Virtualization Technology News and Information
Article
RSS
DH2i 2018 Predictions: Best Execution Venue (B.E.V.) Technologies to Speed Digital Transformation in 2018

VMblog Predictions 2018

Industry executives and experts share their predictions for 2018.  Read them in this 10th annual VMblog.com series exclusive.

Contributed by Don Boxley, CEO & Co-Founder, DH2i

Best Execution Venue (B.E.V.) Technologies to Speed Digital Transformation in 2018

Digital transformation has left the station and like time it waits for no business. It is an inescapable truth that every business is becoming a digital business controlled by software, which is the manifestation of these digital transformations. Some of the key reasons driving these transformations are goals to increase competitive differentiation, to create new services or revenue streams, to improve customer experience and to reduce costs through operational efficiencies. But truthfully the main - but seldom-voiced - reason is just plain survival.

There's a lot of anxiety on the part of the business leaders over their digital journeys. Recent Dell research of 4,000 world-wide business leaders says that 45% of them fear that their business will become obsolete in 3-5 years; 48% are not sure what their industry will even look like in 3 years; and 78%, practically all of them, feel threaten by digital startups.

In 2018, as businesses look to align around a digital culture, they will recognize that they need to invest in new approaches and overcome new challenges to remain relevant in the eyes of their customers. One of the key challenges will be distributed data management. In a digital business controlled by software, the data management infrastructure has to change in a fundamental way because data becomes much more distributed. The traditional data management model assumes that all data will be first collected into some central repository (i.e. central body of data) and then processed with applications, services and other business logic (i.e. workloads).

For the digital business, large amounts of data are generated by a much more diverse set of platforms and endpoint types (e.g. phones and gateways). This data collects and forms new bodies of data separate from the central body of data. Acting much like planets do under the laws of physical gravity, the more massive (the amount of data) a body of data the greater its data gravity and thus the more workloads will be attracted to it. Also, the more massive a body of data becomes, the greater its perceived value for analytics.

In 2018, the traditional model of moving large amounts of data back to a central place will not make sense for a digital business. It's expensive, takes too long, impacts workload performance and decreases the data's value.  What will be essential to speeding digital business transformation is the ability to bring processing to the data, to maximize its value. This need to dynamically move processing (workloads) will see the emergence of a new class of distributed computing technologies focused on Best Execution Venue (B.E.V.).

Best Execution Venue is the location and conditions at which any given workload can function at peak performance and efficiency within its environment to achieve a desired outcome. As the architectural possibilities and choices involved in building out a digital business IT infrastructure increase, B.E.V. technologies will be able to dynamically decide where to move workloads to data anywhere in the architecture to meet use-case SLAs and optimize resources.

##

About the Author 

Don Boxley

Don Boxley Jr is a DH2i co-founder and CEO. Prior to DH2i, Don held senior marketing roles at Hewlett-Packard where he was instrumental in sales and marketing strategies that resulted in significant revenue growth in the scale-out NAS business. Before that, Don spent more than 20 years in management positions for leading technology companies, including Hewlett-Packard, CoCreate Software, Iomega, TapeWorks Data Storage Systems and Colorado Memory Systems.  Don earned his MBA from the Johnson School of Management, Cornell University.

Published Wednesday, November 29, 2017 7:26 AM by David Marshall
Comments
There are no comments for this post.
To post a comment, you must be a registered user. Registration is free and easy! Sign up now!
Calendar
<November 2017>
SuMoTuWeThFrSa
2930311234
567891011
12131415161718
19202122232425
262728293012
3456789