This dataset contains events from a ticketing management process of the help desk of an Italian software company. The process consists of 9 activities, and all cases start with the insertion of a new ticket into the ticketing management system. Each case ends when the issue is resolved and the ticket is closed. This log contains 3804 process instances (a.k.a "cases") and 13710 events

This dataset shows the number of Information Technology Help Desk Tickets and hours of work associated with them.

The global help desk ticketing system market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions and the rising need for efficient customer service management across diverse industries. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $40 billion by 2033. This expansion is fueled by several key factors, including the escalating demand for improved customer experience, the proliferation of digital channels requiring integrated support solutions, and the growing adoption of AI-powered features like chatbots and automated ticketing. Large enterprises are currently the major consumers, but the Small and Medium-sized Enterprises (SME) segment is showing significant growth potential, driven by affordability and accessibility of cloud-based solutions. The shift towards cloud-based systems is undeniable, offering scalability, cost-effectiveness, and enhanced accessibility compared to on-premises deployments. However, security concerns and data privacy regulations continue to pose challenges for market expansion. The competitive landscape is diverse, with established players like Zendesk and Freshdesk alongside emerging innovative solutions. Geographic distribution indicates significant market penetration in North America and Europe, with Asia-Pacific emerging as a high-growth region driven by increasing digitalization and technological advancements. Further market segmentation reveals that the cloud-based help desk ticketing systems are dominating the market, accounting for approximately 70% of the total market share in 2025. This is primarily attributed to its ease of deployment, scalability and cost-effectiveness. The on-premises segment, while smaller, retains a significant share among organizations with stringent data security requirements or existing IT infrastructure. The large enterprise segment is expected to continue its dominance due to the higher investment capacity for advanced functionalities and skilled personnel. However, SMEs are increasingly adopting cloud-based solutions, driving market growth in this segment. Regional variations exist, with North America and Europe maintaining a significant lead due to early adoption and established IT infrastructure. However, the Asia-Pacific region is expected to show the fastest growth rate in the coming years owing to the expanding digital economy and rising customer expectations. The market's trajectory is anticipated to remain positive, driven by ongoing technological advancements, evolving customer expectations, and the increasing integration of help desk systems with other business applications.

A help desk helps to manage customer queries with ease where this blog states the latest help desk statistics that will help to understand everything that you need to know in 2025

The Help Desk & Ticketing Software market is experiencing robust growth, driven by the increasing need for efficient customer service and streamlined internal IT support across diverse organizations. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors: the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, the increasing demand for omnichannel support to cater to customers across various platforms, and the growing focus on improving customer satisfaction and employee productivity through automated ticketing systems. The shift towards remote work models has also significantly contributed to the market's expansion, as businesses require robust help desk solutions to manage geographically dispersed teams. Large enterprises are leading the adoption, followed by medium-sized and small enterprises, reflecting a trend toward improved support processes across all organizational scales. While the North American market currently holds the largest share, regions like Asia Pacific are demonstrating significant growth potential due to increasing digitalization and expanding IT infrastructure. Despite this positive outlook, certain restraints could impact market growth. These include the high initial investment costs associated with some solutions, the need for specialized technical expertise for implementation and maintenance, and the potential for integration challenges with existing enterprise systems. Furthermore, data security and privacy concerns are critical factors influencing the selection and adoption of help desk software, particularly among larger enterprises managing sensitive customer and internal data. To overcome these challenges, vendors are increasingly focusing on developing user-friendly interfaces, providing robust security features, and offering flexible pricing models to cater to diverse customer needs and budgets. The competitive landscape is fragmented, with established players like Zendesk and Freshdesk alongside emerging niche providers, fostering innovation and driving competition. This dynamic environment ensures continuous improvement in features and functionalities, further enhancing the overall value proposition for businesses seeking to optimize their customer and internal support operations.

