Data Analysis

Data Analysis

When Should Your Startup Consider Using Public Web Data?

Find out when web data is necessary for a startup and why your startup should consider using it.

Data Analysis

5 Key Factors that Define Reliable Data

Learn more about the basics of data reliability: the key factors, the different ways this term is used in data science, and how to avoid unreliable data.

Data Analysis

Company Benchmarking: Compare Companies to Make Informed Decisions

Let's examine how benchmarking helps businesses improve their current procedures, invest their assets better, and create data-based strategies.

Data Analysis

Things You Should Know When Scaling Your Web Data-Driven Product

Scaling is an important part of growing your business. Here are some things you should know about it.

Data Analysis

Competitive Landscape Analysis: A Data-driven Guide to Staying Ahead of Industry Rivals

Learn how companies conduct a data-driven competitive landscape analysis that leads to actionable insights and take businesses to the next level.

Data Analysis

Database APIs: Benefits, Limitations, and When you Should Switch to Datasets

Learn more baout when you should consider using database APIs, why this solution is popular, and when it might not be the right choice for your company.

Data Analysis

How to Define Your Data Needs in 2024?

Discover how to define your data needs effectively in 2024. This article offers valuable insights and actionable tips to identify data objectives, understand industry requirements, manage data, and assess its quality to drive profitability and efficiency.

Data Analysis

Choosing a good data provider: 5 Questions to Ask Before You Buy

Learn about five key factors you should consider when buying public web data from a new data provider and why they are important.

Data Analysis

Predictive Modeling with Web Data: Anticipating Investment Opportunities and Risks

Discover the power of predictive modeling with web data for enhancing business growth. Learn how AI and machine learning can help your organization forecast future trends, identify investment opportunities, and anticipate risks.

Sales & Marketing

Data Analysis

Top 3 B2B Database Providers in 2024

Find the best data provider in 2024. Learn how B2B databases can supercharge your lead generation, market research, and customer support. Discover top providers and expert tips.

Data Analysis

Buying vs Scraping Data in 2024: Exploring the Pros and Cons

Explore the pros and cons of buying versus scraping data for your business. The article highlights factors like data quality, customization, and project specifics, guiding you to the best data acquisition strategy for your needs in 2024.

Data Analysis

The Growth of AI-Driven Companies During 2020-2023

Explore the rise of AI-driven companies during 2020-2023. Data analysis unveils the top countries, number of new startups, and largest players in the industry. Discover the impact of AI and AGI on company growth.

Data Analysis

What Industries Grew the Most During 2022?

In this data digest, you will find the top 5 industries that showed the most growth during 2022, the largest industries by company count in general, and the countries that contributed most to the growth.

Data Analysis

One in Three Startup Founders Have Built More Than One Company

Read a quick data digest for more insights about these professionals based on publicly available data on their experience and entrepreneurship.

Data Analysis

External Data and Its Integration to Business Strategy

External data is information acquired outside of your organization that could help you discover new investment opportunities, improve talent sourcing, build data-driven products, and more. Read the article to learn how you can use it.

Data Analysis

Maximizing the Potential of Your CRM Data with Data Enrichment

Enriching your CRM data raises its quality and helps optimize your business procedures. This data-driven approach enables better decision-making and provides more accurate information on your clients.

Data Analysis

Tech Industry Jobs Amid the Wave of Layoffs

As more and more companies in the tech industry are announcing layoffs, we analyzed 100,000 job postings from January 2023 published by companies based in the U.S. to see what talent tech businesses are still hiring.

Data Analysis

Website Data Collection the Right Way

Web data collection is a complex process that entails many technical and legal challenges. In this article, we’ve covered all there is to know about it.

Data Analysis

Buying Web Data for Improved Business Decisions in 2024

Looking to buy data but not sure where to start? After reading this article, you will know how to identify your data needs, select a provider, and what data to buy.

Data Analysis

Common Public Web Data Challenges And How to Navigate Through Them

Public web data unlocks many opportunities for businesses that can harness it. Here’s how to prepare for working with this type of data.

