Data Analysis
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.
Indrė Akrutė
February 24, 2023
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.
Andrius Ziuznys
December 29, 2022
Data Analysis
Buying Web Data for Improved Business Decisions in 2023
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.
Andrius Ziuznys
March 27, 2023
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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.
Lukas Racickas
December 22, 2022
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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.
Lukas Racickas
November 25, 2022
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.
Jenna Bunnell
July 12, 2022
Data Analysis
Business Insights: Using Alternative 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 alternative data.
Indre Ozalinskaite
May 24, 2022
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.
Andrius Ziuznys
March 30, 2022
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.
Coresignal
December 02, 2021
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.
Coresignal
November 22, 2021
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.
Coresignal
November 18, 2021
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.
Coresignal
October 13, 2021
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.
Coresignal
October 07, 2021
Data Analysis
Coresignal Sponsors UC Hastings Center for Business Law in Bid to Demonstrate Alternative Data's Value for Research
Coresignal announces a sponsorship with the UC Hastings Center for Business Law to assist its research with alternative data. It analyzes the effect of financial distress and bankruptcy on workforce.
Coresignal
October 06, 2021
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.
Coresignal
September 20, 2021
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.
Coresignal
September 16, 2021
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.
Lukas Racickas
February 08, 2023
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.
Coresignal
September 07, 2021
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.
Coresignal
May 27, 2022
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.
Susanne Morris
August 25, 2021
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 alternative data boosts competitive intelligence.
Coresignal
September 14, 2022
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.
Coresignal
August 10, 2021
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.
Coresignal
August 05, 2021
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.
Coresignal
July 26, 2021
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.
Coresignal
February 11, 2022
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.
Coresignal
February 22, 2022
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.
Coresignal
February 15, 2022
Data Analysis
B2B Data: The Complete Guide for 2023
B2B data helps businesses enhance their understanding of other businesses, improve decision making, generate business opportunities, and support marketing & sales strategies.
Susanne Morris
March 24, 2023
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.
Coresignal
September 16, 2022
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.
Coresignal
January 24, 2023
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.
Susanne Morris
November 26, 2021
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.
Coresignal
November 29, 2021
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.
Lukas Racickas
January 25, 2023
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.
Coresignal
April 15, 2021
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.
Susanne Morris
May 23, 2022
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.
Lukas Racickas
February 10, 2023
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.
Susanne Morris
March 03, 2021
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.
Susanne Morris
June 09, 2022
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.
Susanne Morris
June 02, 2022
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.
Susanne Morris
September 13, 2022
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.
Lukas Racickas
March 21, 2023
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.
Lukas Racickas
January 11, 2023
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.
Susanne Morris
March 27, 2023
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.
Susanne Morris
October 30, 2020
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Subscribe to our monthly newsletter to receive product-related news and use cases, exclusive offers, and expert data content
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