The open-source help desk software market is experiencing robust growth, driven by increasing demand for cost-effective, customizable, and scalable solutions for managing customer support and internal IT issues. The market's expansion is fueled by the rising adoption of cloud-based technologies, the need for improved customer service experiences, and a growing preference for flexible and adaptable software solutions. Businesses of all sizes, particularly small and medium-sized enterprises (SMEs), are drawn to the cost savings associated with open-source software, eliminating licensing fees and fostering greater control over their IT infrastructure. Furthermore, the active and collaborative open-source community ensures continuous improvement and innovation, leading to feature-rich and reliable help desk solutions. This market segment is projected to maintain a healthy Compound Annual Growth Rate (CAGR) in the coming years, driven by the continuous expansion of the digital economy and the increasing complexity of customer service requirements. The market is segmented by deployment type (cloud, on-premises), business size (small, medium, large), and industry vertical. Competition within the open-source help desk software market is intense, with both established players and emerging startups vying for market share. Key players include well-known names like Atlassian, Zendesk, and ServiceNow, along with a robust ecosystem of smaller, specialized vendors. Differentiation is achieved through unique features, integrations with other software platforms, and strong customer support services. Despite the competitive landscape, the market presents significant opportunities for growth, especially for those vendors who can effectively address the evolving needs of businesses and provide seamless, intuitive help desk experiences. The market is anticipated to continue its expansion, benefiting from increased technological advancements, growing demand for integrated customer support solutions, and the ongoing adoption of digital transformation strategies across various industries. Challenges remain, such as ensuring security and data privacy, managing community support effectively, and navigating the complexities of open-source licensing.

Information about Customer Information System (CIS) support tickets. The CIS System Functional Support team (CIS Admin “Help desk”) receive system issues (ex. billing issues, information requests, or system processing questions) affecting internal and external customers via email or phone call and number of tickets resolved same day as reported. Source data and published data updates monthly, however the dataset update job looks every week for the most recent monthly information. For this reason the Max Expected Data Age is 60 days.

Open Source Help Desk Software Market Outlook

The global open source help desk software market size is expected to grow from $2.3 billion in 2023 to $4.8 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 8.5% during the forecast period. The market growth is primarily driven by the increasing adoption of customer-centric strategies and the cost-efficiency of open source solutions compared to proprietary software.

One of the key growth factors driving the open source help desk software market is the rising demand for efficient customer service management tools. As businesses across various industries strive to enhance customer satisfaction and loyalty, the need for robust help desk solutions that can streamline customer support processes has become paramount. Open source help desk software offers businesses the flexibility to customize their solutions as per their unique requirements, which significantly contributes to its growing adoption.

Another significant factor contributing to the market's growth is the lower total cost of ownership associated with open source help desk software. Unlike proprietary solutions, open source software typically involves minimal licensing fees, making it an attractive option for Small and Medium Enterprises (SMEs) and startups operating on tight budgets. Furthermore, the availability of a large community of developers and users ensures continuous improvements and updates, thereby enhancing the software's reliability and performance.

The increasing integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) into open source help desk software is also propelling market growth. These technologies enable businesses to automate repetitive tasks, improve response times, and gain insights from customer interactions, all of which contribute to enhanced operational efficiency. The ability to integrate with other business systems and applications further adds to the appeal of open source help desk software, enabling seamless data flow and improved decision-making.

In the realm of customer service management, Ticketing System Softwares play a pivotal role in enhancing the efficiency and effectiveness of help desk operations. These systems streamline the process of managing customer inquiries by organizing and prioritizing tickets, ensuring that support teams can address issues promptly. The integration of Ticketing System Softwares with open source help desk solutions allows businesses to leverage advanced features such as automated ticket assignment, escalation management, and real-time tracking. This not only improves response times but also enhances customer satisfaction by providing a seamless support experience. As organizations continue to prioritize customer-centric strategies, the demand for robust ticketing systems that can integrate with existing help desk software is expected to rise significantly.

Regionally, North America holds a significant share of the open source help desk software market, driven by the presence of a large number of technology providers and early adopters of advanced customer service tools. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid digital transformation initiatives and the increasing number of SMEs in countries such as India and China.

Deployment Type Analysis

The deployment type segment of the open source help desk software market is divided into On-Premises and Cloud-Based solutions. On-premises deployment involves installing the software on the companyÂ’s own servers, giving them complete control over their data and infrastructure. This deployment model is particularly favored by large enterprises and organizations in highly regulated industries that need to comply with stringent data security and privacy regulations. Despite the higher upfront costs associated with hardware and maintenance, on-premises solutions provide enhanced security and control.

Cloud-based deployment, on the other hand, involves hosting the software on the vendorÂ’s servers and accessing it via the internet. This model offers several advantages, including lower initial costs, scalability, and ease of access from any location. It is especially popular among SMEs that may not have the resources to invest in and manage their own IT infrastructure. The subscription-based pricing model makes it easier for thes

Helpdesk Management Market Outlook

The global helpdesk management market size was estimated at USD 9.2 billion in 2023 and is projected to grow remarkably to USD 16.3 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 6.5% during the forecast period. This growth is driven by increasing demand for efficient customer support solutions and advancements in AI and automation technologies.

