Tag: data analysis

Of all the technologies to have emerged in recent decades, one has impacted a surprising number of industries: Drones. While still in their infancy relative to other emerging technologies, Unmanned Aerial Vehicles (UAV’s) are fast finding use in construction, photography, agriculture, defence and many other industries.

Optimised procurement processes have the potential to refine supply chain management and resolve ongoing corruption challenges.

Business Intelligence (BI) has undergone significant transformation in recent years and certainly is not being superseded by artificial intelligence. In fact, it has become more efficient and user friendly since moving to the cloud, utilising AI and machine learning, and its embedded implementation.

Storing data securely and using it appropriately should not be merely a compliance-driven practice; it should be a cornerstone of any business. Not only does appropriate data protection and use protect your business from risk, but it is also key to building customer trust, without which, no business can survive for any reasonable length of time.

Failure to implement effective compliance and accountability systems is costing the public sector dearly and making supply chains fertile ground for corruption. If the South African government is serious about stopping the rot, strict measures need to be introduced in state departments and safeguards against cyberattacks significantly improved. 

While COVID-19 is certainly not a thing of the past, as a society we appear to be starting to find ways of living with the virus and, for most people at least, taking the necessary precautions to protect ourselves from being infected by it. The same can be said for many businesses.

Technology has permeated all facets of business. Today, it has become less about the bits and bytes and more about unlocking the efficiency of processes, improving the customer experience, and better understanding data to deliver on the company strategy.

Changes in the way customers expect to engage with the financial services sector and increasing pressure from regulators is compelling financial services companies to come up with innovative ways to manage their data. Financial services businesses view information/data as a significant corporate asset.

The task of re-skilling millions of workers may feel overwhelming. By 2022 alone, 75 million jobs will probably be displaced across 20 major economies, while 133 million new ones will spring up in industries that are only just gaining traction. At the same time, it’s estimated that nearly two-thirds of children who started school in 2016 will go on to have jobs that don’t yet exist.

Research shows that insurance executives are recognising the opportunities associated with big data. Of course, they are no stranger to the importance of data analysis given how the industry is built around understanding market requirements and developing solutions accordingly.