Datamining

Connecting big data and big content

Connecting big data and big content
People expect ready access to information: being able to connect to lots of it, quickly, anywhere, and anytime.
But the reality is that this is often not as straightforward as it sounds.

The ever-increasing amount of information created on a daily basis combined with the proliferation of disconnected business systems and content repositories makes it hard for employees to find what they need.

To effectively connect information silos and ensure workers have fast access to all of the content they need, it’s important to first understand the different kinds of information organisations are dealing with.

Big data” refers to the structured data that resides within database-based systems such as CRM and ERP solutions — much of which is often maintained by different lines of business and isolated to specific users and applications.

On the other hand, “big content” is the unstructured content that consists of items such as documents, spreadsheets, images, videos and PDFs.
It’s widely believed that as much as seventy to 90% of the information that most companies collect is unstructured, and it’s growing by leaps and bounds.
In fact, IDC estimates that the worldwide volume of digital information will grow by a factor of ten between 2013 and 2020.

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The big content conundrum

Effectively managing big content can be tricky.
Unstructured content assets often reside in a multitude of different repositories and systems, making it not only difficult to quickly locate a particular file or document, but also challenging to ensure it’s the most current and precise version.
In addition, there’s typically a lack of context to any of the content.

Not only do information workers need fast access to up-to-date data, but they also need to understand the context and relationships between various data assets.
For example, a salesperson looking for a new project proposal with an existing customer would also benefit from knowing if this customer had outstanding or unpaid invoices, but if systems and repositories are not connected, this level of insight cannot be achieved.

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