One of the primary growth factors for the helpdesk management market is the rising need for efficient and effective customer service operations. In an increasingly competitive business environment, companies are focusing on enhancing customer satisfaction and retention, which necessitates robust helpdesk solutions. The integration of advanced technologies such as AI, machine learning, and natural language processing into helpdesk systems has significantly improved their efficiency, allowing for faster response times and more accurate resolutions. This technological adoption is a major driver of market growth.

Moreover, the proliferation of cloud-based solutions is another critical factor boosting the market. Cloud-based helpdesk management systems offer several advantages over traditional on-premises systems, including lower initial costs, scalability, and accessibility from any location. Small and medium enterprises (SMEs), in particular, are increasingly adopting cloud-based helpdesk solutions due to their cost-effectiveness and ease of implementation. This trend is expected to continue, further propelling market growth in the coming years.

Additionally, the growing emphasis on data security and regulatory compliance is shaping the helpdesk management market. Organizations are increasingly investing in helpdesk solutions that offer robust security features and comply with industry-specific regulations. This is particularly important in sectors such as BFSI and healthcare, where data security is paramount. The demand for secure helpdesk solutions is expected to drive significant market growth as companies strive to protect sensitive customer information and adhere to regulatory requirements.

The infrastructure supporting Help Desk Ticketing System Servers plays a crucial role in the seamless operation of helpdesk management solutions. These servers are the backbone of ticketing systems, enabling the efficient handling of customer inquiries and support requests. As organizations increasingly rely on digital platforms for customer service, the demand for robust and scalable server solutions has grown. Help Desk Ticketing System Servers are designed to manage high volumes of data, ensuring that customer queries are processed swiftly and accurately. This capability is essential for maintaining high levels of customer satisfaction and operational efficiency. Furthermore, advancements in server technology, such as virtualization and cloud integration, have enhanced the flexibility and scalability of these systems, allowing businesses to adapt to changing demands and optimize their helpdesk operations.

From a regional perspective, North America currently holds the largest share of the helpdesk management market, driven by the presence of numerous large enterprises and a high adoption rate of advanced technologies. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by the rapid digital transformation of businesses and the increasing adoption of cloud-based solutions in emerging economies such as China and India. Europe's market growth is supported by stringent data protection regulations and a strong emphasis on customer service excellence.

Component Analysis

The helpdesk management market can be segmented by component into software and services. The software segment covers various types of helpdesk management software, including ticketing systems, customer support software, and IT service management solutions. This segment is expected to dominate the market due to the continuous advancements in software technologies and the increasing adoption of AI-driven solutions. AI-powered software solutions are transforming helpdesk operations by automating routine tasks, providing real-time insights, and improving overall efficiency.

The services segment, on the other hand, includes implementation, training, consulting, and maintenance services. This segment is crucial for the successful deployment and operation of helpdesk management systems

Help Desk Tools Market Outlook

The global help desk tools market size was valued at USD 9.5 billion in 2023 and is projected to reach approximately USD 18.3 billion by 2032, exhibiting a CAGR of 7.5% during the forecast period. The market's growth is driven by the increasing need for efficient customer service solutions across various industries. With organizations recognizing the importance of customer satisfaction and retention, there is a burgeoning demand for robust help desk solutions that can streamline communication, track customer interactions, and offer timely resolutions. The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into help desk systems is a significant growth catalyst, enhancing the capability of these tools to provide automated support, predictive analytics, and improved user experience.

One of the primary growth factors in the help desk tools market is the rapid digital transformation across industries, compelling companies to adopt scalable and efficient customer support solutions. Organizations are increasingly moving towards digital platforms to cater to customer queries, and the deployment of help desk tools has become an indispensable part of this transformation. These tools enable businesses to manage client interactions across multiple channels such as email, chat, social media, and voice, ensuring a seamless and unified customer experience. The rise in mobile technology and the proliferation of smartphones have further accelerated the adoption of mobile-friendly help desk solutions, allowing companies to provide support on-the-go and improving overall customer engagement.

