Hewlett Packard Enterprise makes HPE Data Protector, a backup appliance for large networks and institutions. To promote a successful engagement with a U.S. health care provider, HPE engaged InEvidence and venTAJA to create and lay out a case study highlighting deduplication technology and engagement with a channel partner.
Kemp wanted to publish content around its new messages of multicloud infrastructure and application delivery controllers (ADCs). It engaged venTAJA to work on a series of blog posts.
Kemp makes virtual load balancers and application delivery controllers. They engaged venTAJA to write case studies about the successful use of their products by service providers.
This case study for Quest highlights technologies in the company’s Data Protection business unit. A managed service partner has built a service for its clients around Quest’s disaster recovery product, allowing it to help companies recover from ransomware attacks.
Alphablox sells infrastructure software that helps decision-makers identify and take the most profitable action. Then engaged venTAJA to write a technology benefit white paper to supplement their corporate presentation on the role of their InLine Analytics in delivering profitability to front-line decision-makers in real time.
Coradiant’s network appliances offer real-time visibility into the user’s experience of web applications. In the evolution of their partner program, Coradiant worked with venTAJA to develop sales enablement material, including a partner quick reference guide, placing valuable product information at the fingertips of its channel partners. Coradiant also engaged venTAJA to write case studies on customers in its education segment.
Financial networks, healthcare providers and government agencies rely on Tumbleweed’s SecureTransport for the safe file transfer of billions of dollars in sensitive transactions daily, often in clustered environments. To standardize Tumbleweed’s recommendations on why and how best to cluster its servers, they engaged venTAJA to interview internal subject matter experts and write a proprietary technical overview piece that explained dominant clustering technologies and implementation choices.