It is no secret that data has the potential to power businesses of all kinds. It can instantly give organisations a competitive edge in solving problems, increasing efficiency, boosting revenue, cutting risks, and various other preventive and predictive benefits. The power of data and analytics is so immense that today businesses, irrespective of their size, are leveraging analytics tools to determine how data can be used for innovation to stayahead in a constantly changing corporate landscape. To understand how business analytics work in real life, one can look at the Covid-19 pandemic when businesses that were data-adept could stay ahead because they could minimise risk and monitor remotely for seamless operations.
A recent report published by The Economic Times also states how 83% of India's data-driven companies are more resilient and confident during the pandemic than non-data-driven companies. This indicates that analytics is one of the biggest buzzwords in the business world right now, and it is set to get more significant in the coming years. With customers becoming more data-aware, there is also additional pressure on businesses to come up with smart analytics solutions to stay ahead of the rest. This puts the spotlight on the need for data analysts and business analysts who can drive the growth of an organisation by tapping into the various aspects of data. These professionals are expected to help companies create better roadmaps by predicting what their customers want and helping them become more responsive.
With data currently being a significant catalyst for innovation, here are five data analytics trends that businesses and professionals should keep their eyes on to leverage the enormous power of data. Let’s look at how these trends can help build decision intelligence and decision modelling.
Artificial Intelligence: Artificial Intelligence, or AI as it is popularly called, has been a driving force for every kind of business across the globe. AI is effectively replicating complex human intelligence to allow businesses to drive operations most seamlessly. Apart from making many complex business processes automated, it is helping businesses analyse markets and customers, provide virtual assistance, assist in data unlocking, automate processes, and personalise the customer experience. As per a PwC survey from over 1,000 companies from the U.S.A., as many as 52% have accelerated their AI adoption plans. Companies of all sizes are being able to gain a competitive edge through AI and are being able to build innovative solutions.
Data Security: Providing secure solutions is one of the top-most ways to gain a customer’s trust and move up the success ladder. This explains why many companies invest in security solutions to stay competitive and relevant. Data security is a huge asset for both small and large organisations as it adds to the overall reliability and integrity factor. It also prevents unauthorized access to a company’s equipment and systems and helps avoid the unnecessary expenditures that often occur when data loss occurs.
Natural Language Processing (NLP): NLP is another big trend that data professionals should pay close attention to develop optimized business solutions. When applied together with business analytics tools, NLP can allow users to interpret data in their native languages. Through this, NLP converges people, data, and analytics tools to provide insights to organisations for the best business results.
Real-time Data and Analytics: This trend has tremendous potential in the post-covid reality where things are continuously in flux. There is an immense need for real-time and accurate updates for developing solid business strategies to respond to unpredictable situations. This is why businesses have to be adept at accessing real-time data to stay on top of changes and challenges. It can go a long way in cutting risks and developing effective business responses by immediately accessing relevant data whenever the need occurs. High-speed real-time data access is one of the best ways companies can go ahead of competitors.
Data Literacy: As data becomes the foundation of success for businesses of all sizes, the need to use and understand data as a collaborative tool is at an all-time high. This makes data literacy a top requisite for both professionals and companies as it is a critical tool for success. As a textbook definition, data literacy is the ability to understand, read, write, and communicate data in the context of organisational benefit. As per Gartner, the lack of data literacy skills is one of the biggest roadblocks in companies and also for professional growth in the current time. As trends like predictive analysis become popular in the world of data, analytics-related work will not be done only by experts, thus emphasizing the need for digital literacy!
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