Capstone case study from Google Data Analytics Professional Certificate program.

This dataset was collected by Motivate International Inc. I've included only the last 12 months, from November 2020 to October 2021.

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.

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.

Moreno, the director of marketing and your manager, 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.

Moreno has assigned you the first question to answer: How do annual members and casual riders use Cyclistic bikes differently? You will produce a report with the following deliverables: 1. A clear statement of the business task 2. A description of all data sources used 3. Documentation of any cleaning or manipulation of data 4. A summary of your analysis 5. Supporting visualizations and key findings 6. Your top three recommendations based on your analysis

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.

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

This dataset is designed to explore multistreaming social media video as a research method used to collect semi-structured interview data. The data are provided by Dr Karen E. Sutherland and Ms Krisztina Morris from the School of Business and Creative Industries at the University of the Sunshine Coast in Queensland, Australia. The dataset is drawn from the publicly available video recording of an interview undertaken as part of the research project called: ‘Like, Share, Follow’, a multistreaming show, featuring Dr Sutherland interviewing university graduates about their career journeys, that is broadcast across Facebook, LinkedIn, and Twitter and later uploaded to YouTube. This dataset examines how multistreaming video interview data can be used to answer research questions and the benefits and challenges this specific method of data collection can pose in the process of data analysis. The video example is accompanied by a teaching guide and a student guide.

The global construction data analytics software market is expected to grow from USD 11,560 million in 2025 to USD 28,974 million by 2033, at a CAGR of 10.0% during the forecast period. The market growth is attributed to the increasing adoption of digital technologies in the construction industry, the need for improved project efficiency, and the growing awareness of the benefits of data analytics. The construction industry is facing challenges such as project delays, cost overruns, and poor quality due to inefficient data management and lack of visibility into project performance. Construction data analytics software addresses these challenges by providing real-time insights into project data, enabling construction companies to make informed decisions and improve project outcomes. Key drivers of the construction data analytics software market include the increasing adoption of Building Information Modeling (BIM), the growing popularity of cloud-based solutions, and the government initiatives to promote digitalization in the construction industry. The construction industry is transitioning from traditional paper-based processes to digital tools and technologies, and BIM is playing a significant role in this transition. BIM is a 3D digital representation of a building project that provides a comprehensive view of the project's design, construction, and operation. Data analytics software can leverage the data from BIM models to provide valuable insights into project performance, such as identifying potential delays and cost overruns. Additionally, the growing popularity of cloud-based solutions is making data analytics software more accessible and affordable for construction companies of all sizes. Cloud-based solutions eliminate the need for on-premises infrastructure and IT support, making it easier for construction companies to adopt and implement data analytics software.

The success of scientific projects increasingly depends on using data analysis tools and data in distributed IT infrastructures. Scientists need to use appropriate data analysis tools and data, extract patterns from data using appropriate computational resources, and interpret the extracted patterns. Data analysis tools and data reside on different machines because the volume of the data often demands specific resources for their storage and processing, and data analysis tools usually require specific computational resources and run-time environments. The data analytics software framework DASF, developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de) and funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/), provides a framework for scientists to conduct data analysis in distributed environments. The data analytics software framework DASF supports scientists to conduct data analysis in distributed IT infrastructures by sharing data analysis tools and data. For this purpose, DASF defines a remote procedure call (RPC) messaging protocol that uses a central message broker instance. Scientists can augment their tools and data with this protocol to share them with others. DASF supports many programming languages and platforms since the implementation of the protocol uses WebSockets. It provides two ready-to-use language bindings for the messaging protocol, one for Python and one for the Typescript programming language. In order to share a python method or class, users add an annotation in front of it. In addition, users need to specify the connection parameters of the message broker. The central message broker approach allows the method and the client calling the method to actively establish a connection, which enables using methods deployed behind firewalls. DASF uses Apache Pulsar (https://pulsar.apache.org/) as its underlying message broker. The Typescript bindings are primarily used in conjunction with web frontend components, which are also included in the DASF-Web library. They are designed to attach directly to the data returned by the exposed RPC methods. This supports the development of highly exploratory data analysis tools. DASF also provides a progress reporting API that enables users to monitor long-running remote procedure calls. One application using the framework is the Digital Earth Flood Event Explorer (https://git.geomar.de/digital-earth/flood-event-explorer). The Digital Earth Flood Event Explorer integrates several exploratory data analysis tools and remote procedures deployed at various Helmholtz centers across Germany.

