100+ datasets found
  1. Google Advanced Data Analytics - Waze User Data

    • kaggle.com
    zip
    Updated Aug 22, 2024
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    Filipe Marques (2024). Google Advanced Data Analytics - Waze User Data [Dataset]. https://www.kaggle.com/datasets/joaofilipemarques/google-advanced-data-analytics-waze-user-data
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    zip(486537 bytes)Available download formats
    Dataset updated
    Aug 22, 2024
    Authors
    Filipe Marques
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The dataset was created in partnership with Waze for the Google Advanced Data Analytics Professional Certicate Portfolio Project.

    The original dataset’s provenance can be traced back to the Professional Certificate itself on Coursera.

    The dataset consists of 1 .csv file, including 15,000 observations and 13 distinct variables. The data includes information regarding the activity of individual users of the Waze application, such as number of sessions, drives, kilometers driven, and other activity variables, both in total and on a given month.

    The data consists of 13 variables: 8 integer variables, 2 string variables, and 3 float variables.

  2. Google Advanced Data Analytics Portfolio- Waze

    • kaggle.com
    zip
    Updated Oct 7, 2024
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    ayoreynolds (2024). Google Advanced Data Analytics Portfolio- Waze [Dataset]. https://www.kaggle.com/datasets/ayoreynolds/google-advanced-data-analytics-waze-dataset/code
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    zip(486537 bytes)Available download formats
    Dataset updated
    Oct 7, 2024
    Authors
    ayoreynolds
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Waze’s free navigation app makes it easier for drivers around the world to get to where they want to go. Waze’s community of map editors, beta testers, translators, partners, and users helps make each drive better and safer. Waze partners with cities, transportation authorities, broadcasters, businesses, and first responders to help as many people as possible travel more efficiently and safely.

    The dataset was created in partnership with Waze for the Google Advanced Data Analytics Professional Certificate Portfolio Project.

    The dataset consists of 1 .csv file, including 15,000 observations and 13 distinct variables. The data includes information regarding the activity of individual users of the Waze application, such as number of sessions, drives, kilometers driven, and other activity variables, both in total and on a given month.

    The data consists of 13 variables: 8 integer variables, 2 string variables, and 3 float variables.

  3. u

    Data from: The use of project portfolios in effective strategy execution to...

    • researchdata.up.ac.za
    zip
    Updated May 31, 2023
    + more versions
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    Palesa Agnes Ramashala (2023). The use of project portfolios in effective strategy execution to improve business value [Dataset]. http://doi.org/10.25403/UPresearchdata.13280141.v3
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    zipAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Palesa Agnes Ramashala
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Qualitative data gathered from interviews that were conducted with case organisations. The data is analysed using a qualitative data analysis tool (AtlasTi) to code and generate network diagrams. Software such as Atlas.ti 8 Windows will be a great advantage to use in order to view these results. Interviews were conducted with four case organisations. The details of the responses from the respondents from case organisations are captured. The data gathered during the interview sessions is captured in a tabular form and graphs were also created to identify trends. Also in this study is desktop review of the case organisations that formed part of the study. The desktop study was done using published annual reports over a period of more than seven years. The analysis was done given the scope of the project and its constructs.

  4. Cloud-based Project Portfolio Management Market by End-user and Geography -...

    • technavio.com
    pdf
    Updated Jul 27, 2021
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    Technavio (2021). Cloud-based Project Portfolio Management Market by End-user and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/cloud-based-project-portfolio-management-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Description

    Snapshot img

    The cloud-based project portfolio management market share is expected to increase by USD 4.83 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 18.26%.

    This cloud-based project portfolio management market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers cloud-based project portfolio management market segmentations by end user (manufacturing, ICT, healthcare, BFSI, and others) and geography (North America, Europe, APAC, MEA, and South America). The cloud-based project portfolio management market report also offers information on several market vendors, including Atlassian Corp. Plc, Broadcom Inc., Mavenlink Inc., Micro Focus International Plc, Microsoft Corp., Oracle Corp., Planview Inc., SAP SE, ServiceNow Inc., and Upland Software, Inc. among others.

    What will the Cloud-based Project Portfolio Management Market Size be During the Forecast Period?

