project manager has become more and more complex, and lots of conflicting challenges got to be addressed. The project manager doesn't got to be a knowledge scientist, but being conversant in some big data tools and techniques can assist you gain more insights. In other words, if you're a project management professional wanting to manage big data projects, then you'll make an instantaneous impact without having to travel back to high school for a PhD. In data science or statistics.
- 11. Your present project management and soft skills are likely ultimate for establishing the framework for a replacement or existing Big Data project team and their projects. you only got to enhance the talents and knowledge you have already got . This is where Tonex training can help.
- 12. Tonex Offers Big Data for Project and Program Managers Training participants will find out how to profit from big data in their projects and programs
- 13. Big Data For Project And Program Managers Training provides you with the tools, concerns, and risks related to the large data analytics in project, program, and portfolio management. This course will cover all the methods, cautions, and concerns of massive data analytics in project management. Participants will understand the problems and opportunities of big data from the perspective of project management.
- 14. This course will introduce you the prevailing approaches and methods used for giant data analytics in order that , supported your need, you'll choose what serves the requirements of your organization the simplest . Tonex also will show you ways the large Data benefits are often converted into useful visions and offer helpful tool for planning and decision-making.
- 15. Why does one Need This Training? • Need project managers with big data expertise and business awareness • Must have expert judgment ability to use technology • The plan manager should assist in expanding and coordinating tasks throughout the project
- 16. Audience • Project managers • Program managers • Big data analytics • Decision makers of organizations • Strategic leaders • Executives
- 17. Training Objectives • Describe the big data analytics • Explain the business values of massive data • Talk about the opportunities and challenges of using big data • Choose if big data analytics serve their client’s interest, situation and knowledge • Manage data analytic projects • Assess risks related to the large data • Distinguish between a knowledge analytic project and a fishing expedition
- 18. Training Objectives • Decide the best approach • Conclude the time to stop the analysis • Talk about how project management can be used to sustain your data analytics capability • Elaborate how big data can be used to secure the progress of the project • Identify what analytics should be implemented
- 19. Course Outline: • Overview to Big Data and Project/Program Management • Project Management Process • Where Does Big Data Analytics expertise is Required? • Introduction to Big Data Management • Big Data Challenges • The Status of Big Data Management • Data Science Methods • Technical Practices for Big Data Management
- 20. Course Outline: • Analytic Exercises and Big Data Management • Applicable Programming Languages • Corporation Practices for Big Data Management • Top Priorities of Big Data Management • Choosing the Best Strategy • Organizational Leadership • Tonex Hands-On Sample Workshop
- 21. Learn More: Big Data For Project and Program Managers Training https://www.tonex.com/training-courses/big-data- project-program-managers-training/