Dataset

This dataset was created by Karan Shingde

Contents

Despite exploratory data analysis (EDA) is a powerful approach for uncovering insights from unfamiliar datasets, existing EDA tools face challenges in assisting users to assess the progress of exploration and synthesize coherent insights from isolated findings. To address these challenges, we present FactExplorer, a novel fact-based EDA system that shifts the analysis focus from raw data to data facts. FactExplorer employs a hybrid logical-visual representation, providing users with a comprehensive overview of all potential facts at the outset of their exploration. Moreover, FactExplorer introduces fact-mining techniques, including topic-based drill-down and transition path search capabilities. These features facilitate in-depth analysis of facts and enhance the understanding of interconnections between specific facts. Finally, we present a usage scenario and conduct a user study to assess the effectiveness of FactExplorer. The results indicate that FactExplorer facilitates the understanding of isolated findings and enables users to steer a thorough and effective EDA.

Insight As A Service Market Size And Forecast

Insight As A Service Market size was valued at USD 4.10 Billion in 2024 and is projected to reach USD 21.60 Billion By 2032, growing at a CAGR of 31% during the forecast period 2026 to 2032.

Global Insight As A Service Market Drivers

The market drivers for the Insight As A Service Market can be influenced by various factors. These may include:

Data Explosion: The amount of data generated is growing exponentially as a result of the widespread use of digital technologies. To obtain a competitive advantage, organizations are looking for methods to glean insights that are significant from this data. Cost-effectiveness: By utilizing IaaS, businesses may obtain sophisticated analytics and insights without making significant infrastructure investments or recruiting expert staff. Businesses seeking to streamline their processes may find this economical strategy appealing. Scalability: IaaS provides scalable solutions that are able to change to meet the ever-changing needs of enterprises. The flexibility to scale resources up or down as needed is offered by IaaS platforms, which can handle small datasets or large data analytics. Real-time Solutions: Real-time insights are essential for making well-informed decisions in the fast-paced corporate world of today. With the help of IaaS solutions, businesses may get real-time information and react quickly to trends and changes in the market. Predictive Analytics: IaaS-powered predictive analytics assists companies in predicting future market dynamics, consumer behavior, and trends. Organizations can proactively reduce risks and anticipate opportunities by utilizing predictive insights. Customized Consumer Experiences: IaaS makes it easier for organizations to analyze enormous volumes of consumer data, which leads to the creation of customized experiences. Organizations can cultivate client loyalty and happiness by customizing their products and services to match individual demands by comprehending customer preferences and behavior. AI and ML: The popularity of Infrastructure as a Service (IaaS) is being propelled by developments in AI and ML technologies. These technologies improve an organization's ability to analyze data, allowing them to find intricate patterns and useful information from a variety of datasets. Regulatory Compliance: Organizations are investing in IaaS solutions that guarantee compliance with industry norms and regulations as a result of growing regulatory obligations and data privacy concerns. To protect sensitive data, these technologies provide strong security features and data governance structures. Industry-specific Solutions: IaaS providers are creating solutions specifically suited to the demands of different industries, including manufacturing, healthcare, finance, and retail. These niche products handle certain issues and provide focused insights to promote company expansion.

Insight Engines Software Market Outlook

The global Insight Engines Software market size was valued at approximately USD 2.3 billion in 2023 and is projected to reach around USD 9.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.5% during the forecast period. This robust growth is driven by the increasing demand for advanced data analytics tools that empower businesses to extract actionable insights from vast volumes of data. As enterprises continue to digitize their operations, there is a growing need for solutions that can efficiently navigate complex data environments and provide real-time insights, enhancing decision-making capabilities and business performance.

A significant growth factor for the Insight Engines Software market is the proliferation of big data and the need for enhanced data analytics capabilities. Organizations are generating unprecedented amounts of data from a variety of sources, including IoT devices, social media platforms, and enterprise applications. This data deluge has created a critical need for technologies that can help businesses quickly sift through vast datasets to find relevant information. Insight engines leverage machine learning, natural language processing, and AI to transform raw data into structured, meaningful insights. This capability not only improves operational efficiencies but also supports strategic initiatives by providing leaders with the information they need to make informed decisions.

Another key driver of the market is the rising adoption of AI and machine learning technologies across various sectors. Insight engines are embedded with these advanced technologies to help organizations automate the search and discovery process, making it easier to find relevant data without manual intervention. This automation is particularly beneficial in industries such as healthcare and BFSI, where timely access to accurate information is crucial. By reducing the time spent on data retrieval and enabling faster access to insights, these engines are revolutionizing how businesses operate and compete in the digital age.

