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3 Ways In Which Big Data Has Changed Financial Trading For Good

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3 Ways In Which Big Data Has Changed Financial Trading For Good


Big data is one of the latest internet-powered developments that has caused an enormous impact across nearly all industries over the last couple of decades. The term big data alludes to the colossal amounts of information constantly collected by search engines and websites as people continue to use the internet for various purposes. This data consists of all kinds of information like numbers, images, tables, audio and video files, and every other possible type of information there is. As a result, big data analytics involves utilizing different analytical methods to obtain value from this colossal amount of information so that individuals and organizations can make better-informed decisions regarding all kinds of life and work events.    

And whether you realize it or not, big data is making a significant impact on the global financial markets as well. As the exponentially increasing complexity and data generation are dynamically changing the way various industries are working, it’s significantly changing the financial sector for good. To make things clearer, in this article, we’ll review the three ways in which big data has altered the financial trading industry to help humans make better and more prudent decisions when trading.

How Big Data Is Taking The Financial Industry By Storm

Every day, the world is creating roughly 2.5 quintillion bytes of data. This whopping amount of data represents a fantastic opportunity to leverage this information in various ways by processing and analyzing the ever-growing sets of valuable data.

Nowadays, both finance and trading demand a lot of accurate data on display to make the best models and predictions based on real data analysis. While in the past, these numbers had to be arranged, categorized, and analyzed by real people, presently, this entire process is automatically calculated by machines and intelligent NLP-powered algorithms from start to finish. And because computers can go through the data and accurately process it and analyze it at a vast scale; as a result, much more precise and up-to-date stock or options selections and models can be made thanks to real-time analytics and the possibility to compare historical option prices, implied volatility, risk metrics, and others, all derived from the big live data that support the most sophisticated trading systems and platforms.

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To get an even better perspective of how big data has changed the world of trading, continue reading to uncover the main ways it’s doing so.

The Creation Of Financial Predictive Models

In this day and age, the analytics behind the financial industry is no longer just an examination of the different prices and price behavior. Instead, they generate much more helpful information, including trends and everything else that could impact the financial and trading sectors.

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These analytics are more precise and include more data that permits better predictive models to be created. These models can help traders make better financial predictions and effectively minimize the risk of making bad financial trading decisions.

Allowing For Real-Time Analytics

In case you didn’t know, algorithm trading is something that’s particularly buzzing around the financial sector right now. In fact, machine learning has taken such a giant leap forward, allowing computers to make much better decisions than a human would. Furthermore, machine learning-powered algorithms can finalize trades much faster and at frequencies that people would never be able to achieve.

This is all possible thanks to real-time analytics, as computers can incorporate the best practices and minimize the number of mistakes that could end up being caused because of inherent behavioral influences that would typically impact humans. In addition, this real-time analytics can effectively maximize the investing power that individuals and companies have by creating a leveled playing field where more parties have access to the correct information.

Provide Next-Level Risk Assessment

Big data is also essential for many actuarial processes. For example, financial institutions can use data analytics to develop better predictive models to identify better the risks associated with lending and precisely project the foreseen expenditures through insurance policies. This could be very well implemented in trading scenarios, where traders can use predictive models to assess the risk connected with investing in a given stock, option, or feature.

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Final Thoughts

As you can tell, big data impacts how financial trading transactions get carried out in numerous ways. For example, it helps to make faster and more accurate trades, effectively reducing the risk of each trade while maximizing the profitability of trading strategies and scenarios.

Nevertheless, it’s also noteworthy to say that big data analytics can’t perfectly predict market scenarios all the time. Like anything else in this world, big data has imperfections like the incompleteness of data patterns. But, in total, big data analytics present far more benefits than disadvantages to financial trading, which is precisely why it’s becoming an inevitable necessity for financial trading.



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How to Use Product Synonyms to Build Use Case Awareness & Scale SEO

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How to Use Product Synonyms to Build Use Case Awareness & Scale SEO

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

Let’s move back in time to your third grade English class — lesson of the day: synonyms.

