The customer has already allocated a significant portion of their IT budget to a competing solution.

The customer has a strategy for ingesting data collected from IoT devices and analyzing the data at the core.

The customer wants to shift from a CAPEX model to an OPEX model.

The customer has heard of HPE Synergy and The Machine, and understands why these solutions are so innovative.

Customer churn rate

Number of product returns

Mean time between failures

Employee satisfaction score

Reduced security risks

Lower cost of ownership

Simplified deployment process

Greater flexibility and scalability

It automatically deploys patches to all desktops at the network edge.

It ensures that all data remains securely in the data center.

It includes security monitoring as a service as part of the solution.

It embeds a silicon root of trust in every desktop.

Companies often do not understand the advantages of CAPEX funding models.

Changing the consumption model requires IT to move resources from on-premises to the cloud.

When companies change the consumption model, overall costs might increase for the first year.

IT, financial, and department executives must collaborate to determine the best model.

by providing high-speed Wi-Fi with wire-like reliability

by giving mobile devices highest priority on the network

by redirecting compute-intensive apps to wired connections

by ensuring all forms of traffic are treated in the same way

the ability to integrate IoT devices into the network with minimal security risks

the ability to dynamically deploy location-based service apps to customer mobile devices

the ability to support virtualized workloads from leading vendors such as VMware

the ability to independently scale compute and storage resources, and redefine them dynamically

Fluid resource pools support workload-specific processing, which optimizes task processing.

Fluid resource pools offer always-on data deduplication and compression.

Fluid resource pools liberate resources stranded in silos, which reduces over-provisioning and CAPEX.

Fluid resource pools enable developers to customize networking functions dynamically in real time.

HPE lets the customer maintain workloads/applications on Dare metal white providing much of the automation and flexibility associated with visualization.

HPE has found that most performance issues with virtualization arise from insufficient remote storage, and HPE has industry leading storage solutions.

HPE integrates with leading visualization vendors to enhance the efficiency of the visualization layer and boost compute there.

HPE has developed a proprietary virtualization technology, which can support the performance requirements of the most demanding workloads.

by helping them remove containers and shift all workloads to virtualized servers

by helping them replace Platform as a Service (PaaS) with Software as a Service (SaaS)

by helping them transform into data-driven organizations

by helping them transition away from data toward apps