Moreover, the increasing focus on customer experience and personalization is fueling the demand for insight engines. Businesses across all sectors are looking to gain a deeper understanding of their customers to tailor products, services, and communications to individual preferences. Insight engines provide companies with the ability to analyze customer behavior, segment audiences, and predict future trends, which are essential for crafting personalized experiences. In retail, for example, insight engines help businesses predict purchasing behaviors and optimize inventory levels, thereby improving customer satisfaction and profitability.

Enterprise Search Software plays a crucial role in the evolving landscape of insight engines, offering businesses the ability to efficiently locate and retrieve information across vast data repositories. This software is designed to enhance organizational productivity by enabling employees to access relevant data quickly, thereby reducing the time spent on manual searches. As the volume of enterprise data continues to grow, the integration of Enterprise Search Software with insight engines is becoming increasingly important. This combination not only improves data accessibility but also supports the development of more comprehensive analytics solutions, allowing businesses to gain deeper insights into their operations and make informed decisions.

From a regional perspective, North America currently leads the Insight Engines Software market, attributed to its advanced IT infrastructure and the presence of key market players. The region's focus on technological innovation and early adoption of digital solutions has provided a conducive environment for the growth of insight engines. Additionally, Europe is witnessing significant growth, driven by stringent regulatory requirements and a strong emphasis on data privacy, encouraging organizations to adopt sophisticated data management solutions. Meanwhile, the Asia Pacific region is expected to register the highest CAGR due to rapid digital transformation and increasing investments in AI and machine learning technologies across sectors.

Component Analysis

The Insight Engines Software market is segmented by components into software and services. The software segment is expected to dominate the market during the forecast period, driven by the increasing adoption of AI-based sol

Find a great excuse to reach out to prospects. Leadsbrew enables B2B sellers to track opportunities in Inc 5000 companies with purchasing power. We source news, social media updates and generate insights along with other data points such as company demographics, technographic, and decision-maker data.

Leadsbrew can help a salesperson get in front of her prospect at the right time, reduce the effort and frustration of prospecting, and make finding the right reason to reach out to prospects fun and rewarding. Get rich information on your prospects and use the insights to build successful, long-standing relationships.

LEADSBREW VS STATIC DATA PROVIDERS

Static data providers only provide one-time data. They fail to track the constant changes and opportunities in these fast-growing companies.

A few use cases of Leadsbrew Inc 5000 data:

New Product/Service Announcement: By rolling out a new product or service, a company is venturing into uncharted territory. And uncharted territory calls for different types of support -- and potentially new vendors.

Expansion: usually happens as the result of rapid growth and with the aim of better access to the talent pool, customers, etc. This could result in the need for equipment, supplies, furniture, new hires, and so on.

Merger/Acquisition: Merger and acquisition can bring in opportunities, including the re-evaluation of existing suppliers.

Entrance into New Markets: Appealing to a new target segment requires newly found expertise. High-performing businesses need to have an ecosystem of channel relationships, resellers, and partners to help them expand effectively.

New funding round: A clear signal that they likely have a greater amount of revenue coming in to spend on products and/or services.

Note: We are not affiliated with Inc.com and only use publically available real-time information for generating insights.

The Portable Direction Finding System (PDFS) market has emerged as a critical segment within the broader landscape of electronic and communication technologies, playing an integral role in various industries, including defense, telecommunications, and emergency response. These systems are designed to detect and dete

Success.ai’s B2B Intent Data – Know Your Customer & Accelerate Growth

Success.ai’s B2B intent data offers businesses the power to stay ahead of the competition by tracking real-time purchase intent signals from companies actively searching for products and services like yours. By leveraging behavioral insights from trusted and ethically sourced partners, Success.ai provides businesses with the information needed to prioritize high-value leads, engage the right prospects, and ultimately, accelerate sales growth.

Intent data helps you understand where potential customers are in their buying journey, based on their interactions with online content, search patterns, and behaviors. This actionable insight ensures your outreach efforts are timely and relevant. With Success.ai’s B2B intent database, you no longer waste time on cold leads but instead focus on prospects who are in-market and ready to convert.

