Recent TRG blog posts

On September 27th 2022, Business Intelligence Group announced the winners of its 2022 BIG Awards, an annual award established to acknowledge companies, products, and people offering unique technological solutions.

International Financial Reporting Standard IFRS 17 was issued on 18 May 2017 by the International Accounting Standards Board.

Most organisations understand the need to harness data and extract value from it. But many still do not fully appreciate how data analytics can revolutionise the way the C-suite performs its duty.

With Infor SunSystems Query and Analysis (previously known as Infor SunSystems Vision), anyone in your organisation can get 24/7 access to real-time financial information to make the right decisions at the right time. Technical and non-technical users alike from all lines of business-including finance, sales, human resources, and any other department-can harness this powerful, ad-hoc querying and analysis tool.

Contents

• Information when you need it with Infor Query and Analysis
• Benefits of using Infor Query and Analysis
• Infor Query and Analysis add-ins and reporting tools
• Empower your employees

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.

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.