Big businesses, regardless of industry, all face similar challenges related to data management that go hand in hand with their size. Data analytics is a key component to success in competitive markets. It is no longer viable for an organization to rely on the perceptiveness of a few individuals who are assigned to comb through massive amounts of data. Technology now exists that can disseminate useful information, and recognize key trends in business processes intuitively and automatically. This is where Autonomy plays a key role in supporting large enterprises with heuristically sound tools for carrying out these tasks.
Autonomy is a Hewlett Packard owned company that was conceived to help companies across the globe truly understand the information contained within their business systems. Autonomy was founded in 1996 and currently serves more than 65,000 clients across the world. Their offices are located in several countries with two headquarter locations; one in the US, located in San Francisco, California and the other in the UK in Cambridge, England. Autonomy is partnered with over 400 OEM providers as well as 400 plus Value Added Resellers (VARs). Their products are designed to integrate with other technology providers. Competitors include TIBCO, Adobe, Dassault SystÃ¨mes, Citrix, EMC, Novell, Sybase and even IBM Global Services.
The goal of Autonomy is to provide data analytics services at an unprecedented level. Information characteristics, especially organic level data, lacks the definition that structured systems typically host via models which insist on specific formatting. Autonomy seeks to unveil the meaning of all the data collected by an organization, not just the pieces that fit key metrics. Autonomy’s algorithmically based analytic system thoroughly interprets information by first understanding its structure then further assessing the information to derive its true meaning. Systems that are extremely complex, such as particle tracking systems or gene sequencing modules, are fully assessed beyond granular levels to uncover information that may lack a single empirical representation.
Autonomy tackles the process of unifying data across a massive corporate infrastructure. Their method of Meaning Based Computing (MBC) analyzes unstructured data so that it more effectively benefits a business. The architecture of the system is such that relevant data is also stored in an efficient manner through deduplication and compilations of relevant data in more sensible formats.
This increases productivity in an organization thus providing a cost savings that can beneficially impact the bottom line.
The flagship product of Autonomy is the IDOL 10 system. This system provides enablement for customers to siphon information from a variety of sources that are used in the organization, from files stored in a database to data from social media. Data is interpreted based on context in each individual scenario and processed according to a sound logic system. IDOL 10 utilizes a pattern-matching assessment when unearthing information that adapts based upon the framework in which it resides and is cross referenced with other information interpreted by the software. IDOL 10 can be supplemented with IDOL Sentient Dashboard — a web interface for administrators to access the system via the web for remote management that further simplifies administrative processes.
Please note that Storagepipe is an independent online backup service provider, and we are not directly affiliated with Autonomy. However we do offer cutting-edge enterprise backup services for Autonomy systems and servers as well as other similar systems.