This is a part of the capstone project for the professional certificate on “Google Data Analytics” offered through Coursera. This will be a great chance to apply the practices and procedures associated with the data analysis process to a given set of data. I am on the way to demonstrate my ability to handle real-life data as a junior data analyst; and this is going to be the first of my online portfolio.

Here, the case study context is, I am a junior data analyst working on 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, my team wants to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, my team will design a new marketing strategy to convert casual riders into annual members. But first, Cyclistic executives must approve my recommendations, so they must be backed up with compelling data insights and professional data visualizations.

Construction Data Analytics Software Market Outlook

The global construction data analytics software market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 7.9 billion by 2032, growing at a CAGR of 13.5% during the forecast period. The market is driven by increasing digital transformation in the construction industry and the need for data-driven decision-making processes.

The construction industry is experiencing a paradigm shift with the integration of advanced technologies like data analytics software. One of the primary growth factors is the increasing emphasis on improving efficiency and reducing project costs. Construction projects are complex, involving various stakeholders and numerous phases, from planning to completion. Data analytics software provides stakeholders with real-time insights, facilitating better decision-making and resource management, which ultimately leads to cost savings and enhanced efficiency. As companies recognize the potential benefits, investments in construction data analytics software are on the rise, further propelling market growth.

Another significant growth driver is the growing adoption of IoT and connected devices within the construction sector. These devices generate massive amounts of data, which can be harnessed through advanced analytics to predict potential issues, optimize workflows, and enhance safety protocols. The convergence of IoT and data analytics is creating new opportunities for construction companies to gain a competitive edge in the market. Additionally, governmental regulations and industry standards are increasingly mandating the use of digital tools and data analysis to ensure compliance, which is further boosting the demand for construction data analytics software.

Moreover, the increasing focus on sustainability and green building practices is significantly influencing the adoption of data analytics in construction. Companies are now more than ever aware of the environmental impact of their activities and are seeking ways to minimize their carbon footprint. Data analytics software enables construction firms to monitor and manage energy consumption, waste generation, and resource utilization more effectively. This not only helps in achieving sustainability goals but also in meeting stringent regulations, thereby fostering market growth.

In terms of regional outlook, North America currently holds the largest share of the construction data analytics software market, followed by Europe and Asia Pacific. The substantial market share in North America can be attributed to the early adoption of advanced technologies and significant investments in infrastructure projects. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increasing construction activities, and favorable government initiatives aimed at digital transformation within the construction sector.

Component Analysis

The construction data analytics software market is segmented by component into software and services. The software segment encompasses various analytics platforms and tools designed to analyze data generated during construction activities. This segment is expected to hold the largest market share due to the increasing adoption of advanced software solutions by construction companies to streamline operations and enhance productivity. The software solutions provide functionalities like predictive analytics, real-time monitoring, and advanced reporting, which are invaluable for project management and decision-making.

Within the software segment, there are further sub-segments including project management software, risk management software, safety management software, and quality management software. Each of these sub-segments addresses specific needs within the construction process. Project management software, for instance, helps in planning, executing, and closing projects efficiently. Risk management software identifies and mitigates potential risks, while safety management software ensures compliance with safety standards and reduces incidents. Quality management software, on the other hand, monitors construction quality and ensures that the final output meets the desired standards.

The services segment includes professional services such as consulting, implementation, and support services, as well as managed services. As construction companies increasingly rely on data analytics software, the demand for professional services is also growing. These services assist companies in selecting the

Space Data Analytics Market Outlook

The global space data analytics market size was valued at approximately $3.2 billion in 2023 and is projected to reach around $11.8 billion by 2032, reflecting a robust CAGR of 15.6% over the forecast period. Driven by the increasing deployment of satellites and growing advancements in machine learning and data analytics technologies, the market is poised for substantial growth. The convergence of these technologies allows for more efficient data collection, processing, and utilization, which fuels the demand for space data analytics across various sectors.