Data Analysis

How to Prepare for Working With Public Web Data?

Public web data can provide unique insights and opportunities for your business. To get the most out of it, use these tips on how to prepare and what recources you need to get started with this type of data.

Data Analysis

How to Get Started With Data Science: The Key to Growing Your Startup

How do you get started with data science when launching a startup and how should you be using it? Learn about various data science disciplines and applications.

Data Analysis

Business Insights: Using Public Web Data to Identify Business Opportunities

A business insight is a result of analyzing data with the goal of using it to understand and improve your business. In this article, you will learn how to generate actionable insights using public web data.

Data Analysis

Business Data: Unlock Your Company's Untapped Potential

Business data is a broad concept that consists of many different categories. From web analytics to enhanced recruitment, it covers a wide range of benefits that help stimulate business growth.

Data Analysis

Data Life Cycle: Manage Your Data to Ensure a Successful Business

Knowing the stages of life which your data goes through is imperative to keeping it protected and unbreached at every step of the way. This article explores the different stages of data life.

Data Analysis

Data Ingestion: the Backbone of All Data-Related Operations

Data ingestion is the process of moving your data to useful locations. Read more to learn about different types of data ingestion with different allowances and benefits.

Data Analysis

Data Blending: Manage Your Data Efficiently and Cost-Effectively

Data blending decreases the time spent on data preparation. This article explores how you can manage your data more efficiently and effectively.

Data Analysis

Data Redundancy: What Is It and How to Avoid It?

Redundant data that exists as duplicated information does not only make your database inconsistent but also skews your data insights, leading to unsuccessful business decisions.

Data Analysis

First-Party Data: What Is It and How to Get It?

First-party data is information that a company collects directly from its customers. Learn how it relates to business data from other sources, and how it’s used to boost decision-making.

Data Analysis

Coresignal Sponsors UC Hastings Center for Business Law in Bid to Demonstrate Public Web Data's Value for Research

Coresignal announces a sponsorship with the UC Hastings Center for Business Law to assist its research with public web data. It analyzes the effect of financial distress and bankruptcy on workforce.

Data Analysis

Secondary Data: Analysis, Benefits, Importance, and Sources

Secondary data is information that is collected and analyzed by a second party. This article will explore the benefits and importance of secondary data, and the metrics used to measure it.

Data Analysis

Data Curation: Benefits, Goals, and Best Practices

Data curation is among the most important procedures for managing the enormous amounts of data we have today. It involves detecting and salvaging value in data that may otherwise be overlooked.

Data Analysis

Qualitative vs Quantitative Data: Differences & Examples

Quantitative data refers to numerical information and qualitative data analyzes textual information. Read the article to learn when and how to use quantitative or qualitative research methods.

Data Analysis

Data Integrity: Definition, Importance, and Types

Data integrity refers to several data characteristics, including accuracy, consistency, and completeness. Explore the importance of data integrity and its key elements.

Data Analysis

OSINT Business Data: Actionable Intelligence For Company Growth

Open source intelligence is the practice of utilizing publicly available sources of information for various intelligence goals. This article explores what it is and how businesses are using it today.

Data Analysis

Environmental Scanning: Generate Successful Business Strategies

The environmental scanning process involves various types of internal and external data. This article explores its five sectors, importance, and differences between internal and external scanning.

Data Analysis

Competitive Intelligence: Overview, Benefits, Tools, and Data Sources

Competitive intelligence is the practice of analyzing competitors, customers, and general market conditions. This article explores how public web data boosts competitive intelligence.

Data Analysis

Data Marketplace: Find the Right Provider for You

A data market is a virtual platform where data providers and users interact to buy and sell datasets. This article explores the key concepts regarding data marketplaces.

Data Analysis

Data Intelligence: Components, Benefits, and Use Cases

Improving data intelligence can significantly enhance business analytics, AI-based tools, and a company’s financial standing. Explore the components, benefits, and use cases of data intelligence.

