Carry out smarter competitive intelligence and make promising decisions as you invest with Glassdoor data. Distribute time smarter, analyze data quicker, and establish a balanced data supply during any future investment projects. Keep on reading to learn about the Glassdoor dataset, what data points can be useful for an investor, and some tips on working with Glassdoor data.
What is a Glassdoor dataset?
Glassdoor is a company review platform that displays information on crowd-sourced salaries, ex-employee company reviews, and an amazing amount of job postings around the world. With over 580,000 companies listed on the website, it is constantly getting more data on new market holders and updating information about the old and trusted companies.
As the data information reaches over 190 countries, there are plenty of researchers, investors, and communities conducting analysis of trends in labor economics, finance, and organizational behavior. A study conducted by Forbes has found that approximately 87.8% of companies have increased their investments in some sort of data.
While different industries find different data sources more useful for their research, investors can truly learn a lot from a Glassdoor dataset. The dataset contains all platform information gathered, cleaned, and sorted in one file, which makes it simpler for analysis, provides only up-to-date details, and saves the time of investors who are still scraping data for hours on end.
Glassdoor Data Useful For Investors About Their Potential Investment Companies
Glassdoor is filled with data about companies, but here is a list of data points that investors can find especially useful in the Glassdoor dataset.
- Management. Investors can analyze a company's management system by simply analyzing what employees and former workers have to say about the company, how can they rate the work culture, their satisfaction, and management effectiveness. This is the type of data that implies how a company will treat its investors.
- Company Benefits. With the information that employees include, Glassdoor detects a company's average salary, healthcare, retirement plans, stock options, and paid leaves. This type of data is viable for an investor to analyze all sources of income and expenses.
- Revenue Range. With all review data provided to Glassdoor, the datasets can often provide some general financial information about a company, such as its revenue range and what factors seem to affect it. Investors can use this information to predict how a company will react to its budget in the worst-case scenario.
- Company Rating. Glassdoor often mentions CEO approval ratings of companies, as well as rating comparisons with other companies, which helps visually identify the strengths, weaknesses, and troubles of a company.
Best Practices When Using Glassdoor Data For Investing
Every investment project deals with large volumes of data, often times they can get overwhelmed with the amount, others can lose important deals, and some simply don't know how to apply it. So here we have collected some of the best practices and tips when using Glassdoor data to make investment decisions.
Choose The Right Software
The very first step to accessing any data is choosing the right software to do so with. There are investors who choose to collect data themselves and others who use scraper tools, but what we truly recommend is a Glassdoor dataset.
AI software has a market size of $34.9 billion and an annual growth rate of 41%, which clearly indicates how big technologies have become. With a dataset, you are not only saving your time scraping data, but you also don't have to worry about any out-of-date data.
Establish a data filter
Even though Glassdoor datasets are organized the amount of information featured can get overwhelming for investors, so it's important that they establish a filter for companies that they analyze. For example, they can filter out companies by their size, industry, years in business, employee amount, and CEO rating.
Even though you might be afraid to miss a great opportunity by filtering out companies, you’ll have much more free time to spend on analysis of the companies that actually meet requirements.
Visualize data insights
As the investor trims down its company candidates, the final choice can get very tough, that is where we recommend visualizing data. A recent survey found that out of 500 business leaders, 90% said that data democratization was a priority for their business. Data democratization allows for data to be visualized and analyzed more easily.
When data is in the form of a graph or chart that you can compare side by side, it can be much easier to decide which company is actually the better fit for your investment interests.
Using Glassdoor as a data source is a great idea for investors, it is full of insight about companies, reviews, employee management, etc. For even easier access to data, investors should use Glassdoor datasets, which allow them to leverage the data efficiently. Glassdoor data is a valuable resource for investors which will help them navigate complex decisions, and ultimately lead to more informed and successful investment decisions.