Effective Examination of Content-Enabled Intelligent Classification
As enterprises accelerate down the path to complete information governance, they are looking at methods and technologies to ensure smooth sailing for critical document-centric processes to support their goals. In order to leverage content for future business growth, it is key that ALL of an organization’s data is extracted, examined and prepared appropriately to move through the document lifecycle.
Packing the Right Stuff for the Journey
As you prepare your enterprise content for the journey it is about to take through the document lifecycle, it is important to consider a few key components. Think about this as packing some essentials.
The need for effective classification of business information goes hand-in-hand with data extraction techniques. You need to know what to pack and then pack it efficiently so you can find it easily later. Both of these processes are critical in order to capture the information stored in vast mountains of unstructured content, prevalent in most enterprise-class organizations. Think about the information stored in emails and email attachments, social media, CAD diagrams, well logs, contracts and images. Most organizations don’t have a true handle on the management of this content, which means they won’t get to where they want to go without losing important luggage along the way.
So, once you have all of this content extracted, how do you start to manage it so that findability is not a problem? The answer is classification. How do you ensure that vital information can be used to ensure compliance with regulatory or corporate mandates? Again, classification is the answer. It is critical that content is classified: examined and organized in such a way that searchability is improved and redundancies are eliminated.
A Rocky Start to the Trip
The ability to find information and adhere to compliance standards are goals for all enterprise organizations. With the unprecedented growth in unstructured data (studies show that 90% of enterprise data is unstructured), classifying according to broad categories is no longer efficient or sufficient to meet those goals.
The other challenge organizations face when implementing classification measures is that most of these efforts are largely manual, meaning that resources are drained.
Enterprises with millions of documents simply don’t have the time to wait for each document to be classified manually or with a minimal amount of automation.
Meeting compliance demands, getting products to market or enabling the mobile sales force to access information efficiently requires fast and efficient streamlined processes. There is no time for do-overs and little tolerance for manual error.
Classification: The Key to a Smooth Journey
With an estimated 19% of all working time spent by knowledge workers focused on finding information, making data easily findable is a key priority for enterprises. (Source: IDC) With 35% of the digital universe subject to compliance regulations, content that is labeled correctly and part of a legally defensible process is essential.
Adlib’s new project, code-named “Deep Insight” allows organizations to largely automate the classification process by intelligent examination of unstructured content. “Deep Insight” technology enables organizations to incorporate images into the actual algorithms as well. For example, the average classification initiative assesses content based on basic traits. This technology analyzes text beyond just basic layout. It understands content flow and so even content that is not digitally-born can be included in the examination.
Additional benefits include a maximum overview of data trends; performing analytics on vital information only; reducing “dark and dirty data”; and reducing storage costs with the elimination of ROT (redundant, obsolete and trivial content—only pack what you need).
Classification as a Shared Service
Studies conducted by AIIM (the Association for Information & Image Management) show that 52% of organizations surveyed have three or more ECMs/DMs/RMs in place. Centralizing critical content tends to be a major concern in these organizations. To reduce the negative impacts of working in silos, classification can be applied across the enterprise, enabling greater consistency and findability of information. Using a shared services approach to support multiple repositories and departments, document management processes are streamlined and information can be found and leveraged.
So remember, when preparing your content to journey toward complete information governance, pack light and pack smart.
As a global leader in Advanced Rendering, Adlib helps organizations in the energy, life sciences, insurance and banking sectors, among others, enhance document-centric processes by unlocking the value in unstructured content. Integrating with key business tools, Adlib’s sophisticated data extraction and classification approach enables improved compliance, customer experience, collaboration and the long-term digital preservation of critical business information
To learn more, go to www.adlibsoftware.com or reach out to us at sales@adlibsoftware.com.