    Download the Free Report Sample to Unlock the Cloud-based Project Portfolio Management Market Size for the Forecast Period and Other Important Statistics

    Cloud-based Project Portfolio Management Market: Key Drivers, Trends, and Challenges

    The increasing requirements for large-scale project portfolio management is notably driving the cloud-based project portfolio management market growth, although factors such as challenges from open-source platforms may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the cloud-based project portfolio management industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key Cloud-based Project Portfolio Management Market Driver

    The increasing requirements for large-scale project portfolio management is a major factor driving the global cloud-based project portfolio management market share growth. Currently, organizations are focusing on cultivating and managing the resources necessary for efficient product outputs, which increases the requirements for efficient solutions for large-scale project portfolio management. The primary purpose of the cloud-based project portfolio management software is to automate processes to ensure maximum outputs by managing resources and maintaining a regular follow-up. The main benefit of employing cloud-based project portfolio management software in large-scale project portfolio management is that automated services increase the connectivity so that organizations can handle the project-related inquiries easily and effectively. Also, automation decreases the response time and increases productivity, which ensures efficient process management. Additionally, by using cloud-based project portfolio management software, revenue possibilities can be rapidly increased by calculating conversion ratios and running reports to track the metrics detailed as per the customer demand. These features decrease the operating time. Due to such reasons, the demand for the market will grow significantly during the forecast period.

    Key Cloud-based Project Portfolio Management Market Trend

    The interlinking of software with project portfolio management is another factor supporting the global cloud- based project portfolio management market share growth. Since the demand for project portfolio management software is rising in the market, the stakeholders in several businesses are demanding new features in the software to increase their productivity. One of the main trends identified in the global cloud-based project portfolio management market is the interlinking of multiple software to match the requirements of the business. Currently, cloud-based project portfolio management software is deployed by several enterprises to give people access to documents, data, and reports from multiple devices at multiple locations. With all the data accessible centrally by numerous users, the accountability of the system will increase, which will provide enterprises with an instant overview of what everyone is working on. Additionally, interlinked project portfolio management software will enable the users to update data in real-time and will end the complication of sending endless email attachments of the same document. Moreover, the implementation of cloud-based project portfolio management will enhance the company's assurance for up-to-date data. Therefore, all such factor will contribute to the growth of the market.

    Key Cloud-based Project Portfolio Management Market Challenge

    The rising challenges from open-source platforms will be a major challenge for the global cloud-based project portfolio management market share growth during the forecast period. With the rising demand for digitalization in the current market s

  5. PrimeEstate

    • kaggle.com
    zip
    Updated Mar 21, 2023
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    Dennis Ponce Tagamolila (2023). PrimeEstate [Dataset]. https://www.kaggle.com/datasets/dtagamolila/primeestate
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    zip(1195689 bytes)Available download formats
    Dataset updated
    Mar 21, 2023
    Authors
    Dennis Ponce Tagamolila
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Real Estate Database

    This is a mock-up of a real estate company, this is based on an actual company that had a number of challenges - collection and revenue is the biggest issue. A deep dive into the available data will provide the possible reasons and is the purpose of the data analytics project.

    Here's the fictional business scenario:

    Ms. Aurora Sanchez, the Chief Operations Officer (COO) of Prime Estate talked to the operations data analyst team to discuss a couple of her requirements. Ms. Sanchez is responsible for sales, property and project management, customer service, collections, and several other operations departments under her umbrella. When she joined the organization in late 2018, she quickly got several escalations from buyers who were complaining about units, properties that were not turned over on time, and delays in the projects. Ms. Sanchez also noted problems with collections not meeting the targets, and inconsistent sales performance.

    As the COO, Ms. Sanchez wants to identify and validate the history of these problems as well as see if there have been improvements in these pain points ever since she joined Prime Estate. Her focus points are Collections, Project Management, Customer Service, Collections, and Sales.

    As the Business/Data Analyst Lead, your responsibility is to gather the performance data related to this part of operations, find trends, present findings, and provide recommendations that will help the organization improve the pain points of operations. You must work with the manager of customer service and collections, and the project and property management managers for this undertaking.

    The data that is available is an inventory database that includes a listing of all projects, properties, their cost, package price, current status, and sales date. Another database provided is the project management database that tracks the construction initiation, time lapsed till the project is at 90% completion, and another date that tags it at 100% completed. Lastly, the collections database includes a listing of all units that are tagged as sold and tracks the turnover date (the date that the unit was turned over to the owner), collection date (the date that the full amount was based on the package price and all other charges) was collected from the buyer through multiple channels.

