Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

📹Project Video available on YouTube - https://youtu.be/WmJYHz_qn5s

Realistic Synthetic - AI Financial & Market Data for Gemini(Google), ChatGPT(OpenAI), Llama(Meta)

This dataset provides a synthetic, daily record of financial market activities related to companies involved in Artificial Intelligence (AI). There are key financial metrics and events that could influence a company's stock performance like launch of Llama by Meta, launch of GPT by OpenAI, launch of Gemini by Google etc. Here, we have the data about how much amount the companies are spending on R & D of their AI's Products & Services, and how much revenue these companies are generating. The data is from January 1, 2015, to December 31, 2024, and includes information for various companies : OpenAI, Google and Meta.

This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.

This analyse will be helpful for those working in Finance or Share Market domain.

From this dataset, we extract various insights using Python in our Project.

1) How much amount the companies spent on R & D ?

2) Revenue Earned by the companies

3) Date-wise Impact on the Stock

4) Events when Maximum Stock Impact was observed

5) AI Revenue Growth of the companies

6) Correlation between the columns

7) Expenditure vs Revenue year-by-year

8) Event Impact Analysis

9) Change in the index wrt Year & Company

These are the main Features/Columns available in the dataset :

1) Date: This column indicates the specific calendar day for which the financial and AI-related data is recorded. It allows for time-series analysis of the trends and impacts.

2) Company: This column specifies the name of the company to which the data in that particular row belongs. Examples include "OpenAI" and "Meta".

3) R&D_Spending_USD_Mn: This column represents the Research and Development (R&D) spending of the company, measured in Millions of USD. It serves as an indicator of a company's investment in innovation and future growth, particularly in the AI sector.

4) AI_Revenue_USD_Mn: This column denotes the revenue generated specifically from AI-related products or services, also measured in Millions of USD. This metric highlights the direct financial success derived from AI initiatives.

5) AI_Revenue_Growth_%: This column shows the percentage growth of AI-related revenue for the company on a daily basis. It indicates the pace at which a company's AI business is expanding or contracting.

6) Event: This column captures any significant events or announcements made by the company that could potentially influence its financial performance or market perception. Examples include "Cloud AI launch," "AI partnership deal," "AI ethics policy update," and "AI speech recognition release." These events are crucial for understanding sudden shifts in stock impact.

7) Stock_Impact_%: This column quantifies the percentage change in the company's stock price on a given day, likely in response to the recorded financial metrics or events. It serves as a direct measure of market reaction.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Techsalerator's News Events Data for Georgia: A Comprehensive Overview

Techsalerator's News Events Data for Georgia offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Georgia, drawing from a wide range of media sources, including news outlets, online publications, and social platforms. It provides essential insights for those tracking trends, analyzing public sentiment, or monitoring developments in specific industries.

Key Data Fields
Event Date: Records the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to changes in the market.

Event Title: A brief headline that describes the event, allowing users to quickly categorize and assess the content based on relevance to their interests.

Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the reach and influence of the event.

Location: Provides geographic information, indicating where the event took place within Georgia. This is particularly valuable for regional analysis or localized marketing efforts.

Event Description: A detailed summary outlining key developments, participants, and potential impact. Businesses and researchers use this to understand the context and implications of the event.

Top 5 News Categories in Georgia
Politics: News coverage on government decisions, political movements, elections, and policy changes shaping the national landscape.

Economy: Focuses on Georgia's economic indicators, trade, corporate activities, and financial developments that influence the business and finance sectors.

Social Issues: News covering societal concerns such as public health, education, and protests that drive public discourse.

Sports: Highlights major sports events, particularly in rugby, football, and wrestling, which are widely followed across the country.

Technology and Innovation: Reports on tech advancements, startups, and innovations in Georgia's growing tech ecosystem, including contributions from local and international companies.

Top 5 News Sources in Georgia
Agenda.ge: A leading news portal offering updates on politics, economy, and social issues.

Interpressnews: A prominent online news platform providing real-time updates on breaking news and major developments across Georgia.

