Recent TRG blog posts

American Express Global Business Travel (GBT) is the world’s largest business travel provider with 16,000 travel professionals in more than 140 countries, managing over $19 billion a year in corporate travel spending and serving 37 out of the 100 largest travel spenders in the US. American Express GBT wanted to protect and increase market share by differentiating its core services.

Enterprises are creating and storing an ever-growing amount of data, which makes data management challenging. Database management software enables businesses to increase data accessibility and streamlines the document management process. 

Hotels and resorts are laying the groundwork for how they will do business in a new decade and beyond, in an effort to stay competitive, profitable, and ready to meet new challenges. Industry leaders are examining the workflows and mechanics of technology-driven processes, like data infrastructure, reservations, event planning, inventory control, competitive price setting, and revenue forecasting—and seeking out ways to tie them all together to better serve operations, revenue management, and brand strategy.

In today’s digital economy, companies have access to more data than ever before. This information serves as a foundation for making key business decisions. Companies must invest in data management systems that increase visibility, reliability, and security to ensure that employees have the necessary data for decision-making.

In today's business world data has become the most important asset for practically every organisation. If your customer database is left idle for a long time, the information becomes outdated and redundant. Your company needs accurate, relevant data in order to develop successful initiatives. And here is why a data cleaning tool may help you. 

Versatility, scalability, cost-savings, and deep analytics capability – those benefits have made data lakes an indispensable component of a modern enterprise’s technology infrastructure. But just like everything else in life, there are trade-offs that, without proper precautions, can turn your data lake into a ‘data swamp’ – a digital mess of unmanageable and unusable raw data.

Data Management is extremely critical. As your business grows, it is only natural that the amount of data you generate daily, such as customer data, employee data, internal process data, product data, etc. also increases.

Data cleansing is one of the most important steps in the data preparation process. As companies are increasingly dependent on data to make crucial decisions, inferior data can leads to inefficiency, missed opportunities, or even financial losses. Thus, ensuring a “clean” database is one of the biggest challenge in today's organisations.

A data lake, in essence, is a repository that can store an infinite amount of both structured and unstructured data for later use. In a previous article, we have briefly explained a few noticeable differences between data lakes and data warehouses. Each type of data repository serves a unique purpose. Therefore, instead of replacing one with another, they can be used supplementarily.

In today’s business, every enterprise relies on an increasing number of IT systems to support various business functions in some form or other, be that accounting software, CRM, or ERP.