Navigating IT Complexity: How to Move Your Organization in the Right Direction
What’s the first thing that comes to mind when you think of IT? If you surveyed a group of IT professionals, the answers would likely be diverse: technology, processes, services, software, data, applications, innovation. Each individual’s response would depend on their role within the IT organization — whether they’re focused on planning for the future, keeping the lights on, developing improvements, or some combination of the three. The concept of IT encompasses so much more than it once did, causing further confusion and operational IT complexity for those in the industry.
In a recent global survey, 61 percent of IT leaders said IT projects are more complex now than they were five years ago. Fifty-eight percent also claimed that IT projects today are more ambitious than in years past. Modern IT roles extend far beyond positions of previous decades — organizations must address demands for support and resolve ongoing technical issues while also leaving space to improve processes, maximize resources, and innovate.
Technology Is the Answer, But Also the Problem
More and more, division heads are turning to new technologies to get a handle on IT projects escalating in duration, difficulty, and desired outcome. In fact, two-thirds of IT leaders are planning to increase their technology budget for 2018. And Gartner predicts a global spending increase of 8.6 percent for enterprise software within the next year — the largest area of growth across Gartner’s categories by a significant margin.
Despite the positive movement for technology budgets, it’s unclear whether IT leaders know what to buy or where to begin. With so many different applications available to solve diverse needs, it’s no surprise decision makers are struggling to pinpoint the most worthwhile investments. Among the many possible queries that IT leaders are considering:
- Do we need to prioritize systems built for productivity, security, virtualization, or another category?
- Which comes first, data organization or analytics?
- Should we look for applications with AI and other cutting-edge capabilities, or those that can fully integrate with our existing IT systems?
Plus, as decision makers expand their IT budgets to accommodate the ever-growing list of must-have technologies, these choices further complicate their network of systems. Leaders end up in a Catch-22 — they need new and better technologies to effectively run their IT organizations, but with each additional technological investment they add new levels of complexity to an already delicate infrastructure. Not to the mention the vast amounts of unstructured data that accumulate with each addition.
Factoring in the Data Headache
Speaking of data: the expanding collection of information among organizations is a common thread of IT complexity. Your organization likely has most, if not all, of the details you need to address your IT challenges within already amassed data. However, you have so much data that sifting through it can take forever. Of course, your data is also being stored in so many different places that it’s virtually impossible to grab all the right bits and pieces from each system of record.
The amount of data captured in siloed systems has become a catalyst for IT leaders to move beyond traditional data hacks. Building DIY connections between systems or manually exporting data into spreadsheets only increase the complexity that IT organizations endure. Just dealing with that data headache can cost your team thousands of dollars or hundreds of hours (or both!). And now you’ve run out of resources to address the other complications impacting your IT processes.
How a Unified System of Intelligence Can Help Manage IT Complexity
Of course there’s no magical solution to these sophisticated problems around data and IT complexity. But we often find that business leaders are missing a crucial lense through which to fully see and understand their IT organization. And that lense could mean the difference between fighting an uphill battle to address one issue versus using a view of the complete picture to achieve widespread improvements.
Organizations seem to think they need the right systems or processes in place before they can consider adding intelligence tools into the mix. But the truth is that analytics and intelligence applications can help you get a handle on IT complexity, chaotic data, disorganized processes, and any other challenges you might be grappling with.
Numerify made a name for ourselves by providing analytics for ITSM teams and processes. But we also saw that the needs of IT organizations extended far beyond our initial target demographic. We wanted our customers to be able to address a multitude of IT challenges beyond their service desks, which is why we’ve developed a single system of intelligence. Now customers can employ analytics to refine all areas of their IT organization across labor and resources, projects and spend, application development and asset management, and support and operations.
Learn more about Numerify’s IT system of intelligence™ in our recent press release. And stay tuned for a follow-up post detailing how real customers are leveraging our system of intelligence to drive value across IT.
[Image credit: Unsplash.]
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