Georgia Today: An English-language publication focused on Georgia’s political, economic, and business landscape.

Civil.ge: A well-respected source for in-depth analysis of political and social issues in Georgia.

Radio Tavisupleba: A major news network that broadcasts updates on current affairs, culture, and live events throughout the country.

Accessing Techsalerator’s News Events Data for Georgia
To access Techsalerator’s News Events Data for Georgia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields
Event Date
Event Title
Source
Location
Event Description
Event Category (Politics, Economy, Sports, etc.)
Participants (if applicable)
Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is a vital tool for tracking significant events in Georgia. It supports informed decision-making for business strategies, market analysis, or academic research by providing a clear picture of the country's news landscape.

This dataset contains information on business events in Brisbane. It includes locations, dates and times.

Brisbane City Council's events data containing dates, costs, booking requirements, venue and location for upcoming business events in Brisbane.

The dataset was created using data from an external service called Trumba. The data is a transformed extract created using the Trumba Calendar API XML feed, that is limited to the next 1,000 events. The transformed extract is converted to a CSV file and uploaded into this dataset daily.

To access and view the data using the Source API (Trumba), use the information below and your preferred link in the Data and Resources section. The Source API is available for this dataset in:

Trumba Calendar - API - XML feed is limited to the next 1,000 events

Trumba Calendar - API - RSS feed is limited to the next 1,000 events

Trumba Calendar - API - CSV feed is limited to the next 2,000 events

Trumba Calendar - API - JSON feed is limited to the next 2,000 events.

The Data and resources section of this dataset contains further information for this dataset.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

This dataset contains information on business events in Brisbane. It includes locations, dates and times.

Brisbane City Council's events data containing dates, costs, booking requirements, venue and location for upcoming business events in Brisbane.

The dataset was created using data from an external service called Trumba. The data is a transformed extract created using the Trumba Calendar API XML feed, that is limited to the next 1,000 events. The transformed extract is converted to a CSV file and uploaded into this dataset daily.

To access and view the data using the Source API (Trumba), use the information below and your preferred link in the Data and Resources section. The Source API is available for this dataset in:

• Trumba Calendar - API - XML feed is limited to the next 1,000 events
• Trumba Calendar - API - RSS feed is limited to the next 1,000 events
• Trumba Calendar - API - CSV feed is limited to the next 2,000 events
• Trumba Calendar - API - JSON feed is limited to the next 2,000 events.

The Data and resources section of this dataset contains further information for this dataset.

Success.ai’s Event Data for Event Planning & Hospitality Professionals Worldwide delivers a comprehensive dataset tailored to help businesses connect with professionals in the global event planning and hospitality industries. Covering event organizers, venue managers, hospitality executives, and event service providers, this dataset provides verified contact details, business insights, and professional histories.

With access to over 700 million verified global profiles, Success.ai ensures your outreach, marketing, and partnership strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution enables you to thrive in the competitive event and hospitality sectors.

Why Choose Success.ai’s Event Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of event planners, hospitality managers, and venue executives.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and improving communication effectiveness.

2. Comprehensive Global Coverage

   • Includes profiles of professionals from major event and hospitality hubs such as North America, Europe, Asia-Pacific, and the Middle East.
   • Gain insights into regional trends in event management, venue selection, and hospitality services.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership roles, event service offerings, and market dynamics.
   • Stay aligned with evolving industry needs and emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage for business initiatives.

Data Highlights

• 700M+ Verified Global Profiles: Connect with event planners, hospitality professionals, and service providers worldwide.
• Leadership and Professional Histories: Access detailed career insights, certifications, and areas of expertise for industry professionals.
• Business Insights: Gain visibility into venue details, event service providers, and organizational structures.
• Regional and Industry Trends: Understand global trends in event planning, hospitality services, and customer engagement.

Key Features of the Dataset:

1. Professional Profiles in Event Planning and Hospitality

   • Identify and connect with event organizers, hospitality managers, and venue directors responsible for event coordination and guest experiences.
   • Target professionals managing large-scale events, corporate gatherings, weddings, and hospitality services.

