Organizations need to make the most of big data’s power to reveal and realize all the digital transformation opportunities.
As digital transformation becomes the driver of enterprise, big data has emerged as a primary fuel for this journey. The ability to analyze or organize vast amounts of structured and unstructured data to gain in-depth insights, often in real-time, is what reinforces most digital transformation efforts. The insight derived through big data is crucial to driving digitization and workforce automation.
Digital transformation is about transforming the firm to base its decisions on data, and big data promises the ability to capture all the available data an organization can consume or produce. Capturing all the available insights through big data is essential for digital transformation success.
The true value of big data is its ability to add value to digital transformation efforts, enabling automation of entire operations to drive efficiencies for new business models.
Big data, at its best, shines a light on otherwise dark corners of the enterprise growth. Large amounts of well-managed data are what delivers a better understanding of operations, customers, and markets when integrated within an AI or analytics program. The bottom line is that for the successful digital transformation, it is important to achieve the best insights for business goals, prioritizing data management.
Digital transformation provides that program or idea, but big data add on the actual worth to these efforts for better results. The more data going into a digital transformation strategy, the better results it yields.
When the two converge, unbelievable changes become possible. The combination of analytics capabilities, IoT data, big data, and digital transformation allows companies not just to adjust to customer needs in real-time but also to predict the future behavior of their consumers.
Along with the growing proliferation of connected devices, evolving data-driven digital business models, along with the increase in globally connected business ecosystems with integrated value chains – demand that enterprises need to build a modular but cohesive digital platform, supported by big data gathered from diverse sources.
Digital technologies focused on deriving the maximum value from big data can allow IT, leaders to build data hubs for staging and aggregating data from different sources. Many big data vendors offer pre-built machine-learning algorithms and analytics that IT leaders can leverage. So, looking at the COVID-19 classic example, the sudden shift to digitization and automation was strengthened with the use of big data