Another significant factor driving the market growth is the increasing demand for cloud-based solutions. With cloud technology offering numerous advantages such as scalability, flexibility, and cost-effectiveness, many organizations are transitioning from traditional on-premises systems to cloud-based help desk solutions. Cloud deployment facilitates remote access to support systems, enabling support staff to assist customers from anywhere, thereby enhancing productivity and reducing response times. Moreover, cloud-based help desk tools offer real-time updates and integrations with other business applications, allowing for a more synchronized approach to customer service. As businesses continue to explore the benefits of cloud technology, the demand for cloud-based help desk tools is expected to grow substantially.

The growing emphasis on personalized customer service is also contributing to the market expansion. Customers today expect more than just generic responses; they seek tailored solutions that address their specific issues and preferences. Help desk tools equipped with AI and data analytics capabilities can analyze customer data to offer personalized responses and anticipate customer needs. This personalized approach not only improves customer satisfaction but also builds loyalty and long-term relationships. As companies strive to differentiate themselves in a competitive marketplace, the adoption of smart help desk tools that can offer personalized support is likely to see an upward trend.

The Help Desk Ticking System is an integral component of modern customer support frameworks, offering a structured approach to managing and resolving customer inquiries. This system allows organizations to efficiently track, prioritize, and address customer issues through a centralized platform. By automating the ticketing process, businesses can ensure that no customer query goes unanswered, thereby enhancing response times and improving overall customer satisfaction. The system's ability to integrate with other business applications further streamlines operations, providing support teams with a comprehensive view of customer interactions. As companies continue to prioritize customer experience, the implementation of a robust Help Desk Ticking System becomes increasingly essential.

Regionally, North America holds the largest share in the help desk tools market, owing to the region's advanced technological infrastructure and the presence of major market players. Businesses in North America have been early adopters of help desk solutions, driven by a strong focus on enhancing customer experience and operational efficiency. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period. The rapid economic development, increasing internet penetration, and the surge in small and medium enterprises (SMEs) in countries like China

The help desk ticketing system market is experiencing robust growth, driven by the increasing need for efficient customer service management and improved operational efficiency across various industries. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, the growing importance of self-service portals enhancing customer satisfaction, and the integration of AI and machine learning to automate tasks and improve response times. Businesses of all sizes, from small startups to large enterprises, are adopting these systems to streamline their support processes, improve first-contact resolution rates, and ultimately, enhance customer experience. The competitive landscape is dynamic, with established players like Zendesk, Salesforce, and Zoho competing alongside emerging innovative solutions. This competition drives innovation and affordability, further accelerating market adoption. We project a conservative Compound Annual Growth Rate (CAGR) of 15% over the forecast period (2025-2033), reflecting a mature but consistently expanding market. While the market enjoys strong growth potential, some challenges remain. Integration complexities with existing enterprise systems can present obstacles for some organizations. Data security and privacy concerns, particularly for cloud-based solutions, also require careful consideration. The ongoing evolution of customer expectations necessitates continuous improvement in system functionality and user experience. Nevertheless, the overall market trajectory remains positive, indicating significant opportunities for vendors and users alike. The increasing demand for omnichannel support, encompassing various communication channels (email, chat, social media), is a particularly strong driver, pushing vendors to deliver integrated and adaptable solutions. The market segmentation is diverse, catering to various industry needs and business sizes, further indicating a robust and expansive future.

Ticketing System Software Market Outlook

The global ticketing system software market size was valued at approximately USD 9 billion in 2023 and is projected to reach around USD 16 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.8% from 2024 to 2032. This impressive growth is driven by the increasing demand for efficient customer relationship management solutions across various industries. Organizations are actively seeking ways to improve customer satisfaction and streamline operations, which is significantly contributing to the adoption of ticketing system software. The market is further propelled by advancements in digital technologies and the growing trend of digital transformation across industries, enhancing the capabilities and functionalities of ticketing systems.

A prominent growth factor for the ticketing system software market is the rising need for automated and systematic customer support solutions. As businesses expand and customer interactions increase, managing inquiries and issues manually becomes unmanageable and error-prone. Ticketing systems offer a structured approach, enabling organizations to track, manage, and resolve customer queries efficiently. This results in improved customer service, a critical factor for customer retention and brand loyalty. Additionally, the integration of artificial intelligence and machine learning into ticketing systems is proving to be transformative. These technologies help in predicting customer behavior, automating responses, and offering personalized solutions, thereby enhancing the user experience and driving market growth.