Synonyms (not to be confused with cinnamon) are words that have a similar or the same meaning as another word.

But, you already know this. What you might not know is how synonyms help you build use case awareness.

It all comes down to talking about your product in multiple ways, all of which are useful to your target audience. By expanding the ways you talk about your product, you attract more users, which in return scales your SEO strategy by giving you more relevant keywords to rank for (ideally even with high purchase intent – yes please!)

In fact, by finding and targeting product synonyms, you can even tap into a new unique selling point for your target market.

Let’s find out product-led SEO with synonyms can slingshot your growth forward.

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What is the value of synonyms for SEO?

First off, using synonyms is a common SEO best practice recommended by Google.

SEO guru and webmaster trend analyst, John Mueller, explains how synonyms work, particularly in connection with search intent and context:

…especially when you’re looking at something like ‘edit video’ versus ‘video editor,’ the expectations from the user side are a little bit different. On the one hand you want to edit a video. On the other hand you might want to download a video editor. And it seems very similar but… the things that the users want there are slightly different.”

So, when it comes to using product synonyms to scale your SEO strategy, the key is to align user search intent with a product use case that helps them.

I’d like to highlight how well this works not just for e-commerce, but also B2B, because those are the businesses that often struggle the most with low product-related search volume, making it seem like SEO just isn’t worth it. To add to that, there’s often a gap between what your audience calls your product and what you call it internally, so this strategy ensures both angles are covered.

Do this over and over again and not only will it expand your brand awareness, but it’ll also take a niche product with low search volume and turn it into a lead and sale generator — all from compounding hundreds of thousands of organic monthly searches (or more, depending on the topic).

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Let’s go over some examples.

Examples of product synonyms for SEO

A use case (or a roadmap for how your audience will interact with a product) is a fantastic way to apply product synonyms. If people learn how they can use your product, the more likely they’ll feel it’s relevant to them. The more detailed the use case, the more personal it feels to the reader.

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Examples of product synonyms in e-commerce

Product synonyms for e-commerce are pretty straightforward. For example, “occasionwear,” “wedding guest wear,” and “party wear” are all product synonyms that can be found as focus keywords at a made-to-order men’s suits store.

An online sport store may use synonyms such as “tennis shoes,” “sneakers,” and “trainers” to capture all target markets, for different levels of athletic wear.

Now let’s put it into practice.

What product synonyms would you use for “webcam” and “Bluetooth headphones”?

Maybe, “streaming camera,” “e-meeting camera,” or “Zoom camera”?

For Bluetooth headphones, what about “impermeable headphones” or “running headphones”?

It’s all about the use case that matches the same search intent.

Examples of product synonyms in B2B

In B2B, use cases become even more relevant, because one of the most common questions in the buying cycle is: “Is this truly relevant for my particular business?”

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Take a look at these phrases:

  • Conversational AI chatbot

  • Customer support automation

  • Product recommendation software

  • Omnichannel engagement platform

Even though these have vastly different use cases and are semantically different, the technology used produces the same outcome as what each phrase describes. In fact, it’s actually the exact same product (in this case a chatbot), only described with a different phrase. 

The trick in this particular example is to talk about how the main product, the chatbot, relates to all the above phrases. Rinse and repeat and now you’ve gone from a niche product with limited search volume to HubSpot level organic traffic — all of which is highly relevant for your target audience.

How to find & rank for product synonyms

Finding synonym opportunities for products requires a deep understanding of the market and the search behavior of buyer personas. In other words, learn what your audience wants and explain how your product gives them that in multiple ways.

Understand your product use cases

Let’s start with your product use cases. Where should you begin?

First, compile all related brand themes and then build topic clusters based on that.

Let’s say you sell eco-friendly swimsuits for all types of bodies and your topic clusters focus on eco-friendliness and swimsuits per body type. All topic cluster pages are connected to the central brand themes and your products, but talked about from different angles.