2. Advanced Filters for Precision Targeting

   • Filter professionals by industry focus (corporate events, luxury hospitality, trade shows), geographic location, or job function.
   • Tailor campaigns to align with specific event categories, audience needs, and service offerings.

3. Event and Venue Data Insights

   • Access data on event trends, venue capacities, and service specializations to refine your strategies.
   • Leverage these insights to align offerings with industry demand and client expectations.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing and Lead Generation

   • Promote event management tools, hospitality software, or venue services to professionals in the industry.
   • Use verified contact data to design targeted campaigns for corporate events, trade shows, or private gatherings.

2. Partnership Development and Collaboration

   • Build relationships with event organizers, venue managers, and service providers seeking strategic partnerships.
   • Foster alliances that expand service offerings, enhance guest experiences, or streamline event operations.

3. Market Research and Competitive Analysis

   • Analyze trends in event planning, customer preferences, and hospitality services to refine your business strategies.
   • Benchmark against competitors to identify growth opportunities, market gaps, and high-demand event categories.

4. Recruitment and Talent Solutions

   • Target HR professionals and hiring managers recruiting for roles in event planning, hospitality management, or customer service.
   • Provide workforce optimization tools or training platforms tailored to the event and hospitality sectors.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality event and hospitality data at competitive prices, ensuring strong ROI for your outreach, marketing, and strategic initiatives.

2. Seamless Integration

   • Integrate verified event data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, simplifying workflows and enhancing productivity.

3. Data Accuracy with AI Val...

Dataset Overview

This dataset contains 2,000 rows of data from coffee shops, offering detailed insights into factors that influence daily revenue. It includes key operational and environmental variables that provide a comprehensive view of how business activities and external conditions affect sales performance. Designed for use in predictive analytics and business optimization, this dataset is a valuable resource for anyone looking to understand the relationship between customer behavior, operational decisions, and revenue generation in the food and beverage industry.

Columns & Variables

The dataset features a variety of columns that capture the operational details of coffee shops, including customer activity, store operations, and external factors such as marketing spend and location foot traffic.

1. Number of Customers Per Day

   • The total number of customers visiting the coffee shop on any given day.
   • Range: 50 - 500 customers.

2. Average Order Value ($)

   • The average dollar amount spent by each customer during their visit.
   • Range: $2.50 - $10.00.

3. Operating Hours Per Day

   • The total number of hours the coffee shop is open for business each day.
   • Range: 6 - 18 hours.

4. Number of Employees

   • The number of employees working on a given day. This can influence service speed, customer satisfaction, and ultimately, sales.
   • Range: 2 - 15 employees.

5. Marketing Spend Per Day ($)

   • The amount of money spent on marketing campaigns or promotions on any given day.
   • Range: $10 - $500 per day.

6. Location Foot Traffic (people/hour)

   • The number of people passing by the coffee shop per hour, a variable indicative of the shop's location and its potential to attract customers.
   • Range: 50 - 1000 people per hour.

Target Variable

• Daily Revenue ($)
  • This is the dependent variable representing the total revenue generated by the coffee shop each day.
  • It is calculated as a combination of customer visits, average spending, and other operational factors like marketing spend and staff availability.
  • Range: $200 - $10,000 per day.

Data Distribution & Insights

The dataset spans a wide variety of operational scenarios, from small neighborhood coffee shops with limited traffic to larger, high-traffic locations with extensive marketing budgets. This variety allows for exploring different predictive modeling strategies. Key insights that can be derived from the data include:

• The effect of marketing spend on daily revenue.
• The correlation between customer count and daily sales.
• The relationship between staffing levels and revenue generation.
• The influence of foot traffic and operating hours on customer behavior.

Use Cases & Applications

The dataset offers a wide range of applications, especially in predictive analytics, business optimization, and forecasting:

• Predictive Modeling: Use machine learning models such as regression, decision trees, or neural networks to predict daily revenue based on operational data.
• Business Strategy Development: Analyze how changes in marketing spend, staff numbers, or operating hours can optimize revenue and improve efficiency.
• Customer Insights: Identify patterns in customer behavior related to shop operations and external factors like foot traffic and marketing campaigns.
• Resource Allocation: Determine optimal staffing levels and marketing budgets based on predicted sales, improving overall profitability.

