Data Mismanagement: The 5 Sins of the Silo

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7
Next Next

Inconsistent Search

Different data silos have different search capacities, with diverse algorithms and accuracy. The same search on the same dataset can provide wildly different results depending on the data silo used, not to mention that silos make it impossibly inefficient to conduct a true enterprise-wide search of content.

Every organization happily daydreams of the perfect Big Data analytics strategy, but the reality of messy IT environments typically renders the situation as more of a nightmare than fantasy. Time and time again, business teams fail to see proportional returns on their analytics investments, despite implementing best-of-breed tools and algorithms. Why? It's not necessarily the tools themselves; it's the data they're being fed.

The biggest perpetuator of data mismanagement is the ubiquitous data "silo." Harboring content in isolation, the prototypical data silo is established with the best of intentions – to solve a specific problem or increase control of a particular data type – but paradoxically makes data harder to globally access and govern over time. With different data types scattered amongst different locations being used for different purposes in different business units, there's no wonder that it's hard to take inventory of the entire enterprise data corpus… let alone leverage it proactively.

Big Data analytics demands a big-picture approach to information governance practices, and silos impede the way forward. Data manipulation is futile without the ongoing effort to cleanse, pool, and maintain resources over time; but silos, by nature, segregate and disperse material. No matter their original intention, a data silos is guilty of several "sins" that must be eliminated. In this slideshow, ZL Tech has identified five big problems with using the silo.

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
More Slideshows

email12-190x128 Why Email Is a Business’ Greatest Untapped Resource

Five ways enterprises can use email analytics augmented by machine learning to surface insights that can help them ward off risk and meet or exceed goals across their organizations. ...  More >>

PorembaDigitalDisruption0x 9 Successful Digital Disruption Examples

Digital disruption isn't so much an IT project as the future of business, and this requires widespread collaboration across all units. ...  More >>

Media1-190x128.jpg 5 Ways to Boost Productivity with Content Automation

An effective content automation solution can ease the transition to a digital-first distribution strategy, helping companies preview and approve content across all platforms and media types. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.