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The Disconnect Between IT and the Business

Shayde Christian
Cloudera

IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most.

The disconnect is understandable because individuals in IT and the business have different skills, training, education, and focus, but it is also surprising in that IT and the business are beyond symbiotic, they are inextricably interdependent. Both teams can take strategic steps to bridge the divide. The first step is atop the building block on which their relationship was founded: data.

Siloed Data and Communication

The common language spoken by IT and the business is data. If data is fragmented, there isn't much to say because departments will only be able to form an isolated, incomplete picture of the business landscape and marketplace. As organizations fail to share data, its value diminishes: valuable insights are difficult to generate and decision-making fails to advance business aims.

Centralizing data ecosystems is critical to break down the silo between IT and the business.

The business must survey a holistic view if they are to accelerate corporate performance, advance strategic goals, and improve customer experience; therefore, IT must aggregate and consolidate disparate data stores onto centralized data platforms, the first step to envision future success through the elusive "single pane of glass."

Industry leading companies leverage modern data architectures to affiliate data silos: data lakehouse, data fabric, and data mesh. Such designs facilitate the effective democratization of data for enterprise-grade insight generation while securing data and appropriately restricting its access. Enterprise data platforms also facilitate proper data governance and improvements in data availability, quality, and integrity. Better data means better decision making.

Disparate Systems and Tools

With aggregated, secure, governed data, IT and the business can foster a culture of collaboration.

Implementation of common systems and tools promotes real-time sharing of information and ideas. Digital transformation initiatives streamline business workflows and multiply actionable data. Investments in intuitive visualization and analytics tools make insights easier to spot.

In addition to fostering collaboration, silo busting, and improving business outcomes, the rallying of IT and the business around digital transformation will cultivate common ground. IT will develop business literacy, and they may feel less like order takers if they are offered a seat at the table. The business will increase data literacy, and they may develop an appreciation for technical complexities and thankless back-office demands.

Misaligned Goals and Objectives

Strong leadership is essential to establish and sustain effective collaboration. Of paramount importance is shared vision. Cross-functional leadership must communicate and align around corporate strategic goals. Everything IT does and delivers should be aligned to established business objectives, and IT should be empowered to decline any requests that are not.

As the business, IT effectiveness should be measured by their contribution to top line and bottom line growth and customer experience. Attribution can be difficult but not impossible. Such tight-knit alignment also strengthens accountability within the business as more effort is applied to estimating the ROI of technology requests before they are submitted to IT. Consequently, innovation will become more intentional, and the business will get more benefit from their shared services organizations.

Objectives alignment is a powerful way to repair the disconnect because it gets IT and the business speaking the same language.

What does the business do?

"They're improving customer experience and efficiency to increase top line growth 15% and profit margins 7%."

What is IT doing?

"Same thing."

Shayde Christian is Chief Data and Analytics Officer at Cloudera

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The Disconnect Between IT and the Business

Shayde Christian
Cloudera

IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most.

The disconnect is understandable because individuals in IT and the business have different skills, training, education, and focus, but it is also surprising in that IT and the business are beyond symbiotic, they are inextricably interdependent. Both teams can take strategic steps to bridge the divide. The first step is atop the building block on which their relationship was founded: data.

Siloed Data and Communication

The common language spoken by IT and the business is data. If data is fragmented, there isn't much to say because departments will only be able to form an isolated, incomplete picture of the business landscape and marketplace. As organizations fail to share data, its value diminishes: valuable insights are difficult to generate and decision-making fails to advance business aims.

Centralizing data ecosystems is critical to break down the silo between IT and the business.

The business must survey a holistic view if they are to accelerate corporate performance, advance strategic goals, and improve customer experience; therefore, IT must aggregate and consolidate disparate data stores onto centralized data platforms, the first step to envision future success through the elusive "single pane of glass."

Industry leading companies leverage modern data architectures to affiliate data silos: data lakehouse, data fabric, and data mesh. Such designs facilitate the effective democratization of data for enterprise-grade insight generation while securing data and appropriately restricting its access. Enterprise data platforms also facilitate proper data governance and improvements in data availability, quality, and integrity. Better data means better decision making.

Disparate Systems and Tools

With aggregated, secure, governed data, IT and the business can foster a culture of collaboration.

Implementation of common systems and tools promotes real-time sharing of information and ideas. Digital transformation initiatives streamline business workflows and multiply actionable data. Investments in intuitive visualization and analytics tools make insights easier to spot.

In addition to fostering collaboration, silo busting, and improving business outcomes, the rallying of IT and the business around digital transformation will cultivate common ground. IT will develop business literacy, and they may feel less like order takers if they are offered a seat at the table. The business will increase data literacy, and they may develop an appreciation for technical complexities and thankless back-office demands.

Misaligned Goals and Objectives

Strong leadership is essential to establish and sustain effective collaboration. Of paramount importance is shared vision. Cross-functional leadership must communicate and align around corporate strategic goals. Everything IT does and delivers should be aligned to established business objectives, and IT should be empowered to decline any requests that are not.

As the business, IT effectiveness should be measured by their contribution to top line and bottom line growth and customer experience. Attribution can be difficult but not impossible. Such tight-knit alignment also strengthens accountability within the business as more effort is applied to estimating the ROI of technology requests before they are submitted to IT. Consequently, innovation will become more intentional, and the business will get more benefit from their shared services organizations.

Objectives alignment is a powerful way to repair the disconnect because it gets IT and the business speaking the same language.

What does the business do?

"They're improving customer experience and efficiency to increase top line growth 15% and profit margins 7%."

What is IT doing?

"Same thing."

Shayde Christian is Chief Data and Analytics Officer at Cloudera

Hot Topics

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...