Unlock Targeted Outreach for Maximum Impact

Success.ai’s purchase intent data allows you to create hyper-personalized campaigns that are tailored to the exact interests of your prospects. By tracking their online behaviors, we help you discover which companies are searching for solutions like yours. With this b2b marketing data, you can refine your strategies, engage prospects at the perfect moment, and significantly boost your chances of conversion.

Whether you're looking to generate b2b email data lists for targeted marketing campaigns, identify purchase-ready companies in emerging markets, or refine your b2b contact data, Success.ai’s B2B intent data ensures that every interaction with your leads is meaningful and results-driven.

Key Benefits:

Real-Time Intent Signals: Stay ahead of the curve with continuously updated intent data that tracks buyer behaviors across the web. Identify which companies are actively searching for your products and services. Actionable Insights: Our B2B intent database provides detailed insights into which companies are researching your solutions, enabling you to create hyper-personalized outreach strategies. Ethically Sourced & Compliant: We work with trusted partners and ensure all intent data is collected ethically and in compliance with global privacy regulations. Fill Your Pipeline with High-Value Prospects: With Success.ai’s purchase intent data, you gain access to companies that are ready to buy, helping you fill your pipeline with leads that are primed for conversion. Tailored Solutions for Sales, Marketing, and Beyond

Success.ai’s B2B intent data is tailored to fit various business functions. Here’s how different teams can benefit:

Sales Prospecting & Lead Generation: Prioritize high-potential leads by focusing on companies actively searching for your solutions. Success.ai provides the actionable data needed to build accurate B2B email lists for direct sales outreach.

Account-Based Marketing (ABM): Refine your ABM strategy by identifying key accounts that are showing interest in specific products or services. With purchase intent data, you can tailor your marketing campaigns to align perfectly with each target's interests.

Recruitment and Talent Sourcing: Identify companies that are actively expanding or seeking specific technologies, enabling your team to target talent acquisition efforts more effectively.

Investment Research & Due Diligence: Use intent signals to identify companies on the rise, whether they are exploring new technologies or undergoing significant growth, providing you with a clearer picture of investment opportunities.

Competitor Intelligence: Keep an eye on the behavior of key competitors by tracking their employee movements, expansion into new markets, and technological adoptions.

Real-Time Purchase Intent Signals to Stay Ahead of Your Competition

Success.ai’s B2B intent data is updated continuously, giving you real-time insights into your prospects’ online behaviors. By focusing on the most relevant intent signals, you can engage with potential buyers at the moment they are most likely to make purchasing decisions. This level of precision is invaluable for businesses aiming to improve their B2B marketing data strategies and increase conversion rates.

Why Choose Success.ai?

What sets Success.ai’s B2B intent data apart is our focus on delivering actionable insights through a fully managed, white-glove service. Instead of navigating complex platforms, simply tell us your intent data needs, and we’ll deliver it in your preferred format—seamlessly and without hassle.

• Best Price Guarantee: We offer unmatched pricing for B2B intent data and will beat any competitor.
• Real-Time Intent Signals: Access continuously updated purchase intent data, ensuring you always engage leads at the right moment.
• Ethically Sourced & Compliant: Our data is collected responsibly and is compliant with global privacy laws.
• Dedicated Service: Let us handle your B2B intent dataset needs—no complicated platforms, ...

Effective communication of radiation exposure data is essential for improving safety management practices for radiological workers. However, traditional tabular formats used in reporting radiation exposure data often fail to convey critical patterns and trends, making it difficult for non-experts to interpret and act on the information. This study evaluates the application of data visualization techniques, including radar charts, box plots, sparklines, and Chernoff faces, to enhance the accessibility and comprehension of radiation exposure data. Using datasets from the “2022 Annual Report on Individual Exposure Doses of Radiological Workers” published by the KDCA, this study demonstrates how visualization can effectively highlight disparities across professions, demographic groups, and geographic regions. The findings underscore the significant potential of visualization methods in simplifying complex datasets, enabling stakeholders to make more informed decisions. Nonetheless, the study has limitations, including its reliance on pre-existing public datasets and a lack of real-time or granular data. Future research should focus on collecting primary data to explore causal relationships in radiation exposure trends and on applying advanced statistical and machine learning techniques to uncover deeper insights. By integrating robust visualization methods, this study aims to bridge the gap between raw data and actionable knowledge, ultimately contributing to safer occupational environments for radiological workers.

