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.
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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 about 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 is reduced.
Businesses across all industries have two things in common: they utilise documents and they create a lot of them. Documents are used for everything from sales reports to product development and end up being stored in all sorts of places, both digitally and physically.
Document management is often an overlooked practice in your business, but did you know that according to research your employees can spend up to 20% of their time at work searching for information about the task they are currently doing?
According to Hospitality Technology’s “2016 Lodging Technology Study,” 62% of surveyed hoteliers use business intelligence (BI) tools and another 16% will add them within 18 months. Armed with the right information, today’s decision-makers can better understand risk, performance, and the impact of decisions at property, region and group levels. But how exactly can hotels achieve competitive advantages with business intelligence?