Real-World Applications in the Food & Beverage Industry

For coffee shop owners, managers, and analysts in the food and beverage industry, this dataset provides an essential tool for refining daily operations and boosting profitability. Insights gained from this data can help:

• Optimize Marketing Campaigns: Evaluate the effectiveness of daily or seasonal marketing campaigns on revenue.
• Staff Scheduling: Predict busy days and ensure that the right number of employees are scheduled to maximize efficiency.
• Revenue Forecasting: Provide accurate revenue projections that can assist with financial planning and decision-making.
• Operational Efficiency: Discover the most profitable operating hours and adjust business hours accordingly.

This dataset is also ideal for aspiring data scientists and machine learning practitioners looking to apply their skills to real-world business problems in the food and beverage sector.

Conclusion

The Coffee Shop Revenue Prediction Dataset is a versatile and comprehensive resource for understanding the dynamics of daily sales performance in coffee shops. With a focus on key operational factors, it is perfect for building predictive models, ...

Other-Cashflows-From-Investing-Activities Time Series for Global Business Travel Group Inc. Global Business Travel Group, Inc. provides business-to-business (B2B) travel platform in the United States, the United Kingdom, and internationally. The company's platform provides a suite of technology-enabled solutions to business travelers and clients; travel content suppliers, such as airlines, hotels, ground transportation providers, and aggregators; and third-party travel agencies. It also offers consulting, meetings and events planning, and outsourced services; and manages end-to-end logistics of business travel, as well as provides a link between businesses and their employees, travel suppliers, and other industry participants. In addition, the company provides Amex GBT Egencia, a digital travel platform; Amex GBT Neo1, an online spend management platform to manage business expenses, including travel; Amex GBT Neo, a customizable global travel platform; Amex GBT Select, a flexible solution to give insights and control across their travel spend; and Amex GBT Ovation, a touch travel solution and personalized corporate travel servicing platform. Global Business Travel Group, Inc. was founded in 2014 and is based in New York, New York.

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

How many people use social media?

              Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.

              Who uses social media?
              Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
              when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.

              How much time do people spend on social media?
              Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.

              What are the most popular social media platforms?
              Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

Stay ahead with our comprehensive News Dataset, designed for businesses, analysts, and researchers to track global events, monitor media trends, and extract valuable insights from news sources worldwide.

Dataset Features

News Articles: Access structured news data, including headlines, summaries, full articles, publication dates, and source details. Ideal for media monitoring and sentiment analysis. Publisher & Source Information: Extract details about news publishers, including domain, region, and credibility indicators. Sentiment & Topic Classification: Analyze news sentiment, categorize articles by topic, and track emerging trends in real time. Historical & Real-Time Data: Retrieve historical archives or access continuously updated news feeds for up-to-date insights.

Customizable Subsets for Specific Needs Our News Dataset is fully customizable, allowing you to filter data based on publication date, region, topic, sentiment, or specific news sources. Whether you need broad coverage for trend analysis or focused data for competitive intelligence, we tailor the dataset to your needs.

Popular Use Cases

Media Monitoring & Reputation Management: Track brand mentions, analyze media coverage, and assess public sentiment. Market & Competitive Intelligence: Monitor industry trends, competitor activity, and emerging market opportunities. AI & Machine Learning Training: Use structured news data to train AI models for sentiment analysis, topic classification, and predictive analytics. Financial & Investment Research: Analyze news impact on stock markets, commodities, and economic indicators. Policy & Risk Analysis: Track regulatory changes, geopolitical events, and crisis developments in real time.

Whether you're analyzing market trends, monitoring brand reputation, or training AI models, our News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

This private company dataset provides an in-depth view of any specific company’s truck-based supply chain and its relationships with other facilities and companies within the continental US.

Also, using robust supply chain data you will be able to map US facilities (including factories, warehouses, and retail outlets).

