Implications of Data Visualization In Data Analytics

Implications of Data Visualization In Data Analytics | Business Analytics | Emeritus

Right now, data is everything. In all its bits and pieces, data is the source of so much valuable information. Information that is priceless to businesses. It can be your customers’ data or yours, but it needs to be collected and analysed so that it can be presented when making decisions based on data. Since the data presented needs to be understood by the executives, visualization in big data analytics is a very important part of businesses.

It is a certain fact that 90% of the data ever created in the world has occurred only in recent years. This amount is only going to increase exponentially in the coming years. So, it is high time to understand the possible implications of visualization in big data analytics.

What is Direct Visualization in Data Analytics?

The greater the amount of data collected, the greater the authenticity and precision of the story being painted with the help of that data. Some time ago, data was difficult and expensive to be found. But, with the advent of digitalization, finding data has become easy and cheap.

However, it has also become very hard to process. Processing data nowadays is almost the same as looking for a needle in a haystack if we depend on conventional methods like Excel sheets. This is where the concept of artificial intelligence and big data comes in. 35% of the companies worldwide have already adopted AI, and 42% are looking to do so.

The amount of credible information has become so great that the traditional software solutions that were used to store, channel, and analyse it are insufficient now. Data scientists are pushing the limits every day in search of ways to process this data. The combined efforts of data analysts in the field of management or Science have given a lot to related software usage, direct visualization in data analytics, and modern business.

Data visualization is the next step after data analysis, as the analysed data needs to be understood as well. Information visualization in data analytics is the process of taking the raw input data and turning them into charts, graphs, videos, and images which explain the data in a visual form.

The best part is the short amount of time that it takes to make an informed decision after seeing the data visualized. It can even help you discover new trends which were previously lost in the big heap of unfiltered data. Information visualization in data analytics of businesses gives actionable and clear insights about the processes. Thus, it almost automates the processes in a business.

Data Visualization and Analytics Tools

If you are still making use of spreadsheets for your business management, and you’re making use of all the raw data, then you must be really intelligent. If not, it is high time to explore some visualization of data analytics tools. If you have terabytes of raw data sitting unused, then it is a burden. It needs to be put to use so that it can be analysed into something valuable.

In the current era, for that purpose, big data and machine learning is often combined. When we make use of such combined technologies in the business, it is referred to as Business Intelligence (BI). There are multiple BI or visualization of data analytics tools available today. You can use independent tools which are specifically designed for data analysis and visualization. These tools stand out because of the intersection of tools for complex data analytics and tools for interactive visualization.

Different Interactions with Data

There are several techniques by which data can be represented. It can be shown in a simple line graph, and in interactive 3D designs.

  1. Simple Graphics: Histograms or line graphics. If the data is represented between two-axis and making reference to one or two of the attributes is required in this form of interaction.
  2. Using Presentation: Videos or images that are rendered from data analytics software. Generally, an image or video output is played or printed.
  3. Creating Interactive Data Visuals: There are many visualizations in data analytics software that can import our data file and visualize the output in a way we need with an interactive surface.
  4. Real-time Data Visualization: With the advent of computing systems, real-time data visualization has become very cheap and handy. Not only in real-time, but with a depth of a timeline, sometimes some data serves a greater purpose.
  5. Dashboards: Dashboards are a unique interface that includes data in separate areas and then displays them as ‘cards’ in front of each user’s convenience. Dashboards are powerful real-time tools in businesses that help in analysing and visualizing data at the same time.

Visualization in Data Analysis: Benefits in Businesses

You cannot always connect with your data if you are just looking at a bunch of unfiltered and raw numbers. But data helps in unlocking discoveries and insights about the business. These insights are extremely beneficial for businesses as it helps in making the following things sustainable and predictable:

1. Financial Reports

Visualization in data analysis can be extremely beneficial for financial reports because reports can be put into visuals easily if you can find trends and patterns in the data clearly. Finding these patterns and trends becomes much easier with data visualization and analytics.

2. Dashboards

When dashboards are arranged and customized, then they serve the customer in higher records.

3. Sales and Marketing

As you continue analysing and visualizing the data, proper trends will emerge from it that will help in creating marketing and sales strategies to help the company move forward.

4. Human Resources

Visualization in data analysis helps in learning the management reports and talents of the team properly.

5. Project Management

Visualization of data used in the management of a project can help in spotting gaps and hurdles faced by the project much more easily.

Conclusion

The implications of data visualization in big data analytics are unlimited because data these days is unlimited. So, unlock insightful patterns and trends in your data that can help make informed decisions for your business with the help of data analytics and visualization. Emeritus India can help you upskill and accelerate your career.

About the Author


Senior Content Contributor, Emeritus Blog
Varun, a seasoned content creator with over 8 years of diverse experience, excels in crafting engaging content for various geographies and categories. Leveraging this expertise, he seamlessly translates complex concepts into enriching educational content for the EdTech domain. His keen understanding of research and life experiences helps him resonate with students and create fact-based content. He finds solace and inspiration in music, nurturing his creativity for content creation.
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