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.
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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 If your customer database is left idle for a long time, the information becomes outdated and redundant.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.
Blog Topics: Analytics
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 previous blog posts, we have discussed why workflow automation software is a worthwhile investment as it frees up human resources, increases efficiency, reduces errors in both information gathering and overall processes, and reduces your overall costs.
As we have explained in earlier blog posts, proper document management is a challenging but worthwhile practice. However, if you have decided to invest in a document management system (DMS), a whole new problem arises – Which one do you choose and what does such a system even need?
Many businesses today are still relying on paper registers, massive spreadsheets and human resources to manage a lot of workflows in their business. Operations such as inventory reporting, sales approval and customer experiences that are managed manually will often result in many bottlenecks as operations become backlogged because of the sheer amount of data that needs to be catalogued and processes that need to be done. As a result of this, data is often lost or incomplete, and productivity and efficiency are reduced.