  6. Google Data Analytics Capstone Project

    • kaggle.com
    zip
    Updated Nov 13, 2021
    + more versions
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    NANCY CHAUHAN (2021). Google Data Analytics Capstone Project [Dataset]. https://www.kaggle.com/datasets/nancychauhan199/google-case-study-pdf
    Explore at:
    zip(284279 bytes)Available download formats
    Dataset updated
    Nov 13, 2021
    Authors
    NANCY CHAUHAN
    Description

    Case Study: How Does a Bike-Share Navigate Speedy Success?¶

    Introduction

    Welcome to the Cyclistic bike-share analysis case study! In this case study, you will perform many real-world tasks of a junior data analyst. You will work for a fictional company, Cyclistic, and meet different characters and team members. In order to answer the key business questions, you will follow the steps of the data analysis process: ask, prepare, process, analyze, share, and act. Along the way, the Case Study Roadmap tables — including guiding questions and key tasks — will help you stay on the right path. By the end of this lesson, you will have a portfolio-ready case study. Download the packet and reference the details of this case study anytime. Then, when you begin your job hunt, your case study will be a tangible way to demonstrate your knowledge and skills to potential employers.

    Scenario

    You are a junior data analyst working in the marketing analyst team at Cyclistic, a bike-share company in Chicago. The director of marketing believes the company’s future success depends on maximizing the number of annual memberships. Therefore, your team wants to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, your team will design a new marketing strategy to convert casual riders into annual members. But first, Cyclistic executives must approve your recommendations, so they must be backed up with compelling data insights and professional data visualizations. Characters and teams ● Cyclistic: A bike-share program that features more than 5,800 bicycles and 600 docking stations. Cyclistic sets itself apart by also offering reclining bikes, hand tricycles, and cargo bikes, making bike-share more inclusive to people with disabilities and riders who can’t use a standard two-wheeled bike. The majority of riders opt for traditional bikes; about 8% of riders use the assistive options. Cyclistic users are more likely to ride for leisure, but about 30% use them to commute to work each day. ● Lily Moreno: The director of marketing and your manager. Moreno is responsible for the development of campaigns and initiatives to promote the bike-share program. These may include email, social media, and other channels. ● Cyclistic marketing analytics team: A team of data analysts who are responsible for collecting, analyzing, and reporting data that helps guide Cyclistic marketing strategy. You joined this team six months ago and have been busy learning about Cyclistic’s mission and business goals — as well as how you, as a junior data analyst, can help Cyclistic achieve them. ● Cyclistic executive team: The notoriously detail-oriented executive team will decide whether to approve the recommended marketing program.

    About the company

    In 2016, Cyclistic launched a successful bike-share offering. Since then, the program has grown to a fleet of 5,824 bicycles that are geotracked and locked into a network of 692 stations across Chicago. The bikes can be unlocked from one station and returned to any other station in the system anytime. Until now, Cyclistic’s marketing strategy relied on building general awareness and appealing to broad consumer segments. One approach that helped make these things possible was the flexibility of its pricing plans: single-ride passes, full-day passes, and annual memberships. Customers who purchase single-ride or full-day passes are referred to as casual riders. Customers who purchase annual memberships are Cyclistic members. Cyclistic’s finance analysts have concluded that annual members are much more profitable than casual riders. Although the pricing flexibility helps Cyclistic attract more customers, Moreno believes that maximizing the number of annual members will be key to future growth. Rather than creating a marketing campaign that targets all-new customers, Moreno believes there is a very good chance to convert casual riders into members. She notes that casual riders are already aware of the Cyclistic program and have chosen Cyclistic for their mobility needs. Moreno has set a clear goal: Design marketing strategies aimed at converting casual riders into annual members. In order to do that, however, the marketing analyst team needs to better understand how annual members and casual riders differ, why casual riders would buy a membership, and how digital media could affect their marketing tactics. Moreno and her team are interested in analyzing the Cyclistic historical bike trip data to identify trends

    Three questions will guide the future marketing program:

    How do annual members and casual riders use Cyclistic bikes differently? Why would casual riders buy Cyclistic annual memberships? How can Cyclistic use digital media to influence casual riders to become members? Moreno has assigned you the first question to answer: How do annual members and casual rid...

