As per the PfMP Certification, it is critical to keep track of project progress in order to keep the timetable on track. Six elements included in comprehensive project reports are mentioned here.
Fraud Detection with Graphs at the Danish Business AuthorityNeo4j
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, today’s sophisticated fraudsters escape detection by forming fraud rings with individuals paid, lured into or unknowingly fronting these activities. To uncover such fraud rings and the people behind them, it is essential to look beyond individual data points to the connections that link them.
Neo4j uncovers difficult-to-detect patterns that far outstrip the power of a relational database. Enterprise organisations use Neo4j to augment their existing fraud detection capabilities to combat a variety of financial crimes including first-party bank fraud, credit card fraud, ecommerce fraud, insurance fraud and money laundering – and all in real time.
Learn more how to battle fraud with the power of graph databases during this webinar. We are pleased to invite you to hear Marius Hartmann from Danish Business Authority talking about how they are combining graph analysis with machine learning to prevent fraud. In context of the COVID-19 compensation scheme controls, he will present use cases currently in production and explain why graph is a good fit for government authorities.
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
Fraud Detection with Graphs at the Danish Business AuthorityNeo4j
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, today’s sophisticated fraudsters escape detection by forming fraud rings with individuals paid, lured into or unknowingly fronting these activities. To uncover such fraud rings and the people behind them, it is essential to look beyond individual data points to the connections that link them.
Neo4j uncovers difficult-to-detect patterns that far outstrip the power of a relational database. Enterprise organisations use Neo4j to augment their existing fraud detection capabilities to combat a variety of financial crimes including first-party bank fraud, credit card fraud, ecommerce fraud, insurance fraud and money laundering – and all in real time.
Learn more how to battle fraud with the power of graph databases during this webinar. We are pleased to invite you to hear Marius Hartmann from Danish Business Authority talking about how they are combining graph analysis with machine learning to prevent fraud. In context of the COVID-19 compensation scheme controls, he will present use cases currently in production and explain why graph is a good fit for government authorities.
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
A Connections-first Approach to Supply Chain OptimizationNeo4j
Supply chain optimization is an unusual balancing act that requires finesse, skill and timely data. Every supply chain’s the key questions to be answered are:
What to Buy? -- what are the factors in determining your optimal product mix and set of suppliers.
How much to Buy? -- what are the most and least popular items at any given time interval
When to Buy? -- long lags in delivery timing may tax limit your flexibility and influence your inventory management practices.
We will illustrate an API-based solution that utilizes a Graph database platform to add demonstrable value to Supply Planning.
Productionising Machine Learning to automate the enterprise. Conference research question: How can you pin-point which core business processes to transform with increased automation and streamline daily workflows to boost in house efficiencies?
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
MLOps - Getting Machine Learning Into ProductionMichael Pearce
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Data-Centric Business Transformation Using Knowledge GraphsAlan Morrison
From a talk at the Data Architecture Summit in Chicago in 2018--reviews digital transformation and what deep transformation really implies at the data layer. Cross-enterprise knowledge graphs are becoming feasible and can be a key enabler of deep transformation.
Data centric business and knowledge graph trendsAlan Morrison
The deck for my kickoff keynote at the Data-Centric Architecture Forum, February 3, 2020. Includes related data, content, and architecture definitions and fundamental explanations, knowledge graph trends, market outlook, transformation case studies and benefits of large-scale, cross-boundary integration/interoperation.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
A Connections-first Approach to Supply Chain OptimizationNeo4j
Supply chain optimization is an unusual balancing act that requires finesse, skill and timely data. Every supply chain’s the key questions to be answered are:
What to Buy? -- what are the factors in determining your optimal product mix and set of suppliers.
How much to Buy? -- what are the most and least popular items at any given time interval
When to Buy? -- long lags in delivery timing may tax limit your flexibility and influence your inventory management practices.
We will illustrate an API-based solution that utilizes a Graph database platform to add demonstrable value to Supply Planning.
Productionising Machine Learning to automate the enterprise. Conference research question: How can you pin-point which core business processes to transform with increased automation and streamline daily workflows to boost in house efficiencies?
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
MLOps - Getting Machine Learning Into ProductionMichael Pearce
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Data-Centric Business Transformation Using Knowledge GraphsAlan Morrison
From a talk at the Data Architecture Summit in Chicago in 2018--reviews digital transformation and what deep transformation really implies at the data layer. Cross-enterprise knowledge graphs are becoming feasible and can be a key enabler of deep transformation.