The primary growth factor for the space data analytics market is the exponential increase in satellite deployments. Governments and private entities are launching satellites for diverse purposes such as communication, navigation, earth observation, and scientific research. This surge in satellite launches generates vast amounts of data that require sophisticated analytical tools to process and interpret. Consequently, the need for advanced analytics solutions to convert raw satellite data into actionable insights is driving the market forward. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of space data analytics, making them more accurate and efficient.

Another significant growth driver is the escalating demand for real-time data and analytics in various industries. Sectors such as agriculture, defense, and environmental monitoring increasingly rely on satellite data for applications like precision farming, border surveillance, and climate change assessment. The ability to obtain real-time data from satellites and analyze it promptly allows organizations to make informed decisions swiftly, thereby improving operational efficiency and outcomes. Furthermore, the growing awareness about the advantages of space data analytics in proactive decision-making is expanding its adoption across multiple sectors.

Moreover, international collaborations and government initiatives aimed at space exploration and satellite launches are propelling the market. Many countries are investing heavily in space missions and satellite projects, creating a fertile ground for the space data analytics market to thrive. These investments are accompanied by supportive regulatory frameworks and funding for research and development, further encouraging innovation and growth in the sector. Additionally, the commercialization of space activities and the emergence of private space enterprises are opening new avenues for market expansion.

Artificial Intelligence in Space is revolutionizing the way we approach space exploration and data analysis. By integrating AI technologies with space missions, scientists and researchers can process vast amounts of data more efficiently and accurately. This integration allows for real-time decision-making and predictive analytics, which are crucial for successful space missions. AI's ability to learn and adapt makes it an invaluable tool for navigating the complex and unpredictable environment of space. As AI continues to evolve, its applications in space exploration are expected to expand, offering new possibilities for understanding our universe and enhancing the capabilities of space data analytics.

From a regional perspective, North America holds the largest market share due to the presence of leading space agencies, like NASA, and prominent private space companies, such as SpaceX and Blue Origin. Europe follows closely, driven by robust investments in space research and development by the European Space Agency (ESA). The Asia Pacific region is expected to witness the fastest growth rate, attributed to increasing satellite launches by countries like China and India, alongside growing investments in space technology and analytics within the region.

Component Analysis

The space data analytics market can be segmented by component into software, hardware, and services. The software segment commands a significant share of the market due to the development of sophisticated analytics tools and platforms. These software solutions are crucial for processing and interpreting the vast amounts of data collected from satellites. Advanced algorithms and AI-powered analytics enable users to extract meaningful insights from raw data, driving the adoption of these solutions across various sectors. The continuous innovation in software capabilities, such as enhanced visualization t

The global market size of Music Recording is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Music Recording Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Music Recording industry. The key insights of the report:
1.The report provides key statistics on the market status of the Music Recording manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Music Recording industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Music Recording Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Music Recording as well as some small players. At least 9 companies are included:
* Universal Music Group
* Warner
* Sony Music Entertainment
* Rock Records Co.; Ltd
* Emperor Entertainment Group
* HIM International Music Inc.
For complete companies list, please ask for sample pages.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Music Recording market
* Music Publishing
* Music Recordings
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Mechanical
* Performance
* Synchronization
* Digital
* Others

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

The Construction Data Analytics Tool market is experiencing robust growth, driven by the increasing adoption of digital technologies within the construction industry. The market's expansion is fueled by several key factors: the need for enhanced project efficiency and cost reduction, improved risk management capabilities, and the demand for data-driven decision-making across all stages of construction projects. The integration of Building Information Modeling (BIM) and Internet of Things (IoT) technologies is further accelerating market growth, enabling real-time data collection and analysis, ultimately leading to better project outcomes. We estimate the 2025 market size at $3.5 billion, based on observed growth in related sectors and the increasing penetration of data analytics solutions in construction. A compound annual growth rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating significant future potential. Market segmentation reveals strong demand across various deployment models (installed PC, installed mobile, cloud-based) and user types (general contractors, building owners, independent construction managers, subcontractors). Cloud-based solutions are particularly gaining traction due to their accessibility, scalability, and cost-effectiveness. Geographical analysis suggests North America and Europe currently hold the largest market share, but rapid growth is anticipated in the Asia-Pacific region, driven by increasing infrastructure development and the adoption of advanced technologies in emerging economies. However, factors such as high initial investment costs for implementing data analytics tools and a lack of skilled workforce to interpret and utilize the data effectively present challenges to market penetration. Despite these restraints, the overall market outlook remains positive, fueled by technological advancements and the industry's ongoing push for digital transformation.

