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I am Sanket Shah, founder and CEO of Deuex Solutions, where I focus on building scalable web mobile and data driven software products with a background in software development. I enjoy turning ideas into reliable digital solutions and working with teams to solve real world problems through technology.
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Leaders have always used data to drive their businesses, but the manner in which they use it is changing fundamentally. Today in the era of Big Data, businesses are flooded with an immense amount of information which could be a gold mine to decision makers and innovators. Nonetheless, just accumulating archival data is not sufficient. In the process, converting immense pools of underlying data directly to informed action has emerged as perhaps the only true basis for competitive differentiation.
From 2024 data-driven leadership is the oxygen that must exist in modern businesses. It leaves a lesson to the leader to concentrate on how they can make use of Big Data applications in order not only be ahead but also survive the stiff competition. It has now become essential for key positions such as CEO's, CIOs and CTO to know how they can channelize this resource effectively.
Big Data appears to be a boon However, the richest data companies still underperform if they do not have good leadership. Data-driven leadership isn't just turning numbers into statements; it is how we put data to work that adds value within the context of our business goals.
When companies embed data as their service in making decisions, they reduce guesswork and are able to predict the trends from any level of challenge more proactively. Such insights help leaders forge innovative paths to deliver what customers need and beat the competition.
Big Data apps are changing businesses by giving them live analytics, taking automatic decisions, and optimizing tasks. Yet its promise can only be fully realized when leaders learn what data means to their industry and how it fits with the bigger picture.
Let’s explore how data-driven leadership leverages Big Data applications across industries to create a strategic advantage.
Financial institutions are among the biggest customers of Big Data. Fraud detection, compliance, or credit risk assessment are challenges that need data to be analyzed in real-time. Using Big Data, financial organizations can procure real-time info on market trends, credit scoring, and early detection of anomalous activities in transactions.
Take the example of enforcement agencies using network analytics and natural language processing to detect illegal trading activities, such as those carried out by The Securities Exchange Commission (SEC). Big banks use Big Data to optimize their 'Know Your Customer' (KYC) processes as well as reduce the risks of money laundering. Embedding an example of Big Data, it helps financial services leaders manage regulatory changes while increasing customer satisfaction.
The amount of data generated by the healthcare industry daily is mind-blowing: patient records, lab results, clinical trials, and the ever-growing number of wearable devices all contribute to Big Data. However, most hospitals struggle to make actual use of this treasure trove of information.
Two of the biggest issues that the healthcare industry faces are data fragmentation and the necessity of patients’ privacy. For instance, Beth Israel Hospital uses data from patients’ mobile apps to provide better care based on evidence and eliminate costly testing. Big Data makes possible a faster and cheaper diagnosis, helps assure good treatment outcomes, and cuts down on expenses.
Healthcare leaders must turn to Big Data to support tailored medical care, reduce administrative stress, and ensure that the information collected benefits the patients and the providers.
Retailers have one of the best Big Data troves: every sale, every interaction, every search stores invaluable information about their customers’ wants and needs. Leaders need to use this information to provide personalized offers, optimize storage and supply chains, and improve their relationship with the customers.
Amazon is an excellent example of Big Data use that predicted what the customer wants through predictive analytics and algorithms for years if not decades. The better leader is the one able to use Big Data to make shopping an ‘experience’ and optimize the market flow.
State and federal administrations across the globe turn to Big Data to enhance their public services, security, and overall maneuvering. Big Data helps to trace cars and bikes to avoid gridlock and fraud in social services – in other words, it’s used everywhere. An example of Big Data use is the DHS – the Department of Homeland Security uses so-called open-source Big Data from different government and Navy sources to predict threats and protect Americans.
Government leaders need to rely more on Big Data to use their resources rationally, address the social issues, and improve the quality of services they provide.
Big Data can be used to monitor school success and failure, identify the students with poor performance, and do everything from allocation to curriculum change to improve it. One of the already used examples is the system implanted in the Learning Management System of the University of Tasmania – it traces the students who interact with the course materials, when and how. The university can use this information to identify the children who lag and what classes lead to this effect. Big Data leaders must help do this and be more data-aware.
Power grids, power forecasting, and power hysteresis – smart meters and the data they collect in real-time are only the renewable tips of the iceberg of energy consumption improvement due to Big Data. Energy leaders must turn to this and attempt to gain as much from it as possible to save the planet and reduce wasteful spending at the same time.
Strategically using Big Data applications provides real benefits that allow companies to perform better than their competition and adjust with the ever-changing marketplace. Most of the benefits include:
Better Decision-Making: Leaders with real-time data can make decisions on the spot, improve operational efficiency, and reduce risk.
Better Customer Experiences: Personalized products, targeted marketing offers, and smooth service delivery can be achieved by analyzing customer behavior or preferences.
Data-Driven Innovation: Data-driven insights drive innovation, enabling companies to be at the forefront of market trends and offer new products or services.
However, data-driven leadership is not without hurdles. Like most companies, you may be overwhelmed with data having too little insight, and many organizations are facing this challenge of overabundance. On top of that, customer data carries privacy considerations and regulatory concerns, which can further complicate its use.
Ultimately, leaders can overcome these challenges by making the right investment in technology and empowering their organization with a data-literate culture. Teams need training and good resources to analyze data effectively.
Data needs more than just leadership to work in any organization. To build a robust data-driven culture, training programs, access to analytics tools, and clear control over data are equally important.
With data integrated throughout the organization, leaders can take advantage of intelligent tools such as AI, machine learning, or predictive analytics to bring even more value.
Artificial intelligence, blockchain, and IoT are already driving the creation of new data streams to be tapped into by decision-makers. Competitors best positioned to benefit from these emerging technologies will control the future in their industries.
The global Big Data market is projected to reach $234.6 billion by 2026, highlighting how crucial data is in every sector. Leaders who fail to adapt will lose market share.
Gone are the days when leading with data was optional—it's now essential for organizations hoping to thrive in a fast-paced business environment. Big Data applications can revolutionize decision-making, optimize processes, and enhance customer experience.
Developing a data-driven culture through training, technology investment, and clear strategy will set leaders up for long-term success. The strategic advantage gained through Big Data applications not only improves operations but also triggers innovation and growth.
Organizations that leverage data for leadership will lead industries, redefine success, and disrupt old business models.
