Technology Deployment Archives - Stratix

In the 1975 movie classic, Jaws, there is a critical moment when Martin Brody sees the size of the shark they are asked to conquer, and utters the memorable line to the captain, “You’re going to need a bigger boat”.  Many enterprises, faced with staged rollouts or full-blown “big bang” deployments, find that deep, mobile-specific expertise lacking in their organizations, and realize they too need more help, size, and scale to accomplish their goals. 

Mobile technology deployments, many of which were successful in small-scale pilots or proof-of-concept stages, simply fail when they are rolled out enterprise-wide. Why is this? The most common reason is mobility at scale does not resemble the mobility achieved in controlled, small-scale environments.

To deploy mobility at scale requires enough people and expertise to deploy devices, applications, and support to hundreds or thousands of end-users, usually within 90 days or less.  Most enterprises are not staffed with the number of skilled workers to handle the sheer volume of work or the incredible complexity that invariably arises with each deployment. 

To deliver on the need for deployment in scale in short time-frames, market-leading companies are turning to Managed Mobile Services providers such as Stratix for assistance. Stratix has created enterprise mobile strategies, Mobile Blueprints and Implementation Roadmaps for a variety of companies in a wide range of markets. As a result, Stratix offers proven, scalable SmartMobile enterprise deployment programs, streamlining the resources and time needed to execute with perfection. The best practices stemming from those engagements are the result of a deep repository of mobile-specific expertise that can be leveraged for each customer.

The best Managed Mobile Services providers know how to navigate the complexities of enterprise mobile with agility. Be smart about how you choose your MMS partner. 

Avoid Mobile Deployment Failures

Explore how enterprise mobility deployments often fail due to the scale and complexity

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