The GAPs Data Repository provides a comprehensive overview of available qualitative and quantitative data on national return regimes, now accessible through an advanced web interface at https://data.returnmigration.eu/.

This updated guideline outlines the complete process, starting from the initial data collection for the return migration data repository to the development of a comprehensive web-based platform. Through iterative development, participatory approaches, and rigorous quality checks, we have ensured a systematic representation of return migration data at both national and comparative levels.

The Repository organizes data into five main categories, covering diverse aspects and offering a holistic view of return regimes: country profiles, legislation, infrastructure, international cooperation, and descriptive statistics. These categories, further divided into subcategories, are based on insights from a literature review, existing datasets, and empirical data collection from 14 countries. The selection of categories prioritizes relevance for understanding return and readmission policies and practices, data accessibility, reliability, clarity, and comparability. Raw data is meticulously collected by the national experts.

The transition to a web-based interface builds upon the Repository’s original structure, which was initially developed using REDCap (Research Electronic Data Capture). It is a secure web application for building and managing online surveys and databases.The REDCAP ensures systematic data entries and store them on Uppsala University’s servers while significantly improving accessibility and usability as well as data security. It also enables users to export any or all data from the Project when granted full data export privileges. Data can be exported in various ways and formats, including Microsoft Excel, SAS, Stata, R, or SPSS for analysis. At this stage, the Data Repository design team also converted tailored records of available data into public reports accessible to anyone with a unique URL, without the need to log in to REDCap or obtain permission to access the GAPs Project Data Repository. Public reports can be used to share information with stakeholders or external partners without granting them access to the Project or requiring them to set up a personal account. Currently, all public report links inserted in this report are also available on the Repository’s webpage, allowing users to export original data.

This report also includes a detailed codebook to help users understand the structure, variables, and methodologies used in data collection and organization. This addition ensures transparency and provides a comprehensive framework for researchers and practitioners to effectively interpret the data.

The GAPs Data Repository is committed to providing accessible, well-organized, and reliable data by moving to a centralized web platform and incorporating advanced visuals. This Repository aims to contribute inputs for research, policy analysis, and evidence-based decision-making in the return and readmission field.

Explore the GAPs Data Repository at https://data.returnmigration.eu/.

The global sports data analytics service market is experiencing robust growth, driven by the increasing adoption of data-driven strategies by professional sports clubs, state management agencies, and other stakeholders. The market size in 2025 is estimated at $16,770 million. While the provided CAGR (Compound Annual Growth Rate) is missing, considering the rapid technological advancements in sports analytics and the growing demand for performance optimization, a conservative estimate of a 15% CAGR from 2025 to 2033 is plausible. This would project a market value exceeding $60,000 million by 2033. Key drivers include the need for enhanced player performance analysis, improved strategic decision-making, fan engagement optimization through personalized experiences, and the increasing accessibility of advanced analytics tools. Trends like the integration of artificial intelligence (AI) and machine learning (ML) for predictive modeling, the rise of wearable technology for real-time data collection, and the growing importance of data visualization are further fueling market expansion. However, factors like high implementation costs, data security concerns, and the need for specialized expertise can act as restraints. The market is segmented by service type (online and offline) and application (professional clubs, state management agencies, and others). Major players like SAS, Exasol, Sportradar, Whoop, and others are vying for market share, leveraging their technological capabilities and extensive data networks. The market's geographical distribution is diverse, with North America and Europe currently holding significant shares. However, regions like Asia-Pacific are expected to show significant growth in the coming years, driven by rising investments in sports infrastructure and the expanding popularity of various sports. The increasing availability of affordable data analytics solutions and the rising awareness of the benefits of data-driven decision-making in sports management are likely to accelerate adoption across different regions. The market is expected to continue its upward trajectory, propelled by the ongoing integration of advanced technologies and the growing demand for competitive advantage across the global sports landscape. Further research and more precise data would allow for a more definitive forecast.

