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BYOD: Why Mobile Device Management Isn't Enough



(Page 4 of 4)

Data At The Core

The feature our survey respondents want the most is policy setting and compliance, followed by being able to push updates to devices and to remotely wipe data if a device is lost or someone leaves the company. One of the biggest concerns about BYOD and mobile device sprawl is that sensitive company data will leak out, so when assessing MDM suites, follow the data. We looked at where the MDM software's control of company data stops, and what assurances it gives that the device is secured according to company policy.

Since many MDM features are the same across products, ask each vendor what its differentiating features are. For example, Symantec bundles in data loss prevention capabilities -- a challenge because the mobile operating system doesn't provide any native DLP capabilities.

While your IT organization is asking all of these tactical and strategic questions, make sure to ask this final question: Should you even buy MDM, or will the market melt away in two years? As the MDM market matures, operating system vendors are starting to give away MDM-like features. Google says it will provide a level of MDM within Google Apps for free, and Microsoft's updated group policy for Windows 8 supports most MDM feature (though only on Microsoft devices for now).

Some IT leaders still will see MDM as indispensable, given their data security risks and the pressure to offer more apps and device options to employees. But realize that you have options.

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By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



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