Data and Analytics Play an Important Role in Digital Transformation. Here’s Why.

 

The world is forever evolving and changing. New technologies are being developed, behavioural patterns are changing, and businesses with the desire to avoid extinction have to evolve along with everything around them. As a result of modern technology, access to information is easier than it has ever been. Through digital innovations like artificial intelligence, cloud computing and many others, customers now have access to a wealth of information about whatever business or service they’re searching for. This raises the bar for existing businesses (adapt or lose everything).

Digital transformation involves restructuring existing business models, strategies, processes and so on, to suit consumer needs using current technology. The important thing to note about digital transformation is that it is consumer-focused, aimed at giving the consumer the best experience possible, while also making managing operations easier for business owners (CIO from IDG).

Consumer behaviour is constantly changing, and, as a result, organisations have recognised the need to shift from data generation to being data powered. Today, data and analytics are used to identify behavioural patterns through extracted data, analyse said data and use the results to improve business processes (Techopedia). Qualitative and quantitative data are gathered simply through using web analytics tools such as Google Analytics, Open Web Analytics, Clicktale and many others.

Data and analytics are important to digital transformation, as they are key aspects of strategy development. Different aspects of every business produce data, and some aspects provide a larger amount of data than others. As your business produces data, your competitor’s business also does the same. The difference in both cases lies in the goals of each organisation, how data is interpreted, and how the results acquired are developed into strategies that can help improve business processes and operations (Centric Digital).

One of the beneficial aspects of data and analytics, relating to digital transformation, is machine learning. Machine learning involves getting computers to learn and act like humans, by feeding them data and information in the form of real-life observations and interactions. This helps in making more intelligent and informed decisions. For example, selecting alternate routes to avoid traffic, in turn preventing the late delivery of goods or products.

Analytics help companies understand the data at their disposal and help them make better business decisions, resulting in decisions with benefits such as cutting down maintenance costs and improving business operations (Search Business Analytics).

Cloud platforms are also agents of digital transformation, which do not make access to information easier for just the customer, but also for the organisation and its employees. Cloud computing is built around hardware and software that can be accessed through any web browser. They store information and programs for businesses, which can be accessed through a secure connection (iomart).

Analytics in cloud computing involve activities such as tracking social media engagement and statistics.  Analytics deal with a large amount of data which requires plenty of processing power and storage space. Cloud computing thus possesses the space to hold large amounts of data, while also making data accessible from remote locations. This is what makes cloud computing and data analytics a great fit (Forbes).

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