The No-code AI Platform Market size was valued at USD 4.93 billion in 2023 and is projected to reach USD 31.95 billion by 2032, exhibiting a CAGR of 30.6 % during the forecasts period. No-code AI platform market refers to tools and applications that help the users create and implement AI without coding knowledge. Such platforms demystify the creation of AI solutions and effectively exclude the need for technical expertise which in turn speeds up the project. Some of the applications include, workflow automation, chatbot construction, and the creation of a predictive analytics model. This can be done in finance for purposes of fraud detection, in the retail line for customer analysis and in healthcare for observing patient’s health. Some of the trends are the usage of complex AI technologies like NLP and ML in No-Code environments, emergence of the Low-code/No-Code Hybrid models, and the shift towards the more accessible UI and more extensive adaptation for specific company requirements. Recent developments include: In October 2023, CyborgIntell, a prominent AI solutions provider, unveiled two new offerings tailored for the BFSI sector, Feature Store and Model Risk Management (MRM). Feature Store, a zero-code AI platform, automates the creation of thousands of new features from raw data, significantly reducing the time required for data preparation for modeling by 90%. This empowers financial institutions to analyze various aspects of their transactions, including behaviors, patterns, habits, preferences, risks, and relationships , In October 2023, Akkio Inc. introduced Generative Reports, an AI tool that instantly transforms data into actionable insights. This unique tool enables small and medium businesses to connect their data, describe projects, and automatically generate real-time reports. It offers a self-service solution for optimizing marketing spend, lead scoring, revenue forecasting, and enhancing customer experiences , In May 2023, Microsoft made an undisclosed investment in Builder.ai. This strategic collaboration was aimed at integrating Builder. Ai's AI assistant, Natasha, into Microsoft Teams video and chat software, enabling customers to create business apps seamlessly within the platform. Additionally, Builder.ai planned to enhance Natasha's capabilities by incorporating Microsoft's AI algorithms to achieve a more human-like conversational experience , In March 2023, Google LLC launched Gen App Builder, a new product designed to empower programmers in developing advanced generative AI applications, without machine learning proficiency. This product launch was aimed at enabling developers to seamlessly integrate experience into applications and websites into their applications and websites. With Google LLC's no-code conversational and search capabilities, this process is expected to take only a few minutes or hours .

The Construction Data Analytics Tool market is experiencing robust growth, driven by the increasing need for enhanced efficiency, cost reduction, and risk mitigation within the construction industry. The market, valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors: the widespread adoption of Building Information Modeling (BIM), the growing availability of affordable sensor technologies and data storage solutions, and the increasing demand for data-driven decision-making throughout the project lifecycle. Key trends include the integration of Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics, the rise of cloud-based solutions offering improved accessibility and collaboration, and the increasing focus on sustainability and environmental impact assessments through data analysis. While challenges remain, such as data security concerns and the need for skilled professionals to interpret complex data sets, the overall market outlook remains highly positive. The competitive landscape is dynamic, with established players like Autodesk and Hexagon PPM alongside innovative startups like Doxel.ai and Briq vying for market share. This competitive environment is driving innovation and further accelerating market growth. The substantial growth trajectory is expected to continue throughout the forecast period, propelled by advancements in data analytics techniques and the increasing integration of these tools into various construction project phases. The market segmentation will likely see further refinement, with specialized solutions emerging to cater to specific construction sectors (e.g., residential, commercial, infrastructure) and project types. Companies are focusing on developing user-friendly interfaces and integrating their solutions with existing construction management software to enhance adoption. Furthermore, the rising adoption of digital twins and the integration of Internet of Things (IoT) devices will contribute to the expansion of the data available for analysis, thereby creating new opportunities for the development and deployment of advanced analytics tools in the construction industry.