  7. Project Portfolio Management (PPM) Software Market Analysis, Size, and...

    • technavio.com
    pdf
    Updated Jun 11, 2025
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    Technavio (2025). Project Portfolio Management (PPM) Software Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/project-portfolio-management-software-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Project Portfolio Management (PPM) Software Market Size 2025-2029

    The project portfolio management (PPM) software market size is valued to increase USD 4.79 billion, at a CAGR of 16% from 2024 to 2029. Increasing need for large-scale project management will drive the project portfolio management (PPM) software market.

    Major Market Trends & Insights

    North America dominated the market and accounted for a 41% growth during the forecast period.
    By Deployment - On-premises segment was valued at USD 1.71 billion in 2023
    By End-user - BFSI segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 286.51 million
    Market Future Opportunities: USD 4785.50 million
    CAGR from 2024 to 2029 : 16%
    

    Market Summary

    The market represents a dynamic and continually evolving landscape, driven by the increasing need for effective project management solutions in today's business environment. Core technologies, such as cloud computing and artificial intelligence, are transforming PPM software, enabling real-time collaboration, predictive analytics, and automated workflows. Applications of these technologies span various industries, from IT and construction to healthcare and finance. Service types, including on-premises, cloud-based, and hybrid solutions, cater to diverse organizational needs. The market is also influenced by regulations, such as the European Union's General Data Protection Regulation (GDPR), which necessitates robust data security and privacy features in PPM software.
    Despite these opportunities, challenges persist, including the growing adoption of open-source platforms and the need to integrate them with proprietary PPM solutions. According to recent reports, the open-source PPM market is expected to grow at a steady pace, capturing a significant market share. As of 2021, it is estimated that open-source PPM solutions account for approximately 25% of the total market share. In conclusion, the PPM Software Market continues to evolve, presenting both opportunities and challenges for companies and organizations alike. By staying informed of the latest trends, technologies, and regulatory requirements, businesses can make informed decisions and optimize their project portfolio management strategies.
    

    What will be the Size of the Project Portfolio Management (PPM) Software Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Project Portfolio Management (PPM) Software Market Segmented ?

    The project portfolio management (PPM) software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Deployment
    
      On-premises
      Cloud-based
    
    
    End-user
    
      BFSI
      Information and technology
      Healthcare
      Construction and infrastructure
      Others
    
    
    Platform
    
      Software
      Services
    
    
    Sector
    
      Large enterprise
      SMEs
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Deployment Insights

    The on-premises segment is estimated to witness significant growth during the forecast period.

    Project Portfolio Management (PPM) software is a crucial business solution for organizations seeking to effectively manage and prioritize their projects. In 2024, the on-premises segment holds a significant market share in the global PPM software market. This type of software is installed and operated on an organization's premises, offering specialized tools and features for large businesses. It automates corporate-wide business systems, catering to complex enterprise-level projects. Currently, approximately 57.3% of businesses use on-premises PPM software for project scheduling, budget tracking, resource leveling, earned value management, and strategic alignment. These solutions facilitate project lifecycle phases, ensuring value delivery, stakeholder management, collaboration, document management, project governance, time management techniques, demand management, and risk management.

    Request Free Sample

    The On-premises segment was valued at USD 1.71 billion in 2019 and showed a gradual increase during the forecast period.

    Looking ahead, the future of the PPM software market is promising, with a projected 31.5% increase in adoption by businesses. This growth is driven by the continuous evolution of project management methodologies, such as scrum project management, critical chain methodology, change management process, agile project management, dependency management, project success metrics, work breakdown structure, project portfolio dashboard, and resource allocation optimization. Moreover, P

  8. Data from: Development of a managerial tool for prioritization and selection...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Roberto Kaiser; André Hideto Futami; Luiz Veriano Oliveira Dalla Valentina; Marco Aurélio de Oliveira (2023). Development of a managerial tool for prioritization and selection of portfolio projects using the Analytic Hierarchy Process methodology in software companies [Dataset]. http://doi.org/10.6084/m9.figshare.9900176.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Roberto Kaiser; André Hideto Futami; Luiz Veriano Oliveira Dalla Valentina; Marco Aurélio de Oliveira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This study presents a managerial tool for prioritization and portfolio selection of software development projects using the methodology Analytic Hierarchy Process (AHP). The need for better results with scarce resources is a challenge for organizations to generate competitive advantage. The tool is structured according to the analysis of articles related to project prioritization and selection, portfolio management and the AHP methodology. The research approach was quantitative through an applied case study. The case was developed in a medium-sized software company in Santa Catarina, a leader in solutions for management excellence, provider of software and services for automation and business process improvement, regulatory compliance, and corporate governance. It has more than 2000 clients, of diverse sizes and lines of action. A committee was set up with managers and analysts to define the groups and criteria, and the application of a pilot of projects. There were opportunities to use this managerial tool to minimize power play, integration, information sharing, learning, commitment among decision makers and selection of strategically aligned projects.

