How Organizations Use Big Data to Make Decisions | iCert Global

Daily, individuals across the globe generate a tremendous amount of data—2.5 quintillion bytes. Currently, companies can collect various types of data from various sources such as websites, apps, social media, phones, blogs, and historical records. However, collecting this data is not sufficient for a company to generate. Companies must analyze and interpret the data in order to convert it into actionable ideas that can assist them in making informed decisions.

1. Leverage Live Data to Wow Customers

One of the biggest objectives of any company is to make people happy as customers and bring them back. Now, businesses utilize real-time information to understand what their customers require and deliver that to them.

Why It Matters:

• Improved Service: With real-time data, stores know what the customers like and what they don't.

• Higher Loyalty: Individuals come back more frequently when they are encouraged by rewards they care about.

•Staying Resilient in Challenging Times: Kroger profited even in the global recession by using data wisely.

•If a company is aware of what its customers need, then it can perform well and remain stable even during difficult times.

2. Getting a Company to Work Smarter (Operational Efficiency)

Another means through which big data helps is by simplifying day-to-day business activities, making them faster and cheaper. Companies can automate tasks, make them safer, and save resources through sensors and intelligent systems.

Example: Tesla Vehicles

Tesla, the electric vehicle company, is proficient in leveraging data. Tesla vehicles are equipped with sensors that collect data as they move. The data is transmitted to Tesla servers, where experts interpret it. According to this data:

• Tesla improves how its cars perform.
• Drivers are alerted if their vehicles require repair or maintenance.
• Tesla updates its vehicles with new features through software.

One of the most incredible aspects of Tesla vehicles is their autopilot feature. Tesla vehicles can drive, lane change, and even park by themselves. How is this possible? The vehicles upload their driving information to the cloud (internet servers). Then Tesla uses that information to create highly precise maps—these are described as being 100 times more precise than standard GPS systems.

Why It Matters:

• Saves Time: Cars only go to repair shops when they absolutely need to.

• Always Up-to-Date: Tesla upgrades its vehicles with over-the-air updates.

• Comfort and Safety: Autopilot enables more comfortable and secure driving.

•Big data helps Tesla improve daily and keeps its customers content by making intelligent, secure vehicles.

3. Growing Without Spending Extra Money

Overall, if a firm wishes to expand, it requires more money, personnel, and resources. However, through big data, firms can become intelligent, rather than larger.

Why It Matters:

• Cost Saving: The firm did not need to construct additional towers or employ many more staff.

• Satisfied Customers: Fewer network issues equal improved service.

• Smart Growth: They grew based on facts without making large investments.

Big data helped Sprint grow without having to spend too much more money, by leveraging what they already had more efficiently.

Why Big Data Is So Powerful

Let us discuss why big data is extremely helpful to companies now:

• Businesses no longer need to wait They are able to make quicker decisions with real-time data.
• Affordable They make the most of what they already have, instead of spending additional money.
• Information makes products and services that are perceived as customized for every individual client.
• Planning the Future
• Analysis of past data helps in predicting future trends and planning for betterment.

Why should we prepare for a big data job?

Big Data is transforming the way almost every profession and business is conducted nowadays. From medicine to finance to entertainment, using data enables individuals to make better decisions and achieve better outcomes.

If you are looking to develop your career, studying Big Data can be an excellent idea. Here's why:

1. Big Data careers are increasing exponentially.

The last five years have seen an enormous upsurge in Big Data jobs. The majority of organizations today are looking for candidates who are capable of collecting, analyzing, and using data to resolve issues.

A report from McKinsey Global Institute noted that by 2018, the United States could be short on as many as 1.5 million data analysts. That is, there are more positions available than there are qualified professionals to fill them—so learning these skills is a great time to do it.

2. Numerous Job Prospects in Big Data

After you learn Big Data skills, you have a choice between different job roles. Some of the best-known job titles are:

• Big Data Engineer – creates tools to gather and store data in large amounts.

• Analytics Associate – assists companies in discovering valuable trends in information.

• Metrics and Analytics Specialist – monitors performance and provides insights to enable companies to grow.

3. Big Data Experts are Remunerated More

Another excellent reason to devise a Big Data career is the increased compensation. Big Data specialists typically command a greater salary than other IT specialists.

4. Remain Relevant in Any Profession

Regardless of the industry you're in, marketing, healthcare, manufacturing, or otherwise, Big Data is useful everywhere. This is why businesses are looking for members who can work with data.

By getting Big Data expertise, you can:

• Maintain pace with job market changes.

• Help your company to expand through improved decisions.

• Build a improved future for yourself in whatever profession you choose.

How to obtain Big Data Certification? 

We are an Education Technology company providing certification training courses to accelerate careers of working professionals worldwide. We impart training through instructor-led classroom workshops, instructor-led live virtual training sessions, and self-paced e-learning courses.

We have successfully conducted training sessions in 108 countries across the globe and enabled thousands of working professionals to enhance the scope of their careers.

Our enterprise training portfolio includes in-demand and globally recognized certification training courses in Project Management, Quality Management, Business Analysis, IT Service Management, Agile and Scrum, Cyber Security, Data Science, and Emerging Technologies. Download our Enterprise Training Catalog from https://www.icertglobal.com/corporate-training-for-enterprises.php and https://www.icertglobal.com/index.php

Popular Courses include:

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• DevOps

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The 10 top-paying certifications to target in 2025 are:

• Certified Information Systems Security Professional® (CISSP)

• AWS Certified Solutions Architect

• Google Certified Professional Cloud Architect 

• Big Data Certification

• Data Science Certification

• Certified In Risk And Information Systems Control (CRISC)

• Certified Information Security Manager(CISM)

• Project Management Professional (PMP)® Certification

• Certified Ethical Hacker (CEH)

• Certified Scrum Master (CSM) 

Conclusion:

Big Data skills are much sought after in every industry. They open up improved job prospects and higher salaries. Workers who acquire these skills remain in the competition and grow professionally. Preparing for a Big Data profession today amounts to creating a better tomorrow.

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