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Coresignal

December 02, 2021

Data Life Cycle: How to Manage and Protect Data to Ensure a Safe and 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. After all, data is crucial for every businesses’ performance. Learning the differences between different types of data and their relevance helps make educated decisions regarding what data is still useful. Irrelevant data, then, can be archived or deleted to make your data-related life easier and less clustered.

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Coresignal

November 29, 2021

Marketing Challenges: How to Manage Data Effectively to Overcome Digital Challenges?

Marketing challenges are not the same as they used to be. As more businesses turn digital, billboards slowly lose their status as an effective marketing tool. The internet is clustered with information and people are exposed to it almost all the time. The options are limitless. If you want to stand out from your competition, you need to create data-driven quality content and assert your position in the digital landscape of marketing.

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Coresignal

November 25, 2021

Ideal Customer Profile (ICP): Boost Your Sales and Conversion Rates

Simply having a product is not enough to produce sales. It is of utmost importance that you visualize your potential customer. Creating an ideal customer profile takes time and effort, but it’s extremely rewarding in terms of business success. Knowing who you want to target makes the marketing campaigns more effective and tailored specifically to your target audience; hence, producing more sales.

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Coresignal

November 22, 2021

Data Ingestion: a Fundamental Ground on Which All Your Further Data Analysis Stands

Data ingestion is the backbone of all the data-related operations up until the point where you can use it for advancing your business goals. It is the process of moving your data to where it needs to be in order for it to be useful and beneficial to your firm. There are a few different types of data ingestion with different allowances and benefits. At the end of the day, data is one of the most valuable assets to a business. Why not make the most of it?

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Coresignal

November 18, 2021

Data Blending: Manage Your Data Efficiently and Cost-Effectively

Data blending can make your life easier in terms of decreasing the time spent on data preparation. You are no longer required to jump across several platforms to make data-driven decisions. Everything is in one place, ready to go. As a result, you can use more resources acting on the insights, rather than trying to put together all the needed information to reach them.

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Coresignal

November 15, 2021

Harnessing the Power of Intent Data: How Can It Help You Gain Advantage Against Your Competitors?

Intent data is crucial to business performance. It provides an insight to users’ behavior online which you can use for your own benefit in terms of lead generation. Targeting your potential customers more efficiently is a key factor in becoming, and staying, competitive. By having access to this data, you exponentially increase the chances of success in attracting new customers.

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Coresignal

October 13, 2021

A Quick Guide to Data Redundancy

Data redundancy, which involves the storage of the same data in multiple separated places, isn’t always a bad thing. But it is cause for awareness. Redundant data that also exists as duplicated information does not only make your database inconsistent but can also significantly skew your data insights, leading to less efficient or unsuccessful business decisions. 

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Coresignal

October 11, 2021

Understanding Market Segmentation: Benefits, Importance, and Use Cases

Many business professionals tend to overlook market segmentation. This concept refers to dividing the target market into clusters or subsets based on different criteria. The purpose is not to create a marketing strategy; rather, market segmentation helps you understand your potential customers, according to their behaviors, interests, demographics, priorities, and many others.

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Coresignal

October 08, 2021

A Guide to Alternative Assets: Benefits, Sources, Methods, and More

Alternative investments or assets are all tradeable goods that are not stocks, bonds, or cash. This means that aside from these three types of traditional asset classes, alternative investment deals with all kinds of goods that one invests in expecting their value to rise over time. Naturally, this makes alternative asset classes very wide-ranging and diverse.

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Coresignal

October 07, 2021

What is First-party Data?

First-party data is information that a company collects directly from its customers, that is held in a firm’s customer relationship management (CRM) systems, or some related customer data platform. This article will explore first-party data, how it relates to business data from other sources, and how it’s used to boost decision-making.

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Coresignal

October 06, 2021

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

Coresignal is pleased to announce a sponsorship deal with the UC Hastings Center for Business Law to assist its research efforts with alternative datasets. The study will analyze the effect of company financial distress and bankruptcy on its workforce.

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Coresignal

September 20, 2021

A Guide to Secondary Data: Analysis, Benefits, Importance, Sources, and More

Secondary data is information originally created and used by a primary source for a specific purpose that is then collected and analyzed by a second party. This article will explore primary vs. secondary data, the benefits and importance of secondary data, and the metrics used by companies and analysts to measure secondary data.

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Coresignal

September 16, 2021

Understanding 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. The utility of this process when managing large pools of data within business primarily involves detecting and salvaging value in data that may otherwise be overlooked.