The Stud Edge Finding Tool market is witnessing a significant transformation as industries increasingly prioritize precision and efficiency in construction and renovation projects. These innovative tools, designed to accurately locate wooden and metal studs behind walls, are becoming indispensable for contractors, e

Group mean on contrast Reliving memories compared to Reading memories for the people with borderline personality disorder (BPD)

Collection description

This dataset contains data on a task in which participants relive autobiographical memories (RAM task) collected during the research project titled: “Social Feedback and Emotion Regulation in Borderline Personality Disorder: An fMRI study”. The goal of this substudy was to elucidate the mechanisms underlying positive memory reliving with emphasis on memory vividness and areas relevant to autonoetic consciousness, and how this may benefit mood and state self-esteem for people with Borderline Personality Disorder. Participants relived four neutral and four positive memories in an MRI scanner while rating mood and vividness.

Subject species

homo sapiens

Modality

fMRI-BOLD

Analysis level

group

Cognitive paradigm (task)

autobiographical memory task

Map type

T

Empower Your Business With Professional Data Licensing Services

Discover a 360-Degree View of Worldwide Solution Buyers and Their Needs Leverage over 70 insights that will help you make better decisions to manage your sales pipeline, target key accounts with customized messaging, and focus your sales and marketing efforts:

Here are some of the types of Insights, our data licensing services can provide are:

Technology Insights: Discover companies’ technology preferences, including their tech stack for essential investments such as CRM systems, marketing and sales automation, email security and hosting, data analytics, and cloud security and providers.

Departmental Roles and Openings: Access real-time data on the number of roles and job openings across various departments, including IT, Development, Security, Marketing, Sales, and Customer Success. This information helps you gauge the company’s growth trajectory and possible needs.

Funding Insights: Keep updated of the latest funding, dates, types, and lead investors, providing you with a clear understanding of a company’s potential for growth investments.

Mobile Application Insights: Find out if the company has a mobile app or web app, enabling you to tailor your pitch effectively.

Website traffic and advertising spend metrics: Customers can leverage website traffic and advertising data to gain insights into competitor performance, allowing them to refine their marketing strategies and optimize ad spending.

Access unlimited data and improve conversation by 3X

• Leverage the data for your Account-Based Marketing (ABM) strategy

• Leverage ICP (industry, company size, location etc) to identify high- potential Accounts.

• Utilize GTM strategies to deliver personalized marketing experiences through
  Multi-channel outreach (email, Cell, social media) that resonate with the target audience.

Who can leverage our Data:

B2B marketing Teams- Increase marketing leads and enhance conversions.

B2B sales teams- Build a stronger pipeline and increase your deal wins.

Talent sourcing/Staffing companies- Leverage our data to identify and engage top talent, streamlining your recruitment process and finding the best candidates faster.

Research companies/Investors- Insights into the financial investments received by a company, including funding rounds, amounts, and investor details.

Technology companies: Leverage our Technographic data to reveal the technology stack and tools used by companies, helping tailor marketing and sales efforts.

Data Source:

The Database, sourced through multiple sources and validated using proprietary methods on an ongoing basis, is highly customizable. It contains parameters such as employee size, job title, domain, industry, Technography, Ad spends, Funding data, and more, which can be tailored to create segments that perfectly align with your targeting needs. That is exactly why our Database is perfect for licensing!

FAQs

1. Can licensed data be resold or redistributed? Answer: No, The customer shall not, directly or indirectly, sell, distribute, license, or otherwise make available the licensed data to any third party that intends to resell, sublicense, or redistribute the data. The Customer must take reasonable steps to ensure that any recipient of the licensed data is using it for internal purposes only and not for resale or redistribution. Any breach of this provision shall be considered a material breach of this Order Form and may result in the immediate termination of the Customer's rights under this agreement, as well as any applicable remedies available under law.

2. What is the duration of the data license and usage terms? Answer: The data license is valid for 12 months (1 year) for unlimited usage. Customers also have the option to license the data for multiple years. At the end of the first year, Customers can renew the license to maintain continued access.

3. What happens if the customer misuses the data? Answer: The data can be used without limits for a period of one year or multiple years (depending on the contract tenure); however, Thomson Data actively monitors its usage. If any unusual activity is detected, Thomson Data reserves the right to terminate the account.

4. How frequently is the data updated? Answer: The data is updated on a quarterly basis and fresh records added on a monthly basis

5. What is the accuracy rate of the data? Answer: Customers can expect 90% accuracy for all data points, with email accuracy ranging between 85% and 90%. Cell phone data accuracy is around 80%.