Construction Data Analytics Platform Market Outlook

According to our latest research, the global construction data analytics platform market size reached USD 6.2 billion in 2024, reflecting the rapidly growing adoption of digital solutions in the construction sector. The market is expected to grow at a strong CAGR of 15.7% during the forecast period, reaching USD 22.4 billion by 2033. This robust growth is primarily driven by the increasing need for real-time data-driven decision-making, enhanced project efficiency, and the rising integration of advanced analytics and AI technologies across the construction industry.

The accelerated digital transformation in the construction sector is a pivotal growth factor for the construction data analytics platform market. Construction firms are now prioritizing the deployment of data analytics platforms to streamline operations, improve project management, and gain actionable insights from vast amounts of data generated on-site and off-site. The proliferation of IoT-enabled devices and sensors on construction sites has resulted in a surge of data, necessitating sophisticated analytics solutions to harness this information for predictive maintenance, risk mitigation, and resource optimization. Furthermore, the growing emphasis on reducing project delays, cost overruns, and safety incidents is compelling stakeholders to invest in robust analytics platforms that can deliver real-time monitoring and predictive insights, thus fostering operational excellence.

Another significant driver propelling the construction data analytics platform market is the increasing adoption of cloud-based solutions. Cloud deployment models offer scalability, flexibility, and cost-effectiveness, making them particularly attractive for construction firms of all sizes. Cloud-based analytics platforms enable seamless collaboration among geographically dispersed project teams, facilitate remote monitoring, and ensure that stakeholders have access to up-to-date project data at all times. This shift towards cloud technology is further supported by the integration of AI and machine learning algorithms, which enhance the predictive capabilities of these platforms, automate routine tasks, and deliver deeper insights into project performance, risk factors, and resource allocation.

The heightened focus on regulatory compliance and safety standards in the construction industry is also contributing to the market’s expansion. Governments and industry bodies worldwide are imposing stringent regulations to ensure worker safety and environmental sustainability. Construction data analytics platforms play a crucial role in helping firms adhere to these regulations by providing real-time tracking of safety metrics, automating compliance reporting, and identifying potential hazards before they escalate. The ability to leverage analytics for proactive risk management and compliance monitoring is increasingly seen as a competitive advantage, driving widespread adoption of these platforms across the sector.

Regionally, North America continues to dominate the construction data analytics platform market, supported by the early adoption of digital construction technologies and a mature IT infrastructure. However, the Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, significant infrastructure investments, and government initiatives promoting digital transformation in construction. Europe also demonstrates steady growth, driven by stringent regulatory requirements and a strong focus on sustainable construction practices. Meanwhile, Latin America and the Middle East & Africa are gradually embracing analytics platforms, primarily in large-scale infrastructure and smart city projects, albeit at a slower pace due to budget constraints and limited digital maturity.

Component Analysis

The construction data analytics platform market is segmented by component into software and services, with software accounting for the largest share in 2024. Software soluti

This case study is part of the Google Data Analytics certificate.

As a Jr.Data analyst, I have been assigned the task of answering the following question: "How do annual members and casual riders use Cyclistic bikes differently?"

To answer the assigned task, I have used 12 months of the data provided by the Cyclistic bike-share company.

Big Data Analytics Tools Market Outlook

The global big data analytics tools market size was valued at approximately USD 45.5 billion in 2023 and is expected to reach around USD 120.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.4% during the forecast period. The growth of this market can be attributed to the increasing adoption of advanced analytics tools across various sectors to harness the power of big data.

One of the primary growth factors driving the big data analytics tools market is the rapid digitization across industries. Organizations are generating massive volumes of data through various sources such as social media, sensors, and transactional databases. The need to analyze this data and derive actionable insights to drive business decisions is propelling the demand for big data analytics tools. These tools enable organizations to gain a competitive edge, improve operational efficiency, and enhance customer experience by providing accurate and timely insights.

Another significant factor contributing to the market growth is the increasing adoption of AI and machine learning technologies. Integrating these advanced technologies with big data analytics tools has revolutionized the way data is analyzed and interpreted. AI-driven analytics enables predictive and prescriptive insights that help organizations in strategic planning and decision-making processes. Furthermore, the advent of advanced algorithms and computational capabilities has made it possible to process and analyze vast datasets in real-time, further boosting the market growth.

