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Docuflo Inventa (Enterprise Search)
Searching on the web is easy with Google or other web search engines, but can we do the same with our organisation's internal database? Companies often sit on a wealth of information accumulated over the years but these information often gets buried as there is no easy way to get to these unstructured information. So, here's the solution...
Today, every business relies on data to make accurate business-related decisions and strategies. A good foundation for your business analytics initiatives relies on how well data is governed in your organisation to ensure cleaned, classified and protected source of information to generate reliable insights. Read the IBM report to find out how you can ensure a governed data lake for solid analytics foundation.
Distribution System (ERDS)
End the frustration with report dissemination issues such as physical paper problems, costly maintenance and storage, limited retention period and lack of visibility. ERDS provides secured access to your daily operational reports, all in a centralised repository.
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Our Value Proposition
We work closely with a wide range of clients from different sectors and regions across the public sector, private sector and governments.
Why Docuflo Inventa is the perfect solution for an Educational Institute. What does the Education Industry Need to Consider When Investing in an Enterprise Search Solution? Finding the perfect search solution for a college, university, or other educational institution that allows users to collect the information they need to succeed can be challenging. Current students, …
How Docuflo Inventa can compliment your Intranet Coming from an organization that thrives on information and content sharing, the intranet served as the go to platform for all things documentation, forms, templates, and so on. But here’s the hard to swallow pill. The default search tools on the Intranet were an awful experience for the …
How Enterprise Search is changing the scene of Data Before we give you a glimpse of the future, let us take a step back. In the past, data management required teams of employees just to structure and organize entire rooms worth of documents. Over time, however, the sheer volume of data has increased to a …
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