Big Data is the practice of collecting information from both traditional and digital sources to identify trends that can help businesses grow and operate more efficiently. Every industry has and needs data; therefore, the need to manage substantial amounts of information is essential, especially in industries such as healthcare, retail, and the financial markets.
Big data is extracted in a variety of ways from a multitude of sources. Traditionally, data was contained in a more structured manner, such as spreadsheets, billing invoices and sales reports. But as technology has been developed to tap into more unstructured forms of data, like social media usage, internet searches and medical detection practices, processes are ever evolving to better analyze that information as well.
When a company is considering the volume, variety, and variability of information, it helps them make better decisions about their employees and customers, enhances their ability to provide better service, and optimizes and streamlines their overall business operations.
An article in FinancesOnline.com reports that Big Data and business analytic solutions revenue reached $274 billion in 2022. The global focus of data science has resulted in several new big data trends that are actively guiding companies and industries into stronger, more efficient operations.
The concept behind the IoT is rather simple. It is the connection between devices or machines and the internet or to other devices or machines as they collect and share data.
Some common devices using IoT are home security systems, self-driving cars, and even robotic medical equipment. According to Forbes, it is estimated that there are 29 billion of these devices currently connected and operating through the internet. The International Data Corporation reports that number could reach 41.6 billion by 2025.
The healthcare industry benefits in a variety of ways from IoT. In addition to medical robotic devices, IoT models, with the help of big data platforms can help facilities like hospitals, clinics and labs run more efficiently and reduce costs through processes of:
New and improved analytic tools are helping companies integrate the vast majority of data pertaining to their business.
For instance, in a retail setting, a business could rely on integration tools that pull together data from supply chain, marketing and advertising and social media posts. Experts report that retailers have seen increased margins of up to 60% using integration tools and expect to see an increase in the future as the technology methods expand to include features such as location-aware tools.
The same holds true for ecommerce – an automated data integration will result in better customer service, driving up the bottom line. Integration also allows companies to better manage internal operations, such as payroll, employee files, and onboarding, by linking various existing and new software systems together.
One of the biggest advantages of using platforms like Integration Platform as a Service (IPaaS) to successfully synchronize systems within a company is in increased accuracy as well as speed, as the data is automated rather than manually entered and subjected to human error.
For most companies, implementing a holistic integration method in-house can be cumbersome, even if they have some integration processes already in place. Relying on a team of experts who can customize a plan for application program interface (API) and integration platforms as well as build and monitor those systems can simplify the process.
AI isn’t the technology it was five years ago, and it will be drastically more forward-thinking five years from now. In fact, according to Forbes, AI is on its way to becoming “the most transformative technology humanity has ever developed.”
Under the AI umbrella is the rapidly advancing system of Machine Learning (ML), responsible for accumulating and analyzing large volumes of information. The technology is now being used by companies of all sizes for brand recommendation marketing processes and to address what has become known as choice overload for consumers.
The technology that allows machines to be the decision-makers for companies has already been at work, enabling companies to scale businesses with the use of its processes. One of the biggest appeals of AI is its far-reaching benefits to a wide range of industries in addition to commerce including:
One would be hard-pressed to find an area of life where AI isn’t already helping an entity work more efficiently, thus supporting the bottom line. Perhaps one of the most notable industries where AI is proving to be increasingly beneficial is finance.
Semantix has combined its expertise in Big Data and AI to help finance clients with an end-to-end solution, SDP Financial. Within the platform, the seller, producer, trade, and investment funds are fully integrated as a mathematical and statistical model takes over-analyzing the market and making decisions based on what it has learned.
An overall trend in Big Data and the technology industry as a whole is that companies are starting to realize that they are operating in a world where they just can’t make it without it. Or they risk being left behind.
According to a recent CNBC survey, even during a time where the economy struggles to get through the after effects of a global pandemic and inflation is felt around the world, companies are not shying away from investing in technology. The survey results revealed companies are looking to implement machine learning, cloud computing, AI and automation processes, and of the respondents, 75% said they will spend more in 2022 on those technologies.
The shift in thinking is helping business leaders realize that technology is not just an optional expense, but a must-have to remain competitive and weather economic storms.