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Coresignal

September 14, 2021

Enhancing AI-based Investing with Alternative Data: Private Equity Case Study

Investors are able to utilize Coresignal’s raw alternative data sets to help enhance their AI-based investing strategies. This article will explore how one of today’s most prominent PE firms utilizes our data for signal generation, AI-based investing, and investment analysis.  

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Coresignal

September 09, 2021

A Quick Guide to Data Types: Qualitative vs. Quantitative

Data-driven decision-making is perhaps one of the most talked-about financial and business solutions today. The success of such data-driven solutions requires a variety of data types for a number of use cases. This article will focus on alternative data and provide a deeper understanding of the various alternative data types, specifically qualitative and quantitative data.

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Coresignal

September 07, 2021

The Importance and Power of Data Integrity: Key Elements

Data integrity refers to several data characteristics, including accuracy, consistency, and completeness, mainly utilized to ensure data quality, meet regulatory compliance, and maintain data security. This article will explore the importance of data integrity and its key elements so you can preserve your company’s integrity, reputation, and avoid data-related setbacks.

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Coresignal

August 30, 2021

Harnessing Alternative Data to Perform Due Diligence in Mergers and Acquisitions

With the wide adoption of alternative data and an increasing variety of data sources, due diligence has delivered richer and more accurate insights over the years, and has consequently expanded to collect and analyze a variety of data sources, not only internal company data. This article will explore due diligence within mergers and acquisitions and how alternative data is enriching this process.

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Coresignal

August 26, 2021

An Overview of Open Source Intelligence: Benefits, Tools, Sources, and Use Cases

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

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Susanne Morris

August 25, 2021

A Quick Guide to Environmental Scanning

The environmental scanning process involves various types of both internal and external data. This article will take a closer look at the importance of environmental scanning, the five sectors of environmental scanning, and the difference between internal and external environmental scanning. 

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Coresignal

August 23, 2021

Performing Financial Due Diligence with Alternative Data

Financial due diligence is the process of examining and verifying a potential investment or deal opportunity. It purports to confirm that all the information and facts are correct and precise, providing peace of mind to the buyer. In other words, due diligence reduces risk by ensuring that the interested party is aware of all transactional details.

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Susanne Morris

November 30, 2021

Harnessing the Power of Lead Enrichment with Alternative Data

Lead enrichment is the process of collecting, managing, and analyzing data about a prospective customer’s interest in a product or service. Integrating alternative data into the lead enrichment process can help generate insights on how to enhance marketing and sales strategies and win customers.

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Coresignal

August 19, 2021

Gathering Competitive Intelligence with Alternative Data

Competitive intelligence is the capacity and practice of gathering and analyzing information about competitors, customers, and general market conditions. Competitive intelligence aims at improving one’s market understanding that can be translated into gaining a competitive advantage. This article will look at how alternative data boosts competitive intelligence to enhance impactful insights.

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Coresignal

August 10, 2021

What is a Data Marketplace?

A data market is a virtual platform where data providers and data users interact to buy and sell datasets from multiple sources. The following article introduces the key concepts regarding data marketplaces and how businesses leverage them to improve business processes and market performance.

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Coresignal

August 09, 2021

What is Marketing Intelligence?

Marketing intelligence, often used interchangeably with market intelligence, is an umbrella term defined as all of the information collected and analyzed by a business in order to retrieve valuable market insights for enhanced decision-making within marketing and consumer-facing business operations.

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Coresignal

August 05, 2021

What is Data Intelligence?

Data intelligence refers to all of the tools and informational assets that companies leverage to help derive insights with the objective of enhancing overall business performance. Improving one’s data intelligence can significantly enhance business analytics, enrich AI-based business tools, and improve a company’s financial standing.

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Susanne Morris

August 03, 2021

What is Talent Sourcing?

Talent sourcing is the process of discovering, exploring, and interacting with prospective job candidates in order to generate qualified job applicants for a particular position. Today, companies are turning to a more data-driven approach as they increasingly leverage talent sourcing strategies, platforms, software, and tools.

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Susanne Morris

July 30, 2021

How Companies are Utilizing Alternative Data for HR Analytics: Examples, Benefits and Trends

HR analytics involves collecting and evaluating human resources data to enhance HR processes and other general business operations. Unlike people analytics or workforce analytics, human resource analytics directly impacts HR functions and strategies that directly affect revenue, expenses, risk, and planning.

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Susanne Morris

July 29, 2021

Utilizing Alternative Data to Identify Workforce Trends

Workforce trends refer to the measurement and analysis of employee-related changes within a specific workplace environment over a given time. Today, companies can leverage alternative data and utilize HR software to implement actionable insights gained from workforce data.