Another significant driver is the growing emphasis on data-driven decision-making. Ticketing systems not only facilitate issue tracking but also generate valuable data insights. Organizations can leverage these insights to identify trends, measure performance, and make informed business decisions. With enhanced reporting and analytics features, businesses are better equipped to improve service delivery and operational efficiency. Furthermore, the increasing adoption of cloud-based solutions is providing a substantial boost to the market. Cloud deployment offers scalability, flexibility, and cost-effectiveness, making it an attractive option for businesses of all sizes. The ability to access ticketing systems remotely also supports the growing trend of remote and hybrid working models.

In terms of regional outlook, North America continues to dominate the ticketing system software market, supported by the presence of key industry players and advanced technological infrastructure. The region's mature IT landscape and high adoption rate of innovative solutions contribute significantly to the market's expansion. Meanwhile, Asia Pacific is anticipated to witness the fastest growth during the forecast period. This is attributed to the rapid digital transformation across emerging economies like India and China, increasing investments in IT infrastructure, and a growing focus on enhancing customer service. Europe also presents significant opportunities for market growth, driven by stringent regulations around data protection and customer service standards.

Citizen Request Management Software is becoming increasingly vital in the landscape of ticketing systems, especially for public sector organizations. This software enables government entities to efficiently handle and respond to citizen inquiries and service requests. By streamlining communication between citizens and government agencies, it enhances transparency and accountability. The integration of such software with existing ticketing systems allows for a more holistic approach to managing public services, ensuring that citizen concerns are addressed promptly and effectively. As digital transformation continues to reshape public sector operations, the demand for robust Citizen Request Management Software is expected to rise, further driving the growth of the ticketing system software market.

Component Analysis

The ticketing system software market is segmented into software and services, each playing a crucial role in the overall ecosystem. The software segment comprises various types of ticketing systems, including helpdesk solutions, service desk software, and incident management tools. These systems are increasingly incorporating advanced features such as automation, AI-driven analytics, and multi-channel support to enhance their effectiveness and user experience. As businesses strive to offer seamless custome

Problem statement

For a financial company, customer complaints carry a lot of importance, as they are often an indicator of the shortcomings in their products and services. If these complaints are resolved efficiently in time, they can bring down customer dissatisfaction to a minimum and retain them with stronger loyalty. This also gives them an idea of how to continuously improve their services to attract more customers. These customer complaints are unstructured text data; so, traditionally, companies need to allocate the task of evaluating and assigning each ticket to the relevant department to multiple support employees. This becomes tedious as the company grows and has a large customer base. In this case study, you will be working as an NLP engineer for a financial company that wants to automate its customer support tickets system. As a financial company, the firm has many products and services such as credit cards, banking and mortgages/loans.

Business goal

You need to build a model that is able to classify customer complaints based on the products/services. By doing so, you can segregate these tickets into their relevant categories and, therefore, help in the quick resolution of the issue. With the help of topic modelling, you will detect patterns and recurring words present in each ticket. This can be then used to understand the important features for each cluster of categories. By segregating the clusters, you will be able to identify the topics of the customer complaints. You will be doing topic modelling on the .json data provided by the company. Since this data is not labelled, you need to apply techniques to analyze patterns and classify tickets into the following five clusters based on their products/services:

1. Credit card / Prepaid card

2. Bank account services

3. Theft/Dispute reporting

4. Mortgages/loans

5. Others

With the help of topic modelling, you will be able to map each ticket onto its respective department/category. You can then use this data to train any supervised model such as logistic regression, decision tree or random forest. Using this trained model, you can classify any new customer complaint support ticket into its relevant department.

Dataset

The data set given to you is in the .json format and contains 78,313 customer complaints with 22 features.

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Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants

  Overview

This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset.

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The Help Desk & Ticketing Software market has emerged as a crucial element for businesses aiming to enhance customer service and streamline internal operations. This software enables organizations to efficiently manage user requests and incidents through a systematic ticketing process, ensuring that support issues a

Customer Support Ticket Sentiment Analysis (Synthetic Data)

  Overview

This dataset contains synthetically generated customer support tickets with corresponding sentiment labels. It is designed to simulate real-world customer interactions across various industries, providing a balanced distribution of sentiment classes. This dataset is ideal for training and testing machine learning models for sentiment analysis in customer support scenarios.

  Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/BharathBOLT/CustomerTicketSyntheticData.

