The Future of Enterprise Search Is Here: Introducing Docxonomy
Countless documents, emails, videos, audio files and more are trapped in data silos at companies around the globe with poor visibility, inadequate access, and no real way to monetize. Until now.
Companies collect enormous amounts of unstructured content in any number of various software solutions, platforms, and systems, but how do they find and use it? The answer is usually, they don’t—or, at least, not very easily. But as technology has rapidly changed over the last three years, the overseers of these silos have begun to ask, “How can we better access and leverage this data?”
Today, the team at Docxonomy has found a way to uncap the treasure troves of information assets and bring to light critical data for analysis and application all in an affordable enterprise search software. Docxonomy can bring astronomical value to companies across the globe by making knowledge discovery not only possible but much, much simpler by delivering real visibility and real business intelligence.
Content Creation and Data Storage: A Brief History
As a civilization, we’ve been recording information for posterity and storing it in many different forms—from clay tablets to scrolls to the earliest books and photos—for thousands of years. And apart from a few wars, floods, fires and other disasters, we have managed to keep most of this information in libraries, archives, and museums. That is, until the internet.
Moving from physical archives to cloud-based storage has broken all the rules. With content and data storage capabilities nearly limitless, we’ve ramped up production leading to more than 2.5 quintillion (2,500,000,000,000,000,000) bytes of data collected every day. To put this into perspective, about 100 GBs of data was being stored per day back in 1992 (roughly 20 DVD movies). Today, an estimated 40,000GBs of data is collected per second. That’s 400 DVD movies every second.
Over the past two decades, companies have created repositories to store the enormous amounts of data they’ve been creating. Unfortunately, these systems are extremely expensive to deploy, support and maintain; however, the biggest challenge of all is they’re not easily searchable. A whopping 80% of the data gets stored in unstructured formats (think documents, emails, video, audio, etc.), which means a considerable amount of data that’s difficult to find.
Adopting traditional enterprise search can cost millions of dollars and rarely meets the requirements business users are craving. In most cases, searchability, analytics, and monetization of assets are an afterthought or, even worse, not addressed at all during the project due to budget restrictions and complexity.
Not only that but maintaining a legacy system requires a large effort in itself and is a substantial burden over time. Most enterprise search systems on the market today are antiquated and lack the ability to keep up with today’s fast-paced work environment. Enterprise searches are built to serve only a few users at a time, and search is only powerful if it’s used by every single person in the workplace.
Simply cramming more data into existing repositories and sitting on the information assets therein can have a profound negative impact on the success of a business in this new age of digital transformation. The question remains: How do companies fix the problem of siloed data and then use it to make their businesses better?
Affordable and Robust Enterprise Search IS Possible
A new enterprise search solution is now available that will give companies the ability to derive and extract intelligence buried in the flat words, graphics, tables, videos and more, currently embedded in documents and other content assets. Docxonomy is a knowledge discovery platform that brings together data from disparate sources, connecting to a company’s existing information repositories, be they huge and complex or simple.
Leveraging the cloud, open source breakthroughs and a cost-effective subscription-based delivery, Docxonomy allows organizations to break down information silos, storing their data in or just linking their data to our system to gain immediate searchability through machine learning, natural language processing, and advanced analytics. If you don’t want to migrate your data, you don’t have to! You can still leverage the power of Docxonomy search.
Here’s how it works:
- After deploying our connector, data is automatically analyzed, leveraging our powerful natural language processing engine.
- Each file is then indexed into a categorized, auto-generated, structured format.
- Files are automatically classified using machine learning algorithms that learn from your own documents.
- The intelligence of the algorithms can be adjusted based on user input, essentially creating a system of continual improvement.
This level of processing happens regardless of the file type, so if a Word document is added to the system, Docxonomy parses the document, analyzing text, images, tables, and charts, and each component is assessed individually. The same can be said for PDF, video, audio and a variety of other formats. Then, leveraging defined indexes, the system continues to aggregate data from all of the unstructured content to create a company-wide, private index of common themes. Docxonomy continues to collect intelligence from your siloed data sources as it relates to the common themes identified in the content—over and over again.
The result: Robust and agile search and analytic capabilities at a fraction of the cost of traditional enterprise search.
With Docxonomy, it is now possible for companies of any size to unleash data from one-way-only content creation and storage systems—and gain new efficiencies, insights and business intelligence.
So what are you waiting for? Don’t just store your data, use it.
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