6. What types of information are included in the data? Answer: Thomson Data provides over 70+ data points, including contact details (name, job title, LinkedIn profile, cell number, email address, education, certifications, work experience, etc.), company information, department/team sizes, SIC and NAICS codes, industry classification, technographic detai...

Analysis of ‘GTW.G.2_Number of findings of fraud, waste, and abuse by employees, officials, and contractors’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/575d066b-4c82-4cfc-b109-6d10f3bb451d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Number of findings contained in City Auditor's Integrity Unit Reports. Data that supports the SD23 measure GTW.G.2. The data are manually counted based on investigative reports issued by the Office of the City Auditor. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/City-Auditor-s-Integrity-Unit-Data-Story/ximn-xnhz

--- Original source retains full ownership of the source dataset ---

Dataset Description:

The myusabank.csv dataset contains daily financial data for a fictional bank (MyUSA Bank) over a two-year period. It includes various key financial metrics such as interest income, interest expense, average earning assets, net income, total assets, shareholder equity, operating expenses, operating income, market share, and stock price. The data is structured to simulate realistic scenarios in the banking sector, including outliers, duplicates, and missing values for educational purposes.

Potential Student Tasks:

1. Data Cleaning and Preprocessing:

   • Handle missing values, duplicates, and outliers to ensure data integrity.
   • Normalize or scale data as needed for analysis.

2. Exploratory Data Analysis (EDA):

   • Visualize trends and distributions of financial metrics over time.
   • Identify correlations between different financial indicators.

3. Calculating Key Performance Indicators (KPIs):

   • Compute metrics such as Net Interest Margin (NIM), Return on Assets (ROA), Return on Equity (ROE), and Cost-to-Income Ratio using calculated fields.
   • Analyze the financial health and performance of MyUSA Bank based on these KPIs.

4. Building Tableau Dashboards:

   • Design interactive dashboards to present insights and trends.
   • Include summary cards, bar charts, line charts, and pie charts to visualize financial performance metrics.

5. Forecasting and Predictive Modeling:

   • Use historical data to forecast future financial performance.
   • Apply regression or time series analysis to predict market share or stock price movements.

6. Business Insights and Reporting:

   • Interpret findings to derive actionable insights for bank management.
   • Prepare reports or presentations summarizing key findings and recommendations.

Educational Goals:

The dataset aims to provide hands-on experience in data preprocessing, analysis, and visualization within the context of banking and finance. It encourages students to apply data science techniques to real-world financial data, enhancing their skills in data-driven decision-making and strategic analysis.

The AI Face Detection market has rapidly emerged as a transformative force across various industries, significantly enhancing security measures, user experiences, and data analytics. AI face detection technology leverages advanced algorithms to identify and verify human faces from digital images and videos, finding

This paper introduces and provides the main insights of the research done in the Country Case Studies, Desk Reviews and Thematic Reports of the WOSCAP project. It is a compilation of the main research results of the project “Whole-of-Society Conflict Prevention and Peacebuilding”, which aims to enhance the EU’s peacebuilding and conflict prevention capabilities. They are written by various experts involved in the project consortium. The purpose of the WOSCAP Working Paper series is to highlight key topics and concepts relevant to the EU’s peacebuilding and conflict prevention agenda.

The Email Search Engine Tool market is experiencing a significant transformation, driven by the increasing need for businesses to optimize their communication strategies and harness valuable data from their email interactions. These tools are designed to streamline the process of finding relevant email addresses, wh

The Interview Scheduling Software market has emerged as a vital tool in optimizing the recruitment process for businesses across various industries. This innovative software streamlines the scheduling of interviews, eliminating the cumbersome back-and-forth communication typically involved in finding suitable times

This was one single topic among a couple from the January 2019 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/c/atr/6kfhUL1kNKD3G78FlYhf9M/675flbZ6at0EJc6v5vpgHz

Open from January 8 - 15, 2019.

At the time the survey was launched survey invitations were sent to 9,874 Insight Community Members. 2,504 members completed the survey which represents a completion rate of 25%. A total of 2,514 respondents completed the survey: 2,504 Insight Community Members and 4 from the call to action button on our webpage and 6 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

The indicators and analysis presented in this bulletin are based on responses from the new voluntary fortnightly business survey, which captures business' views on impact on turnover, workforce prices, trade and business resilience

The Single Sided Coated Paper market has emerged as a vital component within the global paper industry, finding extensive applications in sectors such as printing, packaging, and advertising. This type of paper, known for its smooth and glossy finish on one side, enhances print quality and visual appeal, making it i