Data centric business and knowledge graph trendsAlan Morrison
The deck for my kickoff keynote at the Data-Centric Architecture Forum, February 3, 2020. Includes related data, content, and architecture definitions and fundamental explanations, knowledge graph trends, market outlook, transformation case studies and benefits of large-scale, cross-boundary integration/interoperation.
How To Develop A Project Management PlanOrangescrum
For project managers, a successful outcome is always preceded by a well-prepared project management plan. A lot of effort is put into planning which helps you prepare a better Project Management Plan.
4. Proper planning of a software project unless the project is trivia.pdfeyevisioncare1
4. Proper planning of a software project unless the project is trivial in size, is obviously
important for a software project to succeed. What information must be included in software
project planning document? Explain in a paragraph or two (15pt.) 5. Risk management is one of
CMMI KPA (Key Process Area). Explain its concept in a paragraph or two (10pt.)
Solution
Typically many of the project\'s key stakeholders, that is those affected by both the project and
the project\'s end result, do not fully understand the nature of the project plan. Since one of the
most important and difficult aspects of project management is getting commitment and buying,
the first step is to explain the planning process and the project plan to all key stakeholders. It is
essential for them to understand the importance of this set of documents and to be familiar with
its content, since they will be asked to review and approve the documents that pertain to them.
Components of the Project Plan Include:
Baselines. Baselines are sometimes called performance measures, because the performance of
the entire project is measured against them. They are the project\'s three approved starting points
and include the scope, schedule, and cost baselines. These provide the \'stakes in the ground.\'
That is, they are used to determine whether or not the project is on track, during the execution of
the project.
Baseline management plans. These plans include documentation on how variances to the
baselines will be handled throughout the project. Each project baseline will need to be reviewed
and managed. A result of this process may include the need to do additional planning, with the
possibility that the baseline(s) will change. Project management plans document what the project
team will do when variances to the baselines occur, including what process will be followed,
who will be notified, how the changes will be funded, etc.
Other work products from the planning process. These include a risk management plan, a quality
plan, a procurement plan, a staffing plan, and a communications plan.
Step 2: Define roles and responsibilities. Not all key stakeholders will review all documents, so it
is necessary to determine who on the project needs to approve which parts of the plan. Some of
the key players are:
Step 3: Hold a kickoff meeting. The kickoff meeting is an effective way to bring stakeholders
together to discuss the project. It is an effective way to initiate the planning process. It can be
used to start building trust among the team members and ensure that everyone\'s idea are taken
into account. Kickoff meetings also demonstrate commitment from the sponsor for the project.
Here are some of the topics that might be included in a kickoff meeting:
Step 4: Develop a Scope Statement. The Scope Statement is arguably the most important
document in the project plan. It\'s the foundation for the rest of the project. It describes the
project and is used to get common agreement among the sta.
3The Project Management ProcessGroups A Case StudyAft.docxgilbertkpeters11344
3
The Project Management Process
Groups: A Case Study
After reading this chapter, you will be able to:
1. Describe the five project management process groups, the typical level of
activity for each, and the interactions among them
2. Understand how the project management process groups relate to the project
management knowledge areas
3. Discuss how organizations develop information technology project manage-
ment methodologies to meet their needs
4. Review a case study of an organization applying the project management
process groups to manage an information technology project, and understand
the contribution that effective project initiation, project planning, project
execution, project monitoring and controlling, and project closing make to
project success
OPENING CASE
rica Bell was in charge of the Project Management Office (PMO)
for her consulting firm. The firm, JWD (Job Well Done)
Consulting, had grown to include more than 200 full-time consul-
tants and even more part-time consultants. JWD Consulting pro-
vides a variety of consulting services to assist organizations in
selecting and managing information technology projects. The firm
focuses on finding and managing high-payoff projects and develop-
ing strong metrics to measure project performance and benefits to the
organization after the project is implemented. The firm’s emphasis
Objectives
E
on metrics and working collaboratively with its customers gives it
an edge over many competitors.
Joe Fleming, the CEO, wanted his company to continue to grow
and become a world-class consulting organization. Since the core of
the business was helping other organizations with project manage-
ment, he felt it was crucial for JWD Consulting to have an exemplary
process for managing its own projects. He asked Erica to work with
her team and other consultants in the firm to develop several intranet
site applications that would allow them to share their project man-
agement knowledge. He also thought it would make sense to make
some of the information available to the firm’s clients. For example,
the firm could provide project management templates, tools, articles,
links to other sites, and an “Ask the Expert” feature to help build
relationships with current and future clients. Since JWD Consulting
emphasizes the importance of high-payoff projects, Joe also wanted
to see a business case for this project before proceeding.