The proliferation of the Internet of Things (IoT) is also a major driver for the big data analytics tools market. With the increasing number of connected devices, a massive amount of data is being generated every second. Big data analytics tools are essential for managing and analyzing this data to derive meaningful insights. IoT data analytics helps in improving operational efficiencies, optimizing resource utilization, and enhancing product and service offerings. The integration of IoT with big data analytics tools is creating new opportunities for businesses to innovate and grow.

From a regional perspective, North America holds a significant share in the big data analytics tools market due to the early adoption of advanced technologies and the presence of major industry players. The region's robust IT infrastructure and high investment in research and development activities further accelerate market growth. Europe follows closely, with significant investments in big data projects and stringent data protection regulations driving the demand for analytics tools. The Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by rising digital transformation initiatives and increasing adoption of big data technologies across various industries.

Component Analysis

The big data analytics tools market by component is segmented into software and services. The software segment dominates the market and is expected to continue its dominance throughout the forecast period. The software segment includes various types of analytics tools such as data discovery, data visualization, data mining, and predictive analytics software. These tools are essential for analyzing large datasets and extracting valuable insights. The growing need for data-driven decision-making and the increasing complexity of data are driving the demand for advanced analytics software.

On the other hand, the services segment is also witnessing significant growth. This segment includes professional services such as consulting, implementation, and support & maintenance services. Organizations often require expert assistance in deploying and managing big data analytics tools. Consulting services help businesses in selecting the right analytics tools and creating a robust data strategy. Implementation services ensure the seamless integration of analytics tools into existing IT infrastructure, while support & maintenance services provide ongoing technical assistance to ensure optimal performance. The increasing complexity of big data projects and the need for specialized skills are driving the growth of the services segment.

The integration of cloud-based analytics tools is also contributing to the growth of the software and services segments. Cloud-based solutions offer scalability, flexibility, and cost-effectiveness, making them an attractive option for organizations of all sizes. The ability to access analytics tools on-demand and pay for only wh

The UK geospatial analytics market is projected to reach a value of USD 1.85 billion by 2033, expanding at a CAGR of 11.26% during the forecast period (2025-2033). The increasing demand for geospatial data for decision-making across various industry verticals, such as defense, intelligence, healthcare, and transportation, is driving market growth. The government's emphasis on smart city projects and the adoption of location-based services are also contributing to the market's expansion. Key market trends include the growing adoption of cloud-based geospatial analytics platforms, the increasing use of artificial intelligence (AI) and machine learning (ML) for geospatial data analysis, and the emergence of 5G technology, which enables real-time data collection and processing. The market is segmented by type (surface analysis, network analysis, geovisualization) and end-user vertical (agriculture, utility and communication, defense and intelligence, government, mining and natural resources, automotive and transportation, healthcare, real estate and construction). Key players in the UK geospatial analytics market include SAS Institute Inc, Trimble, General Electric, Accenture, Bluesky International Ltd, ESRI Inc, Oracle Corporation, Bentley Systems Inc, and Hexagon. Recent developments include: April 2023: EDF used Esri UK corporate GIS to build a geospatial site for the Hinkley Point C nuclear power station, one of Europe's most extensive and complicated building projects. The portal provides a single picture of the entire project. They are facilitating greater cooperation and enabling new digital workflows, Assisting employees and contractors in improving safety and productivity. When the building of the nuclear reactors began, the portal has recently been expanded to include Tier-1 contractors, and it presently has over 1,500 users., April 2021: Esri UK launched a new cooperation with Tetra Tech, a worldwide consulting and engineering services company, to enhance indoor mapping capabilities by combining their expertise. Esri UK was to contribute to the partnership's robust GIS system, which had multiple indoor mapping capabilities, such as interactive floor plans and indoor location capabilities. Tetra Tech was to add 3D terrestrial laser scanning, data analytics, and CAD capabilities to GIS. They were to collaborate to provide customers with an end-to-end interior mapping solution to capitalize on an expanding need for indoor mapping for facilities management at central workplaces, campuses, or hospitals.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: High Costs and Operational Concerns, Concerns related to Geoprivacy and Confidential Data. Notable trends are: Location data will hold the significant share.

A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data.