  9. n

    Data sets and their analysis for: Modeling stochastic optimal portfolio of...

    • narcis.nl
    • data.mendeley.com
    Updated Jan 9, 2018
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    Jafarzadeh, M (via Mendeley Data) (2018). Data sets and their analysis for: Modeling stochastic optimal portfolio of partitioned projects financed by loan within a flexible time horizon [Dataset]. http://doi.org/10.17632/scz4c488x5.2
    Explore at:
    Dataset updated
    Jan 9, 2018
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Jafarzadeh, M (via Mendeley Data)
    Description

    Our model is examined based on an extensive data set. The values of model parameters are generated randomly using discrete uniform distribution.

  10. DSIT Government Major Projects Portfolio data, 2023

    • gov.uk
    Updated Jul 20, 2023
    + more versions
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    Department for Science, Innovation and Technology (2023). DSIT Government Major Projects Portfolio data, 2023 [Dataset]. https://www.gov.uk/government/publications/dsit-government-major-projects-portfolio-data-2023
    Explore at:
    Dataset updated
    Jul 20, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Science, Innovation and Technology
    Description

    Each government department has published detailed information about projects on the Government Major Projects Portfolio (GMPP). This includes a Delivery Confidence Assessment rating, financial information (whole life cost, annual budget and forecast spend), project schedule and project narrative.

    The data reflects the status of the GMPP at 31 March 2023 and is published in support of the 2023 Infrastructure and Projects Authority (IPA) annual report.

  11. supply chain data set

    • kaggle.com
    Updated Aug 8, 2023
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    shiva iyer (2023). supply chain data set [Dataset]. https://www.kaggle.com/datasets/shivaiyer129/supply-chain-data-set
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    shiva iyer
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    The dataset contains information related to supply chain operations, including orders, products, inventory, suppliers, logistics, and demand. It aims to optimize supply chain efficiency and improve performance through predictive analytics, inventory management, and logistics optimization.

  12. P

    Project, Portfolio & Program Management Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 6, 2025
    + more versions
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    Data Insights Market (2025). Project, Portfolio & Program Management Software Report [Dataset]. https://www.datainsightsmarket.com/reports/project-portfolio-program-management-software-1973102
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Project, Portfolio & Program Management Software market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

  13. P

    Project Portfolio Management Software Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jul 12, 2025
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    Pro Market Reports (2025). Project Portfolio Management Software Market Report [Dataset]. https://www.promarketreports.com/reports/project-portfolio-management-software-market-8699
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Project Portfolio Management Software Market was valued at USD 11.1 billion in 2023 and is projected to reach USD XXX billion by 2032, with an expected CAGR of XX% during the forecast period. Recent developments include: In March 2021, Symphony Technology Group, a U.S.-based private equity firm specializing in innovative software, data, and analytics, acquired Sciforma, a prominent PPM software provider. This acquisition aimed to expand Symphony's portfolio in the project management domain and leverage Sciforma's expertise to offer comprehensive solutions to a broader client base. . Key drivers for this market are: Growing Demand for Cloud-Based PPM Solutions, Need for Comprehensive Insights into Project Operations and Resource Management. Potential restraints include: Concerns Related to Data Confidentiality. Notable trends are: Artificial intelligence (AI) and machine learning (ML) are being integrated into PPM software to provide predictive analytics, automate routine tasks, and optimize resource allocation. These technologies enhance decision-making by identifying potential risks and opportunities.

    .

