Big Data and Analytics – Nobody you ask is likely to argue with you on this. When information is acquired in stacks or bundles without proper organization, it presents a significant challenge. It might be challenging to decipher huge data and hear what it has to say.
Because of the sheer volume, the conversational data becomes a major distraction while working with huge datasets. There is no clear direction because of the overwhelming din. Moreover, it is at this stage that many businesses run into trouble.
In a time of crisis, everyone looks to their leaders for guidance. You take in data, process it, apply what you’ve learned, and modify your approach as necessary….
In this installment of my “Under the Spotlight” series, we’ll take a look at how some of the most successful companies are using big data and analytics to their advantage by isolating the useful information from the irrelevant.
Spread across across the aerospace, sporting goods and entertainment, life sciences, and government sectors are these people.
Airbus Leveraging Big Data and Analytics to Improve Customer Experience
For more than four decades, the Airbus Group has been at the forefront of the aerospace industry as a designer, manufacturer, and innovator of cutting-edge products and services.
Airbus is in a complicated and highly competitive business, so it needs to be at the top of its game in terms of efficiency, productivity, and innovation to give its clients with an unparalleled service experience. Big data and analytics are helping the organization in this respect.
Airbus is integrating the discovery, navigation, analysis, and contextually appropriate view of over 4TB of indexed data dispersed across several business divisions by adopting IBM InfoSphere Data Explorer. The service staff then has access to this wealth of data via a centralized database, which is crucial for the timely implementation of airline maintenance plans.
Vice President and Head of New Business Models and Services at Airbus Group Leonard Lee recently noted in an interview, “We have a ton of data.” One may even have a conversation with an aircraft. Daily, it produces many petabytes of data. Unfortunately, only 2% of the data collected is now being used productively in the aerospace sector as a whole. Therefore, we want to use the abundance of knowledge included in that data to build programs like predictive maintenance, which will aid in enhancing our client experience. In order to “help our clients get their planes back in the air as soon as feasible.”
Because of only one use of big data and analytics, the corporation has been able to save almost $36 million in a single year.
The firm has reduced the time it takes to manufacture aeronautical units thanks to big data and analytics, which is a huge boon for the company’s clients.
Employees from different departments may share real-time updates on the progress of a project across all shop floors, due to the digital solutions provided there. Distributed workers can benefit from this data’s dissemination, as less paperwork checks are required, and a more proactive production strategy can be implemented. This newly manufactured production model formed the basis for the H160 helicopter, the newest Airbus rotorcraft, which made its debut earlier this year.
According to Lee, “what we are aiming to achieve with our digital transformation initiative is to establish digitally-enabled, data-driven business models.” Lee said, “We are working with strategic partners like Palantir and others to include layers of analytics, machine learning, and artificial intelligence into our products, allowing us to improve the experiences we provide to our clients.”
NFL Teams Can Now Use Big Data and Analytics to Boost Results
In April, the NFLPA announced a new relationship with WHOOP, a producer of electronic apparel. The group joined forces to give the athletes access to monitoring devices that would reveal trends in their health and performance.
Athletes may monitor their progress and recovery with the help of the WHOOP gadget, which can be worn on the forearm, wrist, or bicep.
- Both coaches and players may use it to track their sleep habits and see how they stack up against recommended limits.
- Athletes may use this to track how much their muscles are being stressed and make adjustments to their training to speed up their recovery and prevent muscle tears.
- Coaches must monitor each athlete’s individual workload in order to create individualized training plans.
Bioethicists Katrina Karkazis and Jennifer Fishman wrote an article discussing the merits of this novel approach, concluding that the use of biometric data technologies in professional sports could reduce injuries, enhance performance, and lengthen athletes’ careers if done so responsibly and ethically.
For former NFL linebacker Isaiah J. Kacyvenski, “playing football is a profession for us—athletes,” when asked about the idea. I used to use my physique like a billboard when I was a football player. Your ability to improve the quality of your job should be recognized and rewarded.
The NFLPA has said that players will control all collected data and insights and can use or sell the data for any purpose they see fit. The notification stated that the use of the gadget during a game would be considered illegal.
Big Data and Analytics May Help Cure Cancer
The commercial world, the sports world, and even the biological sciences are all making use of big data in various ways. The goal of the life sciences field is to extend the healthy lifespan of the human population by increasing our understanding of how the body works and how to keep it healthy.
The human body is an intricate network of interconnected cells, tissues, and organs held together by a wide variety of biological substances. Our DNA has a collection of genes that regulate the activation of this system.
Consider the following to have a quantitative grasp on these particulars and complexities:
- The human body is home to an incredible 37.2 trillion cells.
- The number of atoms in a single cell is around 7 billion.
- About 20,000 genes may be found in a single human cell.
Petabytes of data may be found if you check into each of these aspects.
This exemplifies the massive amounts of information that life scientists routinely deal with and attempt to make sense of. Instead, business can handle it. The company is optimistic that the use of big data and analytics can hasten the development of treatments for a wide range of disorders, even something as complex as cancer.
In an interview with Chicago Inno, Robert Grossman, leader of the Genomic Data Commons project, said, “By leveraging big data and analytics, we can begin understanding the fundamental facts about tumor growth, how heterogeneous tumors are, and what their targets are, so that we can develop new drugs that work for specific tumors with specific genomic signatures.”
What exactly is the Genomic Data Commons?
The Genomic Data Commons initiative began in 2015 with the intention of making cancer data accessible to researchers throughout the world so that they may contribute to the results and speed up the hunt for cancer cures. One of the largest open access repositories in the world is housed at the University of Chicago.
Grossman speculated that “on the scientific side,” most cancer researchers find the sheer volume of data irritating. They want to use all of the data at their disposal, but the effort required to build up an environment, manage it, keep it safe, and ensure compliance is too great. It is our obligation to consolidate big public research data sets, perform standard analyses on them, and make the results easily consumable by the research community.
The team is certain that they have the resources to disclose findings achieved with the help of GDC within the next six to nine months, despite the fact that the project was initiated a year ago.
Government Agencies Using Big Data and Analytics to Keep Citizens Safe
For the sake of the public good, it is crucial that different branches of government cooperate and share information with one another.
All levels of government in the United States, from the federal to the state, have made an honest attempt to meet their obligations. And now they’re employing big data and analytics to back up their efforts and improve their entire approach. Data and analytics is not a novel subject for government officials.
Implementing big data and analytics solutions that give quicker and more precise insights, allowing agencies to respond proactively and swiftly, is a challenge in this era of increased data volume and tightening budgets. One such system that has been put into practice is Fujitsu’s SPATIOWL.
In metropolitan regions, sensors provide back to the platform information on traffic patterns and other transportation details. It will be feasible to utilize this data to pinpoint high-traffic locations where accidents are more likely to happen and implement safety measures to limit the number of incidents.
Another example is enhancing catastrophe preparedness and response times by using big data and analytics to foresee and prevent natural disasters. The government is taking use of new technologies to obtain high-resolution satellite photos and seismic data. By analyzing this information with the help of machine learning and artificial intelligence, we are able to spot trends and foresee natural disasters.
In addition, platforms are being combined with predictive disaster algorithms, allowing government agencies to monitor in real time the numerous delivery channels that make disaster management services available to the public. As a consequence, the standard of such services has increased.
The challenging yet exciting field of big data and analytics. Businesses and organizations may utilize the information gleaned from this tool to better understand their target audiences, streamline their operations, and boost production and efficiency.
Of course, that presumes a tolerance for the discordant soundscape. And on the basis of these examples, there are very few who would disagree.
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