Recall from Chapter 1 that project management consists of nine knowledge
areas: integration, scope, time, cost, quality, human resources, communications,
risk, and procurement. Another important concept to understand is that projects
involve five project management process groups: initiating, planning, executing,
monitoring and controlling, and closing. Tailoring these process groups to meet
individual project needs increases the chance of success in managing projects. This
chapter describes each project management process group in detail through.
Understand the Project Cycle Management & Its Phases IntroductionDivya Malik
By implementing project management, businesses can establish clear goals and objectives for their initiatives, develop comprehensive plans to achieve those goals, allocate resources effectively, and manage risks and uncertainties. With project management, businesses can also improve communication and collaboration among team members, streamline decision-making processes, and ensure that projects are completed within budget and on time.
fective project management is critical to ensure that the results meet stakeholder expectations, yet organizations resist project management due to the perception that it must be complex and require excessive effort and expense.
This solution set overview will help you:
•Understand the Project Management Essentials.
•Implement the essentials to improve project success rates.
•Link to tools and templates for successful project planning, monitoring, and communication.
Clear success criteria, strong soft skills, a focus on resource planning, and an active approach to project management are more important than formalized frameworks, certified project managers or complex software.
Evaluation is a systematic process to understand what a program does and how well the program does it. Evaluation results can be used to maintain or improve program quality and to ensure that future planning can be more evidence-based.
in this topic i cover SWOT analysis, mile stone , Gantt chart, PERT, CPM, Bennett's hierarchy evaluation , logical framework approach
12 Terms You Should Know | Project Management Fundamentals
12 key terms that we think everyone should know (from beginners to experts)
12 key project management terms that she thinks everyone involved with projects should know. No longer get confused when confronted with unfamiliar terms
#projectmanagement #terms #tips #Tamdeed
NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading & best Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide.
www.nidmindia.com
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
Exploring Career Paths in Cybersecurity for Technical CommunicatorsBen Woelk, CISSP, CPTC
Brief overview of career options in cybersecurity for technical communicators. Includes discussion of my career path, certification options, NICE and NIST resources.
2. As the execution phase progresses, it's critical to keep
track of project progress in order to keep the timetable
on track. Six elements are included in comprehensive
project reports:
1. Project Information
Begin with the fundamentals. What is the name of the
project? Who will be in charge of the project's
management? What resources are available? Detailed
information is required for effective time, cost, and task
tracking. It's a risky assumption to presume that all
stakeholders are familiar with the project. Instead, even if it
looks like overkill, supply facts you know they'll need. This
not only makes things operate more smoothly, but it also
lays the framework for the project to be used as a model
3. Educationedge
2. Status Information
The most critical project status information is report
dates, which should always be front-and-centre. Data
that distinguishes status reports from other reports that
cross stakeholders' desks should also be visible to
attract attention.
4. 3. Milestone Review
Begin with the fundamentals. What is the name of the
project? Who will be in charge of the project's
management? What resources are available? Detailed
information is required for effective time, cost, and task
tracking. It's a risky assumption to presume that all
stakeholders are familiar with the project. Instead, even if it
looks like overkill, supply facts you know they'll need. This
not only makes things operate more smoothly, but it also
lays the framework for the project to be used as a model
5. Educationedge
4. Project Summary A predicted completion date, as well as resources and
expenditures spent, are all included in the project
overview. An important summary component is the
inclusion of issues that cause delays. There should be a
clear explanation of how these concerns may affect the
project's budget and timeline, as well as work being
done to ensure that the issues are resolved so that the
project may resume its normal course.
6. 5. Issues and Risks
This portion is easy to understand. Make a list of the
problems and dangers you've faced. Take note of how
these are being addressed. Finally, describe how the
resolutions are helping to complete the project.
Throughout the project life cycle, risk assessment and
risk management techniques must be adopted.
7. Educationedge
6. Project Metrics
Hard numbers and data points are used to
back up remarks. These metrics should
have been mentioned in the project
planning documents. Demonstrate how
data demonstrates the project's success
thus far, or how it identifies areas for
immediate improvement. For tracking
activities, time, prices, and managing
teams, determining metrics to measure
project success is critical.
Want to learn more about Project Report Elements? Sign
up for a PfMP Certification at Education Edge today!