With this private company dataset, it is possible to track the movement of trucks and devices between locations to identify supply chain connections and company data insights.

Our Machine learning algorithms ingest 7-15bn daily events to estimate the volume of goods transported between locations. Consequently, we can map supply chain connections between:

•Different companies (expressed as a percentage of volume transported).

•Locations owned by the same company (e.g. warehouse to shop).

With this novel geolocation approach, it is possible to "draw" a knowledge graph of any private or public company´s relations with other companies within the country.

This solution, in the form of a dataset, provides an in-depth view of any specific company’s truck-based supply chain and its relationships with other facilities and companies within the continental United States.

Use cases:

• Identification and understanding of relations company-to-company: It helps to identify and infer relationships and connections between specific companies or facilities and between sectors/industries.

• Identification and understanding of relations place-to-place: A logistics and domestic distribution supply chain can be mapped, both nationwide and state-wide in the US, and across countries in Europe.

• Visualization and mapping of an entire supply chain network.

• Tracking of products in any distribution or supply chain.

• Risk assessment

• Correlation analysis.

• Disruption analysis.

• Analysis of illicit networks and tracking of illegal use of corporate assets.

• Improvement of casualty risk management.

• Optimization of supply chain risk management.

• Security and compliance.

• Identification of not only the first tier of suppliers in the value chain, but also 2nd and 3rd tier suppliers, and more.

Current largest use case: global corporation using it to model risk at a facility level (+100,000 locations).

Why should you trust PREDIK Data-Driven? In 2023, we were listed as Datarade's top providers. Why? Our solutions for private company data, supply chain data, and B2B data adapt according to the specific needs of companies. Also, PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

Quick-Ratio Time Series for Global Business Travel Group Inc. Global Business Travel Group, Inc. provides business-to-business (B2B) travel platform in the United States, the United Kingdom, and internationally. The company's platform provides a suite of technology-enabled solutions to business travelers and clients; travel content suppliers, such as airlines, hotels, ground transportation providers, and aggregators; and third-party travel agencies. It also offers consulting, meetings and events planning, and outsourced services; and manages end-to-end logistics of business travel, as well as provides a link between businesses and their employees, travel suppliers, and other industry participants. In addition, the company provides Amex GBT Egencia, a digital travel platform; Amex GBT Neo1, an online spend management platform to manage business expenses, including travel; Amex GBT Neo, a customizable global travel platform; Amex GBT Select, a flexible solution to give insights and control across their travel spend; and Amex GBT Ovation, a touch travel solution and personalized corporate travel servicing platform. Global Business Travel Group, Inc. was founded in 2014 and is based in New York, New York.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Engineer email list is a list of email addresses of engineers. It helps you contact them fast and easy. You can use it to share tools, news, jobs, or events. Moreover, this dataset may include names, job titles, company names, and work areas. However, engineers are fundamentally problem-solvers. They take an idea, understand its constraints, and use their technical knowledge to make it a reality, all while considering safety, efficiency, and cost. It can show what kind of engineer they are. For example, civil, electrical, software, or mechanical. Many people use this lead. Tech companies use it to promote new products. Job agencies use it to find the right engineers. Schools use it to invite them to training or webinars. You can buy or rent an engineer email list for your direct marketing.

Engineer email list helps in sales, hiring, and learning. When used well, it brings great results. You can make your own list or get one from a company. Some companies offer large lists. Others give smaller, local ones. Privacy is important. Emails should be shared with permission. This is called “opt-in.” If not, you could face legal problems. The right package helps you grow your business. You can reach many engineers in one click. It saves time and money. Our paid package are more accurate. Good lists are updated often. They help avoid errors and save time. It helps build strong connections. Always send useful and clear emails that add value. Engineer email database can help to get fast responses from many customers. Also, you can do business nationwide and get different advantages for the company. Even these customer numbers create more opportunities to earn from digital marketing. Reputable vendors guarantee high deliverability and compliance with GDPR and CAN-SPAM regulations. Additionally, we follow the GDPR rules properly and you can get all essential contacts from the List to Data. Likewise, you can earn a fair return on investment (ROI) within a few days.