Data Analysis

Procurement Analytics: Benefits, Processes, Sources, and Metrics

Procurement analytics is collecting and analyzing purchase information, accounts payable, and credit card expenditures data. Companies can leverage it to improve the overall decision-making process.

Data Analysis

Headcount Data: Evaluate and Improve Company Performance

Headcount data builds a fuller picture of a company. You can gather insights into the company's well-being regarding employee count. Read more to learn how it can help you make business decisions.

Data Analysis

Data Sourcing: an Integral Part of Today's Business

Data sourcing is extracting and integrating data from multiple internal and external sources. This article examines how data sourcing is an integral part of business today.

Data Analysis

Business Traction: What It Is and How to Get It?

Business traction measures the progress startup companies gain from investors, consumers, and other businesses. Read more about how established metrics of success help determine business traction.

Data Analysis

B2B Data: The Complete Guide for 2024

B2B data helps businesses enhance their understanding of other businesses, improve decision making, generate business opportunities, and support marketing & sales strategies.

Data Analysis

What is A Data Broker and Why Do You Need One?

Data brokers are private persons or firms specializing in gathering information from various public web sources. They process, clean, and structure the collected data.

Data Analysis

20 Data Science Quotes by Industry Experts

We have collected 20 data science quotes from industry experts, providing unique insights into what it means to practice data science within different industries.

Data Analysis

Company Data: Boost Your Lead Generation Strategies

Company data covers internal customer relations data and external data about a business’s characteristics. This article explores what makes up company data, its benefits, how it’s leveraged, and more.

Data Analysis

Data as a Service: Benefits, Challenges, and Solutions

Data as a Service allows companies to outsource data storing and maintaining services. Businesses now resort to DaaS providers to have all the benefits of leveraging data without storing it.

Data Analysis

Structured vs. Unstructured Data: Key Differences

Structured data is formatted and organized for readability within relational databases. Unstructured data’s format is undefined, not well-organized, and not usable by relational databases.

Data Analysis

20 Data Visualization Quotes by Industry Experts

How do you make data visualization come alive with just a few lines of text? Here are 20 data visualization quotes by industry experts to help you make your point.

Data Analysis

Data Transformation: Benefits, Types, and Processes

Data transformation involves converting data from one format into another. This article explores the process, its contribution to data integration, and new data transformation technologies.

Data Analysis

Data Wrangling: Benefits, Processes, and Application in AI

Data wrangling is the process of cleaning, transforming, and organizing raw data. This article explores its significance, benefits, processes, and its application in AI and machine learning.

Data Analysis

Data Interpretation: Definition, Importance, and Processes

Data interpretation is a process that utilizes analysis, evaluation, and visualization to provide in-depth findings. This article will explain data interpretation methods, processes, and benefits.

Data Analysis

Web Data Integration for Business: What You Should Know?

Web integration provides hidden insights to businesses and analysts. Many businesses have turned to web data integration for more sophisticated solutions surrounding data quality.

Data Analysis

Data Normalization: Definition, Importance, and Advantages

Data normalization is a data standardization solution for businesses and investors. Data can elevate investment decisions and improve AI-based recruitment.

Data Analysis

What is Data Discovery and Why Is It Essential for Investors?

Data discovery is a data collection process that involves gathering, cataloging, and classifying data from various databases for deeper insights.

Data Analysis

Data Aggregation: Definition, Benefits, and Examples

At first glance, understanding the value of raw data can be a challenge for businesses. However, the data aggregation process converts unstructured raw data into powerful insights.

Data Analysis

Data Quality: Definitions, Use Cases, and Improvement Methods

Whether you work in development, sales, or acquisition, utilizing quality data is essential for business operations. This article explores how to maintain data quality for everyday use.

Data Analysis

Data Storage: JSON vs. CSV

Understanding data storage is necessary for professionals working in data-driven businesses. Read more to learn the benefits of harnessing the power of different data storage formats.

Data Analysis

Data Parsing: Definition, Technologies, and Use Cases

Data parsing is a great solution for extracting, analyzing, and processing large amounts of data. This article explores different types of analysis, parsing technologies, and use cases.