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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 life cycle representation

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 ingestion

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

a disfigured circle blending into a smooth circle

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 redundancy visual

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

unique building composition

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

secondary data

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

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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 tunnel

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.

Coresignal

September 27, 2022

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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

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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

Environmental Scanning

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 marketplace visual

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 intelligence in a computer

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

procurement analytics visual

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

headcount data

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 sourcing illustration

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

B2B data

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

November 30, 2022

Data Science and Analytics Quotes

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

Financial buildings and company headquarters

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 as a service

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

structured vs unstructured data visual

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 visualization quotes

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 transformation visual

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 wrangling visual

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.

Susanne Morris

June 02, 2022

data interpretation visual

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

web data integration visual

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 normalization visual

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 discovery visual

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 aggregation visual

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.

Pablo Mena

May 26, 2022

data quality visual

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

JSON, CSV, and XML

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

April 08, 2021

data parsing visual

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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