In July 2019, the Metropolitan Police Department (MPD) implemented new data collection methods that enabled officers to collect more comprehensive information about each police stop in an aggregated manner. More specifically, these changes have allowed for more detailed data collection on stops, protective pat down (PPDs), searches, and arrests. (For a complete list of terms, see the glossary on page 2.) These changes support data collection requirements in the Neighborhood Engagement Achieves Results Amendment Act of 2016 (NEAR Act).The accompanying data cover all MPD stops including vehicle, pedestrian, bicycle, and harbor stops for the period from July 22, 2019 to December 31, 2022. A stop may involve a ticket (actual or warning), investigatory stop, protective pat down, search, or arrest.If the final outcome of a stop results in an actual or warning ticket, the ticket serves as the official documentation for the stop. The information provided in the ticket include the subject’s name, race, gender, reason for the stop, and duration. All stops resulting in additional law enforcement actions (e.g., pat down, search, or arrest) are documented in MPD’s Record Management System (RMS). This dataset includes records pulled from both the ticket (District of Columbia Department of Motor Vehicles [DMV]) and RMS sources. Data variables not applicable to a particular stop are indicated as “NULL.” For example, if the stop type (“stop_type” field) is a “ticket stop,” then the fields: “stop_reason_nonticket” and “stop_reason_harbor” will be “NULL.” Each row in the data represents an individual stop of a single person, and that row reveals any and all recorded outcomes of that stop (including information about any actual or warning tickets issued, searches conducted, arrests made, etc.). A single traffic stop may generate multiple tickets, including actual, warning, and/or voided tickets. Additionally, an individual who is stopped and receives a traffic ticket may also be stopped for investigatory purposes, patted down, searched, and/or arrested. If any of these situations occur, the “stop_type” field would be labeled “Ticket and Non-Ticket Stop.” If an individual is searched, MPD differentiates between person and property searches. The “stop_location_block” field represents the block-level location of the stop and/or a street name. The age of the person being stopped is calculated based on the time between the person’s date ofbirth and the date of the stop.There are certain locations that have a high prevalence of non-ticket stops. These can be attributed to some centralized processing locations. Additionally, there is a time lag for data on some ticket stops as roughly 20 percent of tickets are handwritten. In these instances, the handwritten traffic tickets are delivered by MPD to the DMV, and then entered into data systems by DMV contractors. On August 1, 2021, MPD transitioned to a new version of its current records management system, Mark43 RMS.Due to this transition, the data collection and structures for the period between August 1, 2021 – December 31, 2021 were changed. The list below provides explanatory notes to consider when using this dataset.New fields for data collection resulted in an increase of outliers in stop duration (affecting 0.98% of stops). In order to mitigate the disruption of outliers on any analysis, these values have been set to null as consistent with past practices.Due to changes to the data structure that occurred after August 1, 2021, six attributes pertaining to reasons for searches of property and person are only available for the first seven months of 2021. These attributes are: Individual’s Actions, Information Obtained from Law Enforcement Sources, Information Obtained from Witnesses or Informants, Characteristics of an Armed Individual, Nature of the Alleged Crime, Prior Knowledge. These data structure changes have been updated to include these attributes going forward (as of April 23, 2022).Out of the four attributes for types of property search, warrant property search is only available for the first seven months of 2021. Data structure changes were made to include this type of property search in future datasets.The following chart shows how certain property search fields were aligned prior to and after August 1, 2021. A glossary is also provided following the chart. As of August 2, 2022, these fields have reverted to the original alignment.https://mpdc.dc.gov/sites/default/files/dc/sites/mpdc/publication/attachments/Explanatory%20Notes%202021%20Data.pdfIn October 2022 several fields were added to the dataset to provide additional clarity differentiating NOIs issued to bicycles (including Personal Mobility Devices, aka stand-on scooters), pedestrians, and vehicles as well as stops related specifically to MPD’s Harbor Patrol Unit and stops of an investigative nature where a police report was written. Please refer to the Data Dictionary for field definitions.In March 2023 an indicator was added to the data which reflects stops related to traffic enforcement and/or traffic violations. This indicator will be 1 if a stop originated as a traffic stop (including both stops where only a ticket was issued as well as stops that ultimately resulted in police action such as a search or arrest), involved an arrest for a traffic violation, and/or if the reason for the stop was Response to Crash, Observed Moving Violation, Observed Equipment Violation, or Traffic Violation.Between November 2021 and February 2022 several fields pertaining to items seized during searches of a person were not available for officers to use, leading to the data showing that no objects were seized pursuant to person searches during this time period. Finally, MPD is conducting on-going data audits on all data for thorough and complete information. For more information regarding police stops, please see: https://mpdc.dc.gov/stopdataFigures are subject to change due to delayed reporting, on-going data quality audits, and data improvement processes.