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Coresignal

July 26, 2021

Procurement Analytics: Harnessing its Benefits, Processes, Data Sources, and Metrics

Procurement analytics refers to the process of collecting and analyzing data, such as purchase information, accounts payable, credit card expenditures. Companies can leverage procurement data analytics to improve the overall business decision-making process.

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Coresignal

July 16, 2021

Utilizing Headcount Data: Its Benefits, Sources, and Reporting

Headcount data is demographic information about all employees working for a particular company. Headcount data, such as employment status, job title, gender, and age, is leveraged primarily for headcount reporting and workforce planning, providing valuable insights about companies from internal and external perspectives.

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Coresignal

July 12, 2021

Venture Capital Case Study: Harnessing the Power of Alternative Data

Coresignal's raw alternative datasets help professional investors screen startups, conduct investment intelligence, perform market analysis, and more. This case study explores how one of today’s largest VC firms utilizes our alternative datasets for deal sourcing, investment analysis, and decision enhancement.

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Coresignal

June 25, 2021

What is Talent Intelligence?

Talent intelligence refers to collecting and analyzing data surrounding your present and past candidates, existing and former employees, as well as your competitors’ workforce. Talent intelligence solutions are becoming critical across industries and are proving to enhance business performance.

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Coresignal

June 23, 2021

What is Recruitment Analytics?

Recruitment analytics is the process of collecting and analyzing data with hiring cycle metrics to improve recruitment procedures and enhance hiring results. Recruitment analytics investigates all aspects of the hiring process within a company, aiming to forecast future hiring needs and improve the process. This article will explore recruitment analytics, its benefits, and how companies measure data-driven hiring processes.

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Coresignal

June 07, 2021

Data Sourcing: Benefits, Source Types, Providers, Challenges, and More

Data sourcing is how companies extract and integrate data from multiple internal and external sources. This process creates a data infrastructure that is used for handling daily workflows and achieving various business objectives. This article examines how data sourcing is an integral part of doing business in the heavily data-based markets of today.

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Coresignal

June 14, 2021

What is Investment Research?

Investment research is a term for a category of analysis processes investors utilize while studying and analyzing financial assets’ performance to create a list of well-performing assets. This article covers the history of investment research, its benefits, and trends for 2021 and beyond. 

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Coresignal

June 07, 2021

What is Business Traction and How to Get It?

Business traction measures the progress and momentum startup companies gain from investors, consumers, and other businesses. Likewise, this article will explore how established measurements of success, such as revenue and support from the customers, help determine the existence and scope of business traction.

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Susanne Morris

November 25, 2021

B2B Data: Gain Valuable Insights Into Other Businesses to Enhance Your Company's Success

Business-to-business data, also known as B2B data, is information about other businesses, such as company identifiers, funding, revenue, and more. B2B data helps businesses enhance their understanding of other businesses, improve decision making, generate business opportunities, and support marketing & sales strategies.

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Coresignal

June 03, 2021

What are Data Brokers and What Value do They Bring?

Data brokers, also known as data providers, are either private persons or, more often than not, firms specializing in gathering information from various public web sources. Data brokers then process, clean, and structure the collected data and then license for businesses and financial firms. Data or information brokers in most contexts are known as data suppliers or data providers.

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Coresignal

June 02, 2021

20 Data Science Quotes by Industry Experts

How do data specialists think about data and analytics? We have collected 20 data science quotes from industry experts, providing unique insights to what it means to practice data science within different industries.

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Coresignal

May 21, 2021

What is Workforce Analytics? Examples, Benefits, and Trends

Workforce analytics is becoming a powerful tool for improving company-wide performance. This article explores workforce analytics, its benefits, and how business leaders can leverage it to stay ahead of their competition.

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Susanne Morris

November 26, 2021

Company Data: Boost Your Lead Generation Strategies

Company data is a broad term for data that covers internal customer relations data and external data, data collected by a third-party data company, about a business’s characteristics and behavior. This article will explore what makes up company data, its benefits, how it’s leveraged, and more.

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Coresignal

November 29, 2021

Data as a Service: Benefits, Challenges, and Solutions for Your Business

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

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Coresignal

November 26, 2021

Trend Analysis: Types, Benefits, and Examples

Trend analysis refers to comparing data points over a given period, allowing you to identify increases (upward trends), decreases (downward trends), or stagnation (no change). This article will explore trend analysis, its benefits, and real-life examples.

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Susanne Morris

April 23, 2021

A Guide to Structured and Unstructured Data

Structured data is information that is formatted and organized for readability within relational databases. On the other hand, unstructured data’s format is undefined, not well-organized, and not usable by relational databases.

