WHAT IS BIG DATA?
Big Data is a term that describes the large volume of data, both structured and unstructured, that floods a company on a day-to-day basis.
But it is not only the amount of data that is collected. What organizations do with the data is what matters. Big data can be analyzed to gain insights that lead to better business decisions and strategic moves.
Managing large amounts of data helps organizations create new growth opportunities and develop new products.
New types of companies are also emerging that analyze and combine industry data thanks to Big Data.
These companies capture and analyze information about products and services, buyers and suppliers, and consumer preferences.
The use of Big Data is becoming common, and more and more companies are assuming it as a method to outperform their competitors.
In most industries, existing competitors and new entrants use the strategies resulting from the analyzed data to compete, innovate, and create value.
WHAT CHARACTERIZES BIG DATA?
There are several characteristics that Big Data has. One of them is the volume of data you own. In other words, it refers to the unimaginable amount of information generated every second from social networks, telephones, automobiles, credit cards, M2M sensors, or any device capable of assimilating data.
Organizations use that data to try to leverage and improve decision-making across the enterprise.
Another characteristic that defines Big Data is the speed of movement of the data. Velocity measures how quickly data is produced and changed and the rate at which it must be processed.
Data movement now occurs in near real-time, and the update window has been reduced to a fraction of a second.
Due to this real-time nature of data creation, companies have invested heavily in developing solutions that could incorporate streaming data into business processes and decision-making.
Variety is another of the characteristics, and they are defined as the different forms and types of data that it has. They can be structured, semi-structured, or unstructured.
Structured data is data that can be organized in an orderly manner within the columns of a database. This data type is relatively easy to enter, store, query, and analyze.
Unstructured data is harder to sort and extract value from data. Examples of unstructured data include:
- Emails, social media posts, and word-processing documents.
- Audio, video, and photo files.
- Web pages and more.
As semi-structured data, the schema is not defined correctly, i.e., both forms of data are present.
Semi-structured data has a structured form but is undefined, for example, JSON, XML, CSV, TSV, and email.
WHY THIS TOOL IS CHANGING THE BUSINESS WORLD
The number of Big Data companies in the USA and globally continues to grow. There is no doubt that the massive rise of smartphones has changed the world as we know it.
The increased number of connected sensors and devices has produced mountains of data. This is being used to become an even more crucial component of the business world. If you need more time to be ready for how big data affects your business, it’s time to start looking ahead.
First, Big Data platforms will allow companies to improve inventory management through predictive analytics.
That process evaluates numerous factors, such as weather patterns, seasonal trends, and historical sales data. It is done to assess what a company needs to do to have adequate store stock levels.
Therefore, companies have a better chance of striking a balance between selling too fast and disappointing customers or having too much unsold merchandise.
With organizations’ increasing use of Big Data, the need to hire personnel who understand it grows.
For example, the so-called Data Scientists are a relatively new professional field, and the demand for this type of profile is high, partly because there is a need for more talent.
Today’s organizations strive to obtain the best talent in the market. In another order of ideas, this technology and Artificial Intelligence have also facilitated this recruitment process.
The time and effort they put into evaluating and vetting candidates with automated applications has been reduced.
Another aspect in which transformation has been carried out in the business world is customer behavior analysis.
The unique predictive analytics feature helps an organization understand the changing needs of its consumers. These programs save customer information and analyze this data to predict customer behavior.
Big Data has also changed the way we fight fraudulent behavior. These tools determine the characteristics of individuals intent on defrauding companies by looking at patterns in insurance claims or customer bills.
Data collection and analysis better positions companies to take decisive action and keep a close eye on potential fraud, so they don’t slip through the cracks and do harm.
HOW DOES BIG DATA AFFECT THE ACTIVITY OF A COMPANY?
Analyzing the data sets that a company collects is only one part of the Big Data process. Experts in this field must also understand what the company wants to gain from the analysis exercise and how they intend to use the information to their advantage. But how does Big Data affect the activity of a company?
