Top 5 trends in business analytics: Heres how ISB Executive Educations Applied Business Analytics progr – Times of India

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 stay ahead 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.'; var randomNumber = Math.random(); var isIndia = (window.geoinfo && window.geoinfo.CountryCode === 'IN') && (window.location.href.indexOf('outsideindia') === -1 ); //console.log(isIndia && randomNumber 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.Congratulations!

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Data Security: Providing secure solutions is one of the top-most ways to gain a customers 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 companys 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!

In this business landscape, professionals need to be aware of the latest data analytics trends, and one of the best ways to attain it is withISB Executive Educations Applied Business Analytics programme. The 12-week programme is designed in collaboration with Eruditus Executive Education to help you explore in-demand ML techniques in business and their applications. No prior coding experience is required, and at the end of the programme, you will gain actionable insights from an industry-oriented curriculum and real-world examples taught via video lectures from the renowned faculty at ISB. The programme also includes live online sessions with Eruditus programme leaders.

Some of the ways in which ISB Executive Educations Applied Business Analytics programme will help you

Designed for a wide range of professionals This cutting-edge programme is best suited for professionals who are:

1. Looking to upskill in data analytics to manage data science and analytics teams and improve functional performance through analytics.2. Interested in leveraging business analytics to outpace the competition and develop data-driven growth strategies.3. Seeking to sharpen their strategy offering for clients by providing data-driven solutions to their problems.

A chance to be a part of the ISB Executive Network

ISB Executive Network comes with various benefits such as: ISB Newsletters with the latest updates Learning and Networking opportunities via ISB Executive Education Network Group on LinkedIn Exclusive invitations to Online and Offline events like Webinars, Conferences, and Master Classes Scope to facilitate as a Guest Speaker at ISB Executive events Preferential pricing with 10% discount on programme fee on ISB Executive Education Open programmes Upgrade to ISB Executive Alumni Group with 100+ learning hours

Learn a range of data-related subjects This programme has 12 modules to offer, starting from the introduction to Business Analytics to Data Preliminaries for Analytics. These modules will help you learn from the basics to more advanced Business Analytics applications. Other modules include topics like Regression Descriptive and Predictive Analytics, Visualisation Perceptual Mapping for Business Analytics, Decision Trees for Business Analytics, Network Analytics for Business Analytics, Experiments, and Causal Inference.

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Top 5 trends in business analytics: Heres how ISB Executive Educations Applied Business Analytics progr - Times of India

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