Digital Workspace

“That’s it – we’re moving to another collaboration solution!” OK, be honest: Raise your hand if some version of the above crossed your mind in the past 9-10 months. I hear you loud and clear — you are frustrated with your collaboration provider.

For some businesses, it’s a budget issue; costs go up or you’re struggling to navigate a move from CAPEX to OPEX. For others, it’s the pace of change ― software upgrades are pushed out by the vendor, but now you have to upgrade your hardware. Something has changed with your collaboration platform that makes you unhappy. And while it is true that IT is the business of managing change and risk, that does not lessen your frustration.

I’ve been there too. I have spent most of my professional history in the role of an IT customer, so I have experienced the aggravations that come with managing and being accountable for corporate, foundational infrastructure. In my case it was the voice infrastructure.

In 2020, we’ve seen to what happens when companies roll out cloud collaboration solutions in a hurry. Forced by the COVID-19 pandemic to support remote work in new ways, many organizations struggled to deploy tools that met their performance needs, complied with their data safety regulations or even addressed their employees’ most common use cases.

With the lessons of 2020 still fresh, now is a great time for IT and business leaders to build an implementation roadmap for tools such as Microsoft Office 365. Here are seven steps they should consider along the way.

The massive move to remote work due to the coronavirus pandemic has undoubtedly posed challenges, but it’s also created a valuable opportunity. Remote work shines a spotlight on the employee experience and on IT security, and many organizations have realized that simply moving employees to home offices doesn’t sufficiently address either concern.

Instead, organizations are rethinking the technologies they use to support their teams, which may be quite different when those teams aren’t onsite. Enter unified endpoint management (UEM), designed to address the situation in which so many of us now find ourselves: making it both seamless and secure to work on any device and any network.

So. Much. Data.

According to some estimates, 90 percent of the world’s data was created in the past two years, and growth is only accelerating. While storage costs have dropped as data volumes have ballooned, organizations are still running into trouble when they don’t optimize their data storage environments for factors such as cost and regulatory compliance.

By embracing solid data lifecycle management practices, you can overcome major challenges — such as cost, retrieval, disaster recovery and management — and keep up with the rapid pace of your data’s growth.

Use cases for the Internet of Things have diversified quickly, but most applications are designed to achieve one (or more) of the following objectives: obtaining data for data-driven business decisions; having the capability to remotely control and monitor assets, such as digital signage or city lighting; and automating operations, such as a manufacturing production line.

Traditionally, the network infrastructure that supports business is focused on indoor switches, routers and access points. With the IoT revolution, often that’s the initial plumbing required to connect sensors, physical machines and wireless devices to the network. In recent years, companies have begun to expand the enterprise infrastructure and reach outside of the four walls of the business, leveraging IoT technology to work in new spaces that were previously unconnected — for example, with switches and routers hardened for outdoor environments connecting mobile devices back to business applications. Whether it’s controlling, monitoring or automation that’s needed, we’re no longer limited by building boundaries.

Advancing IoT yet again brings up three major challenges, and that’s where we’ll see a new wave of technological evolution.

In recent months, organizations across industries have been forced to adopt new approaches throughout their entire operations. Barbers started giving outdoor haircuts and accepting contactless payments. Schools have equipped their students and instructors with laptops, sent them home and invented new methods of teaching and learning on the fly. Sports teams have even played in empty stadiums, with professional basketball players enclosing themselves in a “bubble” for a COVID-free playoff tournament.

The pressures of the coronavirus pandemic have also led to changes in many data centers. This new business environment has forced companies to embrace modernization, especially those that may have previously lagged behind on needed changes.

Here are four ways that I’m seeing savvy IT and business leaders improve their data center infrastructure and operations through digital transformation.