In B2B, it’s common to cluster product use cases by industry or method. For example, the “conversational AI chatbot” mentioned earlier might target e-commerce managers, while “customer support automation” is a use case aimed at customer success. In the same way, “product recommendation software” grabs attention from a product team and an “omnichannel engagement platform” captures the marketing team.

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With only these few keywords, we’ve described how nearly an entire business benefits from using a chatbot — sales here we come!

Benchmark competitors

Aside from generally making note of words that are being used on their website, it’s helpful to perform a competitor keyword gap analysis. This helps you determine words they’re ranking for that you aren’t (yet), which helps inspire new use cases.

Moz Pro dashboard for ranking keywords

Understand the language of your audience

Do some research to see how your target audience refers to your products in their own words. Often in B2B there is a big gap between their descriptions and yours. Take note of the words, phrases, and any other insights pertaining to the language being used.

Some places to poke around include Slack communities, social media (especially LinkedIn), and Reddit. Don’t shy away from in-person events, too! When you talk like your audience talks, you’ll resonate with them because your products are simple to understand. Walk their walk, and talk their talk!

Pro tip: Talk to your customers on a regular basis! Ask to set up a 15 minute feedback session and record it. It’ll bring you massive insights about how they talk about and use your product.

If your business is big on social media, then social monitoring and listening tools will be crucial for compiling lots of information quickly. Social monitoring obtains information that has already happened in the past, while social listening keeps an ear out for current conversations about your brand. Hootsuite offers an extensive social monitoring tool to “dive deep beneath the surface”, while Talkwalker offers social listening so you can keep up in real time.

Review People Also Ask and related searches

Google SERP features are a treasure trove of synonym opportunities. If you’re looking for “shoes”, you’ll probably see people are also searching for “sneakers”, “tennis shoes”, etc. You can use this feature to understand user search intent (which will help you find more aligned synonyms) and ensure you create the right type of content based on what’s already ranking.

The People Also Ask feature is similar to the “related searches” at the bottom of the SERP, and you can also use this to curate synonyms. 

Last but not least, utilize the auto-complete feature that suggests what you might type in the search bar:

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Google search for

Pro tip: Use AlsoAsked to dig a bit deeper into the People Also Ask questions from your potential consumers, and export the data graphically and in bulk. Answer all those questions and that’s a clear path toward SEO scalability!

Do keyword research

Without keyword research, creating your content and optimizing for SEO is like throwing spaghetti at a wall and hoping that it sticks. Use a keyword research tool like Moz to find keywords based on use cases. This ensures the keywords are relevant, have search volume, and have relatively low competition. For a more in-depth guide on keyword research, be sure to check out this guide!

Once you’ve finished keyword research, turn the semantically-related keyword groups into clusters to create individual content pieces for each cluster. 

Differentiate keyword placement based on your site structure

All websites have core product pages, so the exact match of high-purchase-intent keywords should go on those to maximize the potential for sales.

Product synonyms that are semantically unrelated, but still have a relevant use case, can go in an area like the blog, where you can explain them more thoroughly and then link back to your core product pages to incentivize conversions.

To go back to the chatbot example, “conversational AI chatbot” works best on an evergreen product page, while “product recommendation software” might make more sense in the blog, because you’ve got to give some explanation about how the two are connected.

Let us wrap this up with a quick recap

First off: why use product synonyms? Synonyms for SEO increase the relevancy of your product pages for a specific search query. At the same time, they can also help you scale out content strategies in the future, thus strengthening your SEO game and brand awareness.

But never forget, first you must understand your product use cases. How do your customers use your product? How do they describe it? Go deep into this process to get those granular details. Look around to see what language your customers are using, scope out your competitors for inspiration, and do some extensive keyword research. Review the People Also Ask feature and related searches to gather more information and ensure you differentiate your keyword placement based on your specific site structure.

Now you’ve got the basics of using product synonyms to build use case awareness. Class dismissed!

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