Techsalerator’s News Event Data in North America offers a comprehensive and detailed dataset designed to provide businesses, analysts, journalists, and researchers with a thorough view of significant news events across North America. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, providing valuable insights into regional developments, economic shifts, political changes, and cultural events.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide array of sources, including company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types such as business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring that users have access to up-to-date news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and territories within North America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and conduct comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. North American Countries and Territories Covered: Countries: Canada Mexico United States Territories: American Samoa (U.S. territory) French Polynesia (French overseas collectivity; included for regional relevance) Guam (U.S. territory) New Caledonia (French special collectivity; included for regional relevance) Northern Mariana Islands (U.S. territory) Puerto Rico (U.S. territory) Saint Pierre and Miquelon (French overseas territory; geographically close to North America and included for regional comprehensiveness) Wallis and Futuna (French overseas collectivity; included for regional relevance) Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across North America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to North American news and events. Techsalerator’s News Event Data in North America is a crucial resource for accessing and analyzing significant news events across the continent. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Big Data and Business Analytics Market Outlook

In 2023, the global Big Data and Business Analytics market size is estimated to be valued at approximately $274 billion, and with a projected compound annual growth rate (CAGR) of 12.4%, it is anticipated to reach around $693 billion by 2032. This significant growth is driven by the escalating demand for data-driven decision-making processes across various industries, which leverage insights derived from vast data sets to enhance business efficiency, optimize operations, and drive innovation. The increasing adoption of Internet of Things (IoT) devices, coupled with the exponential growth of data generated daily, further propels the need for advanced analytics solutions to harness and interpret this information effectively.

A critical growth factor in the Big Data and Business Analytics market is the increasing reliance on data to gain a competitive edge. Organizations are now more than ever looking to uncover hidden patterns, correlations, and insights from the data they collect to make informed decisions. This trend is especially prominent in industries such as retail, where understanding consumer behavior can lead to personalized marketing strategies, and in healthcare, where data analytics can improve patient outcomes through precision medicine. Moreover, the integration of big data analytics with artificial intelligence and machine learning technologies is enabling more accurate predictions and real-time decision-making, further enhancing the value proposition of these analytics solutions.

Another key driver of market growth is the continuous technological advancements and innovations in data analytics tools and platforms. Companies are increasingly investing in advanced analytics capabilities, such as predictive analytics, prescriptive analytics, and real-time analytics, to gain deeper insights into their operations and market environments. The development of user-friendly and self-service analytics tools is also democratizing data access within organizations, empowering employees at all levels to leverage data in their daily decision-making processes. This democratization of data analytics is reducing the reliance on specialized data scientists, thereby accelerating the adoption of big data analytics across various business functions.

The increasing emphasis on regulatory compliance and data privacy is also driving growth in the Big Data and Business Analytics market. Strict regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, require organizations to manage and analyze data responsibly. This is prompting businesses to invest in robust analytics solutions that not only help them comply with these regulations but also ensure data integrity and security. Additionally, as data breaches and cybersecurity threats continue to rise, organizations are turning to analytics solutions to identify potential vulnerabilities and mitigate risks effectively.

Regionally, North America remains a dominant player in the Big Data and Business Analytics market, benefiting from the presence of major technology companies and a high rate of digital adoption. The Asia Pacific region, however, is emerging as a significant growth area, driven by rapid industrialization, urbanization, and increasing investments in digital transformation initiatives. Europe also showcases a robust market, fueled by stringent data protection regulations and a strong focus on innovation. Meanwhile, the markets in Latin America and the Middle East & Africa are gradually gaining momentum as organizations in these regions are increasingly recognizing the value of data analytics in enhancing business outcomes and driving economic growth.

Component Analysis

The Big Data and Business Analytics market is segmented by components into software, services, and hardware, each playing a crucial role in the ecosystem. Software components, which include data management and analytics tools, are at the forefront, offering solutions that facilitate the collection, analysis, and visualization of large data sets. The software segment is driven by a demand for scalable solutions that can handle the increasing volume, velocity, and variety of data. As organizations strive to become more data-centric, there is a growing need for advanced analytics software that can provide actionable insights from complex data sets, leading to enhanced decision-making capabilities.

