Big Data & Analytics
Everyday 2.2 million terabytes of new information is created. Organizations have invested billions of dollars in technology to create, capture, and store this information, all with the intent of giving employees, managers and executives the information they need to make the best decisions. By accumulating and keeping more and more data, we get a sense of security; a sense that we'll have what we need when we need it; and because of this, we'll be able to make better decisions.
The problem is that, between the Internet, social media, computing power, always on connectivity, processors in the palm of our hands, and cloud storage; we've gotten significantly better on one side of the equation than the other. We have the ability to create, capture and store data; however, our ability to assimilate and exploit that data as an information asset in meaningful ways is lacking.
No longer do they have the problem of making decisions with too little information. The information is often embedded within data, and some would argue the problem is too much information. We suggest that too much information is not the problem; rather, it is our lack of the ability to analyze and evaluate the massive amounts of data to find the required information. How do we associate the seemingly disparate bits of data into a comprehensive and meaningful view of a client, a project, or a process?
Managing big data is about how the information is funneled into the organization, moved through the organization's business processes, and then presented as an end product. To be scalable, any big data management solution must be able to perform all the following operations:
Acquire: In the world of content management, this is often considered the "capture" process, and includes all the different ways content is added to the repositories. This might include saving files; receiving faxes; scanning documents or completing an electronic form.
Organize: This is closely related to capture, and is sometimes referred to as "preprocessing" This operation involves identifying content. This could include adding or supplementing metadata; adding tags; indexing for full-text capabilities. Some of these steps might be manual, but should be automated to the extent possible.
Synchronize: This operation is all about activating content in the business processes. Content and line of business data may be combined, and work flows might be initiated. Content may be correlated and associated with supplemental documents, and items may be reviewed and approved.
Present: Often referred to as publishing, this is about how data and content might be presented to constituent groups within an appropriate context. It might include printing out correspondence, generating an email, executing a contract, or adding content to a website. In this operation, an information consumer might see content objects combined with system data to enhance the usability of data and content through process-specific context.
Analyze: This is a supporting process which enhances the value of the information by extracting meaningful content in context, associating it with other relevant content, and presenting the information in different ways to enhance the organization's operations. This analysis allows the organization to leverage big data and big content by re-using the information in different contexts. Cloud-based computing capabilities can aid in this analysis by allowing organizations to temporarily scale for specific projects, and go back to a steady state.
Search: If the information is properly organized and analyzed, the needle in the haystack becomes vastly easier to locate. Modern analytical technologies can present usable, process-specific information to users in various perspectives, thus allowing users to find answers in creative and previously unavailable contexts.
Store: This sounds like a simple operation often addressed through the purchase of enterprise storage devices, and indeed, such devices have their place. However, users tend to store information in a range of locations and various devices. The challenge becomes one of how to either acquire all the information assets and move them to a central repository, or how best to store and manage the information in-place.
Maintain: Information is a key asset for every organization. Businesses can fail due to a loss of their information. However, maintenance goes beyond creating backups and maintaining high-availability computing systems. There is also a governance component to this process. Organizations have a legal obligation to maintain systems of record, to keep content for legally required retention periods, and assure that content is deleted/destroyed from these systems in a timely and appropriate way.
The goal of content analytics is to gain new insights for improved decision-making. Alyx Technologies has the expertise and technologies to let you harness the value of your information assets. As content gets bigger, you need the technologies that make information smarter. Our solutions help you address both the structure and unstructured content that comprise today's big data challenges.