This technology helps companies to improve decision-making. With so much information available, it can help companies speed up their decision-making process while remaining confident in their choice.
They can also better optimize assets based on the data gained, improving productivity, extending asset life, and reducing downtime that some assets may require.
In addition, Big Data can help companies reduce their expenses. Data companies can help them identify where they can save costs without negatively impacting business operations.
Understanding what each customer is looking for through the data analysis that is made of them allows a company to direct its customers towards certain products and gives the service a personal touch that many consumers today are waiting for.
And Big Data can help companies identify new sources of revenue and expand into other areas. Understanding customer trends and decisions enable companies to decide their direction.
IN WHICH SECTORS IS IT GAINING SPECIAL RELEVANCE?
There are several industries in which Big Data is performing and starting a competition between the companies that compose them. Some of the key industries where Big Data has flourished include:
One of the sectors in which Big Data is being applied is in all stages of the retail industry processes.
Currently, it is already calculating which will be the most popular products by predicting trends, forecasting the demand for those products, optimizing prices to obtain a competitive advantage, and identifying potential customers interested in certain products.
Another sector is the financial sector, where big data analytics is being widely implemented to be more efficient, customer-focused, and profitable.
Financial institutions use Big Data analytics to eliminate overlapping and redundant systems and provide tools to make data easier to access.
Banks use Big Data for sentiment measurement and high-frequency trading, among others. The financial sector even relies on this system for risk analysis and monitoring of financial market activity.
Big Data is also applied in the health sector. Medicine and research require a lot of information gathering and need Big Data analysis tools.
With access to vast amounts of patient and population data, healthcare is improving treatments, conducting more effective research on diseases like cancer and Alzheimer’s, developing new drugs, and gaining critical insights into people’s health patterns.
Big Data is also playing a vital role in the modern manufacturing industry. With the advancement of robotics, increasing levels of automation are drastically changing the manufacturing industry.
In manufacturing, data becomes relevant by incorporating sensors into equipment to help monitor the health and efficiency of machines.
Currently, several cities aim to become “smart cities.” Therefore, these cities are implementing Big Data analytics to achieve their goal. In short, cities that already use smart, connected, and data-driven technologies are helping to improve public services.
If you’ve ever used Netflix, Amazon Prime, or any other streaming media service that provides recommendations, you’ve seen Big Data at work.
This type of industry, entertainment, analyzes our reading, viewing, and listening habits to build individualized experiences.
ARE ALL COMPANIES READY FOR THE ARRIVAL OF BIG DATA?
The Big Data market is growing and in full swing and has become one of the most important areas for companies that are digitally transforming their organizations.
But those who do not adopt Big Data solutions miss out on the opportunity to transform the data generated into a business asset.
Organizations that need to understand their customers better, optimize their logistics processes, forecast demand, manage stock intelligently, or want to be able to predict disruptions in their market or business will need to learn how to manage large amounts of data.
In short, most companies will be able to benefit from Big Data. Still, those more advanced in their digital transformation process and whose business grows faster in digital channels will benefit from this technology faster and more deeply.
The problem with embracing Big Data tools is the costs involved in both data processing and storage.
Large multinationals are perfectly aware of the value of Big Data and integrate it into their organizations through the high investment they make.
Other types of smaller companies can also use Big Data for their processes. However, a small or medium-sized company must be aware of the high investment these projects entail and the benefits they bring to determine if the investment is profitable.
To do this, these companies resort to outsourcing data management, cloud services being the most chosen for this.
Data is changing our world and how we live at an unprecedented rate. If Big Data is capable of all this today, imagine what it will be capable of tomorrow. The amount of data available will only increase, and analytics technology will become more advanced.
For businesses, taking advantage of Big Data will become increasingly critical in the coming years.
 The companies that view data as a strategic asset are the ones that will survive and prosper—those who ignore this revolution risk being left behind.