Recent TRG blog posts

In the previous post, we discovered the first five most common Business Intelligence terms you need to know. In today's post, we will go through the next six. 

Learn more: Data analytics and its role in modern business

If you are new to Business Intelligence (BI), navigating through its terminology is not an easy thing to do, which is why we are here to help.

In the previous post, we discovered why data analytics is important to Tesla and applications of Tableau software at this electric car maker. In this post, we will further examine other applications.

Grab, the leading car-sharing service in Southeast Asia, has adopted a Tableau BI solution to make more informed, data-driven decisions across their entire organisation. The ability to analyse millions of rows of data at lightning speed has allowed Grab product teams to track multiple metrics in real-time and better understand customer preferences in different regions.

Both enterprises and individuals have to process some kind of data every day, whether it is a short message, a notification, a piece of news, statistics, a video, etc. If we accumulate all the data acquired in a month, the amount guarantees to shock anyone.

Read more: Guide to data management

The very first industrial revolution began sometime in 1760 with the increase in steam power usage, marked the rise of the factory system. Then came the second revolution following the introduction of electricity at the start of the 20th century. The third revolution began with the introduction of automation and information technology into factories. We now welcome the new age with Industry 4.0, the fourth, and certainly not the last, of the industrial revolution.

Today, Business Intelligence or Business Analytics sounds like a novel concept born in the Digital Age. But the first Business Intelligence-like application was actually created more than 65 years ago in a British tea shop.

Managing enterprise data may seem like a daunting task. It can easily get overwhelming and out of control if not managed well. In a survey conducted by Primary Data in 2016, the results showed that a common trait among many enterprise IT experts that they have to handle 10 to 20, sometimes more, data sources as the company grows. How can you simplify your data management? Check out this infographic for the answer.

For a hotel chain, which may own, operate or manage thousands of properties around the world, revenue management truly is a daunting challenge. In recent years, many hotel chains have heavily invested in Business Intelligence (BI) to drive their revenue management. The massively powerful data analytics capabilities provided by Business Intelligence solutions have created giant leaps in revenue optimisation of hotel chains.

If Tesla Motors is to achieve the aggressive goal of making 1 million cars by 2020 set out by its CEO Elon Musk, it will partly be because of the application of data analytics in its manufacturing operations.