  14. SQL Data Exploration COVID Portfolio V1

    • kaggle.com
    zip
    Updated Jun 16, 2023
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    Mohammad Hurairah (2023). SQL Data Exploration COVID Portfolio V1 [Dataset]. https://www.kaggle.com/datasets/mohammadhurairah/covid-portfolio-project-sql-v1
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    zip(61483158 bytes)Available download formats
    Dataset updated
    Jun 16, 2023
    Authors
    Mohammad Hurairah
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Data exploration, cleaning, and arrangement with Covid Death and Covid Vaccination which is involved:

    1. Data that going to be using

    2. Shows the likelihood of dying if you contract covid in your country

    3. Show what percentage of the population got Covid

    4. Looking at Countries with the Highest Infection Rate compared to the Population

    5. Showing the Country with the Highest Death Count per Population

    6. Break things down by continent

    7. Continents with the Highest death count per population

    8. Looking at Total Population vs Vaccinations

    9. Used CTE and Temp Table

    10. Creating View to store data for later visualizations

  15. r

    Cloud Project Portfolio Management Market Market Data Report | Growth Trends...

    • reportsanddata.com
    pdf,excel,csv,ppt
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    Reports and Data, Cloud Project Portfolio Management Market Market Data Report | Growth Trends & Industry Analysis [Dataset]. https://www.reportsanddata.com/report-detail/cloud-project-portfolio-management-cppm-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Reports and Data
    License

    https://www.reportsanddata.com/privacy-policyhttps://www.reportsanddata.com/privacy-policy

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Understand Cloud Project Portfolio Management Market potential with forecast data, size estimates, and growth opportunities through 2034.

  16. P

    Project Portfolio Management Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 3, 2025
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    Data Insights Market (2025). Project Portfolio Management Market Report [Dataset]. https://www.datainsightsmarket.com/reports/project-portfolio-management-market-13810
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Project Portfolio Management (PPM) market, valued at $5.59 billion in 2025, is projected to experience robust growth, driven by increasing organizational complexity and the need for improved resource allocation and project success rates. A Compound Annual Growth Rate (CAGR) of 4.10% from 2025 to 2033 indicates a significant expansion of this market over the forecast period. Key drivers include the rising adoption of cloud-based PPM solutions, offering enhanced scalability, accessibility, and collaboration features. Furthermore, the increasing demand for data-driven insights and advanced analytics capabilities within PPM software is fueling market growth. The shift towards agile methodologies and the need for better alignment of projects with strategic business goals are also contributing factors. While the market faces challenges such as initial investment costs and integration complexities with existing systems, the overall positive trajectory is expected to continue. The various deployment types (cloud and on-premise) cater to diverse organizational needs and preferences, while solution and service offerings provide comprehensive support throughout the project lifecycle. Significant market segmentation exists across diverse end-user verticals including IT & Telecom, Healthcare & Life Sciences, Manufacturing, Construction, Retail & Consumer Goods, and BFSI, reflecting the widespread applicability of PPM across industries. Leading players like Workday, Wrike, Monday.com, Smartsheet, Microsoft, and others are continuously innovating to enhance their offerings and capture a larger market share. The competitive landscape is characterized by both established players and emerging startups, leading to continuous product improvement and innovation within the PPM market. The North American market currently holds a significant share, driven by early adoption of technology and a mature IT infrastructure. However, growth in regions like Asia and Europe is anticipated to accelerate, fueled by increasing digital transformation initiatives and growing awareness of the benefits of effective project portfolio management. The continued development of sophisticated PPM tools, encompassing features such as AI-powered predictive analytics and risk management functionalities, will play a crucial role in shaping the market's future landscape. This ongoing evolution will further enable organizations to optimize project performance, enhance resource utilization, and ultimately achieve their strategic objectives more effectively. This comprehensive report provides an in-depth analysis of the global Project Portfolio Management (PPM) market, offering invaluable insights for businesses seeking to navigate this rapidly evolving landscape. Covering the historical period (2019-2024), base year (2025), and forecast period (2025-2033), this study delivers a detailed understanding of market dynamics, trends, and future growth potential. The report's robust methodology and meticulous data analysis are designed to assist strategic decision-making, investment planning, and competitive analysis within the PPM sector. The market is valued in millions of USD. Recent developments include: May 2022 - Proggio, a next-generation Project Portfolio Management solution based in Tel Aviv with offices in Salt Lake City, closed a $ 7 million Series A round led by 2.0 Ventures (Salt Lake City) with participation from both existing investors Mangrove Capital Partners (Luxembourg) and Cresson Management (Israel) and use the funding to accelerate its operations and growth in the United States and continue to strengthen its enterprise solution., May 2022 - Onepoint Projects GmbH launched a new version of its ONEPOINT Projects, a web-based project and portfolio management (PPM) solution. This new version integrates support for the Scaled Agile Framework in a new optional module., March 2022 - ServiceNow announced its Now Platform San Diego release. With an upgraded, more modern visual design and new robotic process automation (RPA) capabilities that deliver on the promise of hyper-automation, the latest version of the Now Platform is designed to help organizations address the most pressing challenges facing every industry in every region, and transform businesses for a new economy.. Key drivers for this market are: Recent Changes In Work Culture and Move toward Remote Teams has Made It Imperative to Develop A Centralized View of Task Management and Resource Utilization, Long-term Cost Benefits Enabled By Timely Use of Planning & Scheduling Tools, Coupled With Growing Demand For Cloud-based Ppm; Integration Of Several Allied Modules And Collaborations Have Increased The Span of PPM to Cover The Entire Workspace Related Tasks. Potential restraints include: Evolving Market Regulations. Notable trends are: Recent Changes In Work Culture And Move Towards Remote Teams to Drive the Market.

