You can’t escape big data. According to a report from SNS Research, companies will spend more than $30 billion this year trying to make the most of big data — by 2020, the market will reach $76 billion. And as Forbes points out, this data should enable companies to “deliver a real-time view of a customer base and segments that allow for previously impossible targeting, customization and personalization.”

But there’s a problem, a disconnect between big data and decision making that can leave companies frustrated, overwhelmed and without actionable insight. How do you close the gap?

A New Layer

First step? Change your perspective.

The current analytics market is top-heavy. Companies grab data as it comes into their networks and then store, analyze and spit out results — ideally, these results produce consumer insights. But this model ignores a critical layer: end-user (worker) IT. Without granular control over IT service management (ITSM) and security, it’s not possible to fully optimize an IT department or effect any kind of transformative change. The result? Big data potential is left untapped as companies struggle to match C-suite expectations with IT realities.

At Nexthink, we believe there’s a better way. It starts with our self-learning artificial intelligence, which discovers meaningful patterns in your day-to-day IT operations. From there, patterns are analyzed in real time to provide clear and actionable insights, moment to moment. In effect, we bridge the gap between your input (big data) and output (consumers) by providing visibility into your throughput (IT end-users).

But don’t take our word for it.

A Healthy Outlook

Healthcare is a critical field for intelligent IT analytics. Increased compliance oversight combined with the need for high-quality patient care means finding the ideal balance of accessibility and security — made more difficult by the inherently mobile nature of physicians.

Consider the Centre Hospitalier Universitaire (CHU) Amiens, which has more than 6000 distinct user profiles and 3500 workstations, all of which must be available 24 hours a day, 7 days a week. To manage their IT security and sheer volume of patient data from 1725 available beds, CHU turned to Nexthink. Our solution? Implement a system that actively detects abnormalities and continuously monitors workstations, then summarizes this data in dashboard format. Hospital management was able to identify IT pain points and make quick, confident decisions — Julien Rousselle, head of IT Security at CHU Amiens, praised the “simplicity, performance and ergonomics” of the deployment.

Building a Bridge

It’s time for a change. Big data has massive potential, but can get lost in the gap between collection and customer service. Instead of risking the jump, try building a bridge: Let Nexthink empower your IT analytics.