How Can the Financial Sector Benefit From Alternative Data Collection?

This blog will take you through various kinds of data and their types. Also, how can you use that data to boost your financial business?

January 18, 2023

Our achievements in the field of business digital transformation.

We have entered an age of data and information, where people have embraced alternative data. Alternative data collection is more prominent in the financial sector than ever before. The reason for this is simple: it is a unique way to provide new insights that can optimize financial decision-making during market cycles.

This article will introduce alternative data, some of its benefits, and how they relate to your business’s bottom line.

What Is the Role of Data In the Financial Sector?

Financial institutions are facing a new era of innovation and disruption. Data is used as an asset and leveraged to create value, solve problems and make better decisions.

The financial sector is beginning to see the power of alternative data sources. It is also starting to realize that it has the opportunity to use these sources in different ways than it has traditionally done.

The idea that some data can be more valuable than traditional sources has existed for a while. Still, it has sometimes needed to be clarified how to deliver value from alternative data sources.

For example, many people believe that social media can provide insight into what customers want, but most banks still need to do something with this information.

What Are the Two Main Sources of Data?

When it comes to data, there are two main types of data. In the following section, we will look at those types of data.

Traditional Data

Traditional data is the most common source of information. It includes facts, figures, and other data you can use to make decisions. You can collect traditional data from surveys, interviews, or other methods.

Alternative Data

Alternative data is a term used to describe data you can obtain from non-traditional sources. Examples of alternative data include social media, financial statements, and customer reviews. These sources provide information that traditional business innovative tools need to discover.

Alternative data can help companies improve their marketing strategies and better understand their customers’ behavior.

Now that you know about the two primary data sources, we will dig deeper and learn about alternative data in the next section. So, let’s get started.

What Is Alternative Data?

Alternative data is any kind that does not come from a traditional source, such as an individual, organization, or government. It can be used to solve problems that traditional methods cannot solve.

Alternative data allows companies to identify trends, patterns, and behaviors like clicks, likes, and shares that traditional methods don’t provide.

Companies increasingly use alternative data because it gives them more insight into what their customers do online. For example, if you were interested in buying a new phone, you might look at reviews on Amazon or other sites before deciding.

Using alternative data means you can see how many people have bought phones in the past 12 months and how many reviews they had. You could then use this information to determine how likely someone will buy your phone too!

5 Types of Alternative Data

Alternative data is more than just another way of collecting or analyzing data. It’s an entirely different way of doing it that focuses on why you are collecting and analyzing data in the first place. These types of alternative data sources include:

Social Media Activity

Social media activity provides an intimate look into how people interact with each other and share information about people’s interests. Social media sites allow users to connect directly with each other by talking openly about their lives.

Sensor Data
This data comes from devices like smartphones or wearable technology that collect information about people’s activities and behavior. For example, if you have a fitness tracker that tracks your daily steps, you could use this data to determine the calories you burn during each activity session.

Credit Card Transactions
Credit card transactions provide a wealth of information about customer behavior, including purchase history and spending habits. This data can be used to build customer profiles to help predict future sales and sales revenue.

Online Reviews
Online reviews are the most popular type of alternative data source. They are easy to obtain and process. Reviews posted on social media sites such as, Google+, and Yelp are precious as they can provide insight into how customers perceive your brand across multiple touchpoints.

Geo-Location
Geo-location refers to the geographic location where a person or thing exists in space, such as where they are located on a map or when they were last seen. You can use Geo-Location in many ways, such as determining when consumers have visited certain stores or purchased certain items in recent months.

Benefits of Alternative Data In the Financial Sector

Now you might have understood the different types of alternative data. Let’s learn how these alternative data can benefit your financial business.

Gain Better Insight

The benefits of alternative data in the financial sector are immense. It can help you gain better insight into your client’s needs and what they want. This will help you tailor your services accordingly to meet their expectations.

For example, suppose you have been conducting a series of surveys on your market’s current state and found that one particular group needs help paying their bills. In that case, offering them a particular discount or another benefit can be helpful.

With this data, you can easily spot patterns and trends that will help you improve customer satisfaction and ensure your business is sustainable.

Strengthen Brand Image

The financial sector is known for its high-risk nature. With new technological advancements, data has become an asset that can be leveraged to strengthen brand image.

Alternative data is a valuable asset in the financial sector. It helps improve customer satisfaction and reduce risk by better understanding customers’ preferences.

For example, if you are a food brand with an app that allows customers to order food, you can use this to collect customer reviews and ratings of your products. Later, you can use those reviews and ratings to improve the quality.

Make Well-Examined Business Decisions

You can use alternative data to make well-examined business decisions. When you have access to large amounts of data from multiple sources, you can create an accurate picture of what’s going on in your business. This will help you make better decisions and make it easier for employees to do their jobs effectively.

Moreover, if you want to know about any suspicious activity at your company, you can use this data to determine who is doing it and what they might be up to. You could also use it to find out whether those employees are honest; this information would be helpful if they happen to be involved in fraud or other illegal activities.

Financial Data Scraping for Alternative Data Collection

What Is Data Scraping?

Data scraping is a process of extracting data from websites, APIs, and other sources by automating the process of extracting data. In other words, it is the process of extracting data from websites, APIs, and other sources by automating the process of extracting data.

There Are Three Main Types Of Scraping Techniques:

Web Scraping

This technique involves taking down the code of a website so that you can parse it and extract all information from it. Web Scrape is mainly used for web development, where you must extract data from websites without visiting them.

Web Crawling

It refers to finding information on any website using tools like robots and spiders. It helps gather data from multiple websites that can be later used in your application development projects.

Database Scraping: Database scraping is for extracting structured data from databases. You can do this manually by using a tool like Google Chrome or manually by using a script.

How Can Data Scraping Help You In Making Informed Financial Decisions?

Businesses are built on data. The more data you have, the better your decision-making becomes. But how do you get this data?

Data scraping provides the most actionable and valuable information from every part of your business, creating a snapshot of all happening at a given moment. And without needing to buy fancy software or employ a team of coders.

That super simple word – data – can be surprisingly powerful. Now all you need is the right Financial Data Scraping solution to sharpen the edge of your business. Enrich your business with unique insights with our data scraping system today.

Final Thoughts

Many of the key companies in the financial sector are considering ways in which alternative data collection can add value to their operations. Yes, this step might involve costs, but if it helps them increase efficiency, add value to their products and services, or meet compliance standards, the financial sector could see a huge boon in the long term. The benefits may not be immediate, but they’re likely significant to come.