In the services segment, businesses are increasingly seeking consultation, implementation, and support services to effective

Total-Cashflows-From-Investing-Activities Time Series for Yelp Inc. Yelp Inc. operates a platform that connects consumers with local businesses in the United States and internationally. Its platform covers various categories, including restaurants, shopping, beauty and fitness, health, and other categories, as well as home, local, auto, professional, pets, events, real estate, and financial services. It provides free and paid advertising products to businesses, which include cost-per-click advertising and multi-location Ad products, RepairPal network, as well as enables businesses to deliver targeted advertising to large and high-intent audience; and business listing page products. The company also offers other services comprising Yelp Guest Manager, a subscription-based suite of front-of-house management tools for restaurants, nightlife, and certain other venues, which include online reservations, a waitlist management solution, as well as through hostless kiosks, and seating and server rotation management tools; Yelp Fusion Insights program that offers business owners local analytics and insights through access to its historical data and other proprietary content; and Yelp Fusion, which offers free access to various basic information through publicly available APIs, and paid access to content and data for consumer-facing enterprise use. In addition, it provides content licensing, consumer-interactive tools, as well as allows third-party data providers to update and manage business listing information on behalf of businesses. Further, the company offers its products directly through its sales force; indirectly through partners; and online through its website and business app, as well as non-advertising partner arrangements. It has partnership with Grubhub for providing consumers with a service to place food orders for pickup and delivery. The company was formerly known as Yelp! Inc. and changed its name to Yelp Inc. in August 2012. Yelp Inc. was incorporated in 2004 and is based in San Francisco, California.