  17. EU entry-level data analyst job postings

    • kaggle.com
    zip
    Updated Jun 27, 2023
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    Terenci Claramunt (2023). EU entry-level data analyst job postings [Dataset]. https://www.kaggle.com/datasets/terencicp/eu-entry-level-data-analyst-linkedin-jobs/data
    Explore at:
    zip(397796 bytes)Available download formats
    Dataset updated
    Jun 27, 2023
    Authors
    Terenci Claramunt
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    European Union
    Description

    I created a web scraper to gather data from entry-level data analyst job postings from LinkedIn, as part of my data analyst portfolio project. I collected data on jobs related to Data analytics and Business Intelligence during the spring of 2023. This dataset is a small sample of the original data collected.

    View a detailed description of the project and the analysis of the full data at:

    https://terencicp.github.io/linkedin

  18. D

    Project Portfolio Management Software Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Project Portfolio Management Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-project-portfolio-management-software-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Project Portfolio Management Software Market Outlook



    The global project portfolio management (PPM) software market size was valued at approximately USD 4.6 billion in 2023 and is anticipated to reach USD 9.8 billion by 2032, expanding at a compound annual growth rate (CAGR) of 8.9% during the forecast period. This growth is primarily driven by the increasing need for optimizing project management processes and resources across industries. As organizations strive to enhance operational efficiency and productivity, the demand for advanced project management solutions has surged. The growing emphasis on digitization and the adoption of cloud-based solutions are further propelling the market's expansion, making it a critical tool for businesses aiming to streamline their project workflows.



    One of the primary growth factors for the PPM software market is the rising complexity of projects in an increasingly interconnected and digitalized global economy. Organizations are managing more diverse and geographically dispersed teams, leading to a surge in demand for software that can seamlessly integrate various projects and resources. This complexity is compounded by the need for real-time data and analytics to make informed decisions, propelling the adoption of sophisticated PPM tools. Furthermore, the growing competitiveness across sectors necessitates better management frameworks to optimize workflows and resources efficiently, driving organizations to invest in comprehensive PPM solutions.



    Another significant driver is the increasing emphasis on regulatory compliance and risk management across industries. As businesses face heightened scrutiny and regulatory mandates, there is a pressing need for software that can provide detailed compliance tracking and risk assessment capabilities. PPM software facilitates the alignment of projects with strategic objectives, ensuring that organizations can meet regulatory requirements while minimizing associated risks. Additionally, the integration of artificial intelligence and machine learning technologies into PPM software is enhancing its predictive analytics capabilities, offering organizations a competitive edge by proactively managing potential project disruptions.



    The market is also witnessing significant growth due to the widespread adoption of cloud-based PPM solutions. Cloud deployment offers several advantages, including cost efficiency, scalability, and ease of access, which are crucial for businesses of all sizes. Small and medium enterprises (SMEs), in particular, stand to benefit from cloud-based solutions as they offer robust capabilities without the need for substantial upfront investments in IT infrastructure. This accessibility democratizes the use of advanced project management tools, allowing SMEs to compete more effectively with larger enterprises, consequently driving the overall market growth.



    The evolution of IT Project Management Software has been a game-changer for businesses aiming to enhance their project delivery capabilities. These software solutions offer a comprehensive suite of tools that facilitate better planning, execution, and monitoring of IT projects, ensuring alignment with organizational goals. As the IT landscape continues to evolve with rapid technological advancements, the need for specialized project management tools becomes even more pronounced. IT Project Management Software not only aids in resource allocation and risk management but also integrates seamlessly with existing IT infrastructure, thereby optimizing the overall project management process. This integration is crucial for IT teams that manage complex projects with multiple dependencies and require real-time data to make informed decisions.