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Coresignal

April 15, 2021

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.

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Coresignal

April 12, 2021

The Future of Hedge Funds: Implementing AI

While AI technology has greatly impacted the world of investing, however, artificial intelligence’s true potential remains to be seen. This article will explore how AI has evolved in investing, how hedge funds are utilizing AI, and the future of AI application in investing.

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Susanne Morris

April 09, 2021

What is Data Transformation?

Data transformation involves converting data from one format into another for further processing, analysis, or integration. This article will explore the data transformation process, its contribution to data integration’s broader processes, and new data transformation technologies.

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Coresignal

March 22, 2021

Top Three Private Equity Trends in 2021

Just like any other industry, private equity periodically experiences trend shifts. It is natural to expect that such monumental events as we experienced last year will shape the trends for 2021. To understand better what awaits us, let’s dive into the past, present, and future of private equity.

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Coresignal

March 22, 2021

Top Hedge Fund Industry Trends in 2021 and Beyond

With increased active management, hedge funds are starting to make a wave in investing, not only as a means for diversification but also for returns. This article will explore the most prevalent hedge fund trends in 2021 and of the future, and why they are likely to impact other investment decisions.

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Susanne Morris

March 15, 2021

What is Data Wrangling?

Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data for further analysis and integration. This article will explore the significance and benefits of data wrangling, the data wrangling process, and the application of data wrangling in AI and machine learning.

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Coresignal

March 10, 2021

Understanding Quantitative Investing Strategies: A Quick Guide

As technology advances, more and more data become available. Quantitative investment strategies gain popularity as a computer-based investment method to sort massive volumes of information and automate the decision-making process. This article offers an overview of quantitative investment strategies and how they can help investors maximize their returns.

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Susanne Morris

March 03, 2021

A Quick Guide to Data Interpretation

Data interpretation is a data review process that utilizes analysis, evaluation, and visualization to provide in-depth findings to enhance data-driven decision-making. This article will explain the many data interpretation methods, the data interpretation process, and its benefits.

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Coresignal

February 24, 2021

Venture Capital and the Benefits of Machine Learning Methods

As data-driven investing continues to provide substantial results, investors are now turning to machine learning methods to enhance traditional data sources and investing methods. This article explores the benefits of machine learning in venture capital and how it can help investors correctly identify reward opportunities.

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Susanne Morris

February 21, 2021

Five Venture Capital Trends to Watch in 2021

The venture capital industry is very good at adapting to changing circumstances and transforming to lead financial and business innovation. Here are five venture capital trends that have already had significant impacts on the financial industry.

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Susanne Morris

February 16, 2021

A Quick Guide to Data-Driven Investing

Alternative data’s broad application and usability have been catalysts for investing in technology development and data processing software. The integration of alternative data with AI investing technologies has demonstrated that when investors utilize traditional financial data with alternative data, the opportunities are limitless.

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Susanne Morris

February 08, 2021

Web Data Integration for Business: What you should know

Web integration goes beyond traditional web scraping to provide hidden insights to businesses and analysts not easily readable by human end users. Many businesses have turned to web data integration for more sophisticated solutions surrounding data quality and unpacking the potential web data life cycle.

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Susanne Morris

January 18, 2021

What is Data Normalization?

Data can elevate investment decisions and improve AI-based recruitment; however, well-structured data is often hard to come by. Likewise, data normalization is a data standardization solution for businesses and investors.

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Susanne Morris

January 15, 2021

What is Data Discovery?

Business experts and investors are harnessing the power of data with processes such as data discovery. Data discovery is a data collection process that involves gathering, cataloging, and classifying data from various databases for deeper insights.

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Pablo Mena

December 20, 2020

What is Data Aggregation?

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

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Susanne Morris

December 07, 2020

What is Data Quality?

Whether you work in development, sales, or acquisition, utilizing quality data is essential for day-to-day business operations. Likewise, improving and maintaining your data quality is essential for business success.

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Susanne Morris

April 08, 2021

Data Storage: JSON vs. CSV

With the ever-expanding data landscape, understanding data storage is necessary for professionals working in data-driven businesses. There are many benefits to harnessing the power of different data storage formats.

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Susanne Morris

November 18, 2020

What is Lead Scoring?

Lead Scoring is an essential business process that involves marketing and sales teams within a business. This article will explore the details of lead scoring, why it’s important, and how to set-up a model that works best for your company.

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Susanne Morris

October 30, 2020

What Is Data Parsing?

Since the introduction of big data, the need for data extraction, analysis, and processing of data has become increasingly essential to companies across all industries. Data parsing is a great solution for managing this data.

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