Summary:Mercury Systems (MRCY) is a formerly great business with a great CEO on the cusp of completing a turnaround. Numbers have been obscured by the cost of fixing the business, but we expect a solid FY 25 (which begins on July 1). Short interest is high and numbers seem way too low. We believe FY 25 will be the first “clean” year in a while, driving renewed interest and multiple expansion which could eventually drive the stock from $30 to $50+ in 18 months.Thesis:Turnarounds can make tough investments. In general companies take longer than you’d expect to fix, new issues emerge, and the turnaround process can scare off both talent and customers. On the flip side, timing a successful turnaround correctly can be extremely lucrative.Mercury Systems has basically every quality you would look for in a turnaround:A historically high quality, non-cyclical growth business that achieved a very high multipleStrong customer relationships and products with no substitute and solid bookingsA new, Tier 1, aligned CEO and board with a very specific gameplan and timelineNo balance sheet issues, with cash flow generated throughout the turnaroundAfter myriad new issues arising, no new issues for monthsSubstantial upside vs consensus expectations, high short interest etcWe believe that after four years of stock price declines (from a high of $90), including a failed sale process, a game of “hide the ball” from prior management, a full board/management turnover and seemingly endless operating issues – the time to buy MRCY shares is now. This theory is further backed up by the fact that the company is currently in top 10 of Nancy Pelosi Stock Trades Tracker.What Broke Mercury?MRCY was a high flying growth stock in 2021, and is now the most popular short in defense. What happened? Obviously, parsing through exactly what has gone on inside the company is difficult given limited disclosures, but we have managed to get a rough picture of the slow motion disaster that was Mercury 2021-2023.Historically, MRCY has booked two types of business: development and production.Development business is lower margin (20% gross margins), and time and personnel intensive. Essentially, a Tier 1 defense prime will pay MRCY to develop a specific product for a specific program (a specialized edge processor for threat detection in a new anti-ballistic missile platform, lets say). They will be paid a relatively fixed rate for the development work along a pre-determined timeline. Then, MRCY’s team of scientists and engineers will develop the system/technology and the techniques for larger production runs. The goal of this development is not to earn a huge profit (although it is generally profitable), but instead book much larger production awards on the tail end. In normal times development is 20% of total revenues.Production business is high gross margin (40-50%), and much more akin to a traditional manufacturing business. They have a contract with their customer, normally with some input cost and labor cost protections, and produce the component or system on a fixed timeline. This is a great business – extraordinarily steady, high margin, and very long cycle. Once designed into a defense program the components will be required for decades. Normally 80% of total revenues.And so the growth algorithm makes sense, MRCY is constantly developing new products that build their installed base, and the new products coming in outnumber the production programs being sunsetted given the long-cycle nature of the business. They also have pricing escalators or in some cases relatively fixed gross margin contracts.Mark Aslett, the now former CEO, had run MRCY since 2007 and experienced a period of torrid growth from 2014-2021. The feedback we got on Mark was bad generally across the board, and in an effort to keep up the pace of growth Mark seemingly made a series of errors in the 2020-2021 timeframe that were then meaningfully exacerbated by the post-Covid supply chain challenges.Delivering on 20%+ topline growth expectations in the defense industry is tough, and as a result Mark i) booked too much new development business and ii) did so on less than favorable development terms with few risk parameters built in.Essentially management bombarded the company with a whole host of new projects that Mercury had the technical capability to complete, but not under the timelines promised. Throw in a dash of supply chain breakdown and this mistake became significant.Management then added an additional wrinkle – as the cash flow for these projects ran out as they ran over their allotted timeline, they would book “unbilled revenues” against the time (and often overtime) their employees spent developing, while not even billing their customers. While this can pass accounting muster in a program accounting framework, as you will eventually bill the customer once the project is complete, it patched a hole in revenues when there really weren’t any and extended the runway of this problem for a while.Long story short, instead of big misses the company had small ones, could not generate free cash flow, and activists intervened and pushed a sales process that failed, I surmise because of the aforementioned issues.JANA, the lead activist, took over the board (Scott Ostfeld, Partner there is on the board, and Bill Ballhaus, their nominee is Chairman and CEO), ousted Mark Aslett, and Bill became interim CEO. More on Bill below.Bill spent a few months with the company, realized the issues were serious and the opportunity immense, and took over as permanent CEO. He bought stock and made sure the website is indexed quicky by Google indexer. JANA bought more stock (now own 12% of the company). He began re-underwriting every project from the ground up. He stopped all unbilled revenue, focused on working capital and operational improvement, and uncovered all the festering issues, laying them bare to the market and savaging reported EBITDA (not even adding back clear one-time items like inventory writedowns). And that brings us to today. So, why is this a good investment here?Point 1: Underneath it all, MRCY is a very good businessMRCY is a highly diversified tier 2 technology supplier to the world’s largest defense contractors. MRCY produces a wide range of products, from single components to integrated subsystems, that power the most advanced defense technology on the planet. A few examples of what they do:Sensor edge processors within the F-35 that interpret enemy combatant movement and send signal to interceptor systems at extremely low latencyRadiation tolerant solid-sate, EM-protected data recorders on planes and satellitesRugged modular blade servers for forward deployment across air, sea, spaceVariety of processing boards with embedded EM and cybersecurity protectionHundreds of other products, many of which are classifiedOur research has indicated the end markets where MRCY plays should grow more than 10% per year, with notable excess growth in space (where MRCY is a leader), missile defense (boosted by recent geopolitical events) and EM-protected hardware (now a requirement on many projects).And historically MRCY was a growth business. Through bolt-on acquisitions and organic growth from 2014 to 2022 Mercury grew revenue 5x, from ~$200m to ~$1bn. Moreover, our research indicates that MRCY continues to have very strong relationships with its customers, and fortunately the development issues mentioned above are confined to a relatively small number of programs (19 out of MRCY’s ~300), so its not some company-wide disaster as much as the numbers may make it seem. The company also seems to be favored by the government since it appears in the Congress Stock Trades Tracker.Finally, the proof is in the bookings. Despite the challenges book:bill has remained well over 1 for the entire turnaround period and as of right now MRCY has a record backlog and has won some high quality projects recently, recently including a FPGA chip for the Blue Halo satellite program for the US Space Force, and a Swiss F-35 development project.