Data from multiple sources and various associated data services/applications all need to come together in real-time. As a result of orchestration, data policies and service levels can be better defined through automated workflows, provisioning, and change management. Critical data management processes can also be automated, including data creation, cleansing, enrichment and propagation across systems.
Now that companies are getting a better handle on extracting value from mountains of customer data for their own business operations and marketing purposes, they are taking the next steps in learning how to capitalize on that very same data as a resalable asset. According to Accenture, “…payment providers have a treasure trove of customer data at their fingertips,” and to monetize that data will require that they take “advantage of distinctive data sets and apply advanced analytics techniques” from multiple sources.
Trying to predict how many Internet of Things (IoT) devices will go online over the next decade is like trying to predict the growth rate of rabbits in the wild. It suffices to say that 2017 could be the year in which IoT devices exceed the total human population, based on a Gartner forecast of 8.4 billion IoT connected devices, or one device for each of the 7.5 billion people, plus just under a billion more to spare.
Like all industry sectors, retail is undergoing a dramatic transformation. It started years ago with the emergence of what we then called e-commerce, and the trend is now accelerating with massive disruption in the way consumers are shopping. It’s requiring traditional retailers to adapt to digital and pure internet players to connect with physical stores.
The forces compelling digital businesses to place more of their data at the edge are real, however, the transition requires careful design. The perception is that moving large datasets out to the edge can create management and accountability problems that would not occur if the data were managed centrally.
Enterprise security has become infinitely more difficult to achieve. Cybercrime is growing at the same pace and sophistication as evolving technologies within digital business, including those undisclosed computer-software (“Zero-day”) vulnerabilities in systems, applications, data and networks that hackers love to exploit.
LD10 enables our customers to operate on an expanded global platform to process, store and distribute larger volumes of latency-sensitive data and applications at the digital edge, in closer proximity to end-users and local markets.
The IOA Security Blueprint Identity and Key Management Security Design Pattern provides a step-by-step strategy for gaining greater control over security functions by deploying local, vendor-neutral identity and encryption key management services.
To respond to an evolving digital landscape, business and IT need to transform from siloed and fixed architectures to integrated and dynamic. Rather than taking everything back into core systems to be processed, organizations need to push out some of their applications and data to the network edge, and create an environment in which the data handshake is intelligent, seamless and highly available.
You’ve heard it before: The corporate network perimeter has disappeared. We see this in countless ways. Organizations are collaborating and conducting digital business globally via hybrid and multicloud, and they’re interacting over social networks.