    Regionally, North America holds a dominant position in the PPM software market, owing to the strong presence of leading market players and the early adoption of advanced technologies. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by rapid industrialization, expanding IT infrastructure, and increasing investments in digital transformation initiatives. The burgeoning demand for efficient project management solutions in emerging economies like China and India is anticipated to significantly contribute to the market expansion in this region.



    Component Analysis



    The project portfolio management software market is segmented by components into software and services. The software segment domin

  19. C

    Cloud Project Portfolio Management Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 19, 2024
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    Data Insights Market (2024). Cloud Project Portfolio Management Market Report [Dataset]. https://www.datainsightsmarket.com/reports/cloud-project-portfolio-management-market-11893
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Cloud Project Portfolio Management market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 17.00% during the forecast period. Key drivers for this market are: , Growing Use of BYOD and Mobile Devices; Increased Adoption of Cloud Analytics. Potential restraints include: , Absence of Technical Capabilities and Skills in Handling Complex and Changing Environments. Notable trends are: Healthcare is Anticipated to be One of the Fastest Growing Verticals.

  20. C

    Cloud-based Project Portfolio Management Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 19, 2025
    + more versions
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    Market Report Analytics (2025). Cloud-based Project Portfolio Management Market Report [Dataset]. https://www.marketreportanalytics.com/reports/cloud-based-project-portfolio-management-market-11750
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Cloud-based Project Portfolio Management (PPM) market is experiencing robust growth, fueled by the increasing adoption of cloud technologies and the need for enhanced project visibility and control across organizations. The market, valued at approximately $XX million in 2025 (assuming a reasonable market size based on typical industry figures for similar SaaS markets and the provided CAGR), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18.26% from 2025 to 2033. This significant growth is driven by several key factors. Firstly, the inherent scalability and cost-effectiveness of cloud-based solutions are appealing to businesses of all sizes, eliminating the need for significant upfront infrastructure investments. Secondly, the improved collaboration and real-time data access offered by cloud PPM platforms enhance team productivity and project success rates. Thirdly, the increasing complexity of projects and the demand for better resource allocation are driving the adoption of sophisticated PPM tools capable of handling multifaceted project portfolios. Finally, the integration capabilities of cloud-based PPM software with other enterprise applications further enhance its value proposition. The market segmentation reveals substantial growth opportunities across various types and applications of cloud-based PPM software. While precise segment breakdowns are unavailable, we can infer that the software-as-a-service (SaaS) model is the dominant type, given its inherent alignment with cloud deployment. Application-wise, we anticipate robust demand across diverse sectors like IT, finance, and construction, reflecting the widespread need for effective project management across industries. Leading companies like Atlassian, Microsoft, and SAP are leveraging strategic partnerships, acquisitions, and continuous product innovation to maintain a competitive edge. The focus on enhanced consumer engagement, including intuitive user interfaces and robust reporting features, is crucial for market penetration and customer retention. Geographical expansion, particularly in rapidly developing economies within the Asia-Pacific region, presents significant growth potential. However, concerns regarding data security and integration challenges with legacy systems continue to act as restraints on market adoption.

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Filipe Marques (2024). Google Advanced Data Analytics - Waze User Data [Dataset]. https://www.kaggle.com/datasets/joaofilipemarques/google-advanced-data-analytics-waze-user-data
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Google Advanced Data Analytics - Waze User Data

Waze Dataset for the Google Advanced Data Analytics Portfolio Project

Explore at:
zip(486537 bytes)Available download formats
Dataset updated
Aug 22, 2024
Authors
Filipe Marques
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

The dataset was created in partnership with Waze for the Google Advanced Data Analytics Professional Certicate Portfolio Project.

The original dataset’s provenance can be traced back to the Professional Certificate itself on Coursera.

The dataset consists of 1 .csv file, including 15,000 observations and 13 distinct variables. The data includes information regarding the activity of individual users of the Waze application, such as number of sessions, drives, kilometers driven, and other activity variables, both in total and on a given month.

The data consists of 13 variables: 8 integer variables, 2 string variables, and 3 float variables.

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