Static Data Is Out: What is Dynamic Data and How Can You Leverage Its Structure?

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Data is a valuable asset for both companies and professionals in today’s digitally focused landscape. From learning new skills to implementing new operations, data is needed to succeed. Although data will remain important in the coming years, the evolution of technology is shifting how we perceive and value data.

What is dynamic data in the first place? This article aims to help you understand this topic and leverage its structure.


What Is Static Data and Dynamic Data?

Data can exist in different forms. Whether it’s through numbers, codes, texts, or images, data plays a crucial role in business operations. Many tasks are possible only because of the available data and information. Although data can be presented in different forms, there are only two types: static and dynamic. The main difference between static and dynamic data lies in how they react to changes over time.


What Is Static Data?

This is fixed information that isn’t expected to change any time soon. This type of data is commonly found in spreadsheets, databases, and archives. One example is your stored employee records. Although they can be changed when needed, they aren’t updated frequently. Personal information like name and payroll details are static and rarely change.

While static data provides stability and consistency, it has limitations in presenting constantly changing information. This is where dynamic data comes into play.


What Is Dynamic Data?

In simple terms, this type of data changes quickly. It involves real-time updates that you can base your decisions on.

For example, trading firms heavily depend on dynamic data to monitor stock prices and market trends. Many companies also use it to analyze their engagement metrics and marketing strategies.


The Preference for Dynamic over Static

Although many still use both types of data, the constant evolution of technology pushes professionals to prefer dynamic data over static data. Many businesses see the value of having real-time access to information that they can use to improve their operations.

WeForum shares that people all over the world will create an estimated 463 exabytes of data per day by 2025—or 212,765,957 DVDs made daily.¹ With so much data representing trends and behaviors in different industries, static data storage won’t be able to keep up. This causes a natural preference for dynamic data.

Whether you’re in healthcare, manufacturing, or finances, real-time data streams are critical for timely and wise decisions. They can also become an asset when planning resource allocations. While static types of data are still useful for certain operations like record-keeping, embracing dynamic data will bring more benefits to your organization.

Organizations that embrace dynamic data and develop the necessary infrastructure and skills to harness its power will be better positioned to remain agile, innovative, and competitive in an ever-changing business landscape.


Ways to Leverage Dynamic Data

When companies gain real-time insights into what their target customers like, they can respond quickly. Leaders gain the opportunity to capitalize on emerging trends and insights extracted from dynamic data.

But as a professional looking for a job, can you also benefit from dynamic data? The answer is yes! There are also ways to leverage this type of data, especially during your hunt for your next role. For example:


1. Find Open Positions in Real-Time

One of the most effective ways to use dynamic data is to find open positions. Since there can be many companies and roles in your chosen industry, job posts are constantly published.

New opportunities are continuously emerging, and your competition can be quick to take advantage of them. So, to become more competitive in today’s job market, you need to leverage dynamic data sources to quickly find the roles you’re interested in.

For example, you can practice using job search engines like Indeed to stay updated with positions that fit your skills and preferences. You can also partner with staffing firms that use dynamic data for their networks.


2. Monitor Industry Trends and Developments

Being ahead of the competition goes beyond knowing more job openings—it’s also about meeting their job requirements. You must gain knowledge and skills that are currently relevant in the market. This is why dynamic sources are essential for your journey.

You can learn about industry news and advancements using dynamic data storage websites. Even using social media can provide real-time updates on the best skills and technologies to master.

When you’re more knowledgeable about your industry, you can tailor your resumes and interview responses to become more relevant. You can also use the data you gain for future self-development.


3. Show Quantifiable Achievements

Employers typically look for candidates who can demonstrate measurable results. They focus more on your experiences and achievements than which university you graduated from. So, to become more attractive to recruiters, you need to include quantifiable achievements in your resume.

One practical approach is to collect and analyze data related to the projects or initiatives you’ve worked on. For example, if you’re a software developer, you could track your previous products’ user engagement and code quality scores.

By summarizing this information, you have quantifiable achievements to prove your skills and competence through interviews or resumes.


4. Create a Data-Driven Portfolio

What if you want to go beyond simple summaries of what you’ve accomplished? Consider using dynamic data to create a portfolio. Aside from helping you stand out, this can also highlight your talent and expertise.

A data-driven portfolio can include various dynamic elements like interactive visualizations, live dashboards, and compelling narratives. Using these can serve as one of the best proofs of your skills.

For example, a data analyst can incorporate real-time data feeds in their website portfolio. Even if you’re not an expert in creating websites, you can still translate dynamic data using tools like Angular.

Despite being a single-page application, you can still effectively display data from external APIs and the real-time sources you use. You can also customize how your portfolio will display your data.


5. Showcase Flexibility and Adaptability

Employers also value candidates who can demonstrate flexibility and adaptability. These soft skills can be showcased through different methods, but one of the most effective is using data sources.

By leveraging dynamic structures and data sources, you can prove your ability to navigate and thrive in dynamic and evolving situations. You can begin by highlighting experiences where you had to adapt your working processes.

Have you ever experienced shifting from static to dynamic data structures? If yes, this is the perfect time to highlight that situation.

Even simple situations where you’ve used real-time data to identify and adjust project plans can be used to prove your flexibility as a professional. Remember that employers seek people who can keep up with changing client and industry requirements.

Having experience in handling dynamic structures of data can show that you’re skillful, agile, and innovative, making you an ideal candidate in the eyes of recruiters.



With nearly two decades of experience, Strategic Systems has created valuable partnerships across North America and beyond. We strive to empower our professionals by connecting them with clients who need their knowledge and expertise.

Save time and effort by partnering with us today! Contact us to learn more.



  1. Desjardins, Jeff. “How Much Data Is Generated Each Day?” World Economic Forum, 17 Apr. 2019,


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