A survey by Cybozu has revealed that IT budgets at large companies are on the rise. The top investment priorities are “security-related” and “generative AI.”
At first glance, this seems like good news. However, the same survey also found that “approximately 40% of companies position their business strategy and IT strategy separately.”
Even if budgets increase, if how the money is spent isn’t aligned with the business strategy, the effectiveness is halved. In fact, it might just increase wasteful investments.
This article analyzes the risks behind IT budget increases and considers the criteria management should use for investment decisions.
Breakdown of IT Budget Increases and What Lies Beneath
According to Cybozu’s survey, IT budgets at large companies are trending upward. Investments in “security-related” and “generative AI” are particularly notable.
The increase in security investment is driven by the sophistication of cyberattacks and the rise in ransomware damage. Investment in generative AI likely reflects expectations for operational efficiency and new business creation.
However, the key point to note here is that “just because the budget increased doesn’t mean it’s being used appropriately.”
Behind the budget increase lurk risks such as the following.
The Risk of Security Investment Becoming an End in Itself
The mindset that “as long as we have security measures, we’re safe” is dangerous. Security is merely a means; the goal is business continuity and maintaining customer trust.
Even if you implement the latest security tools, their effectiveness diminishes if employee literacy is low. Additionally, excessive security measures can reduce operational efficiency and harm productivity.
It’s crucial to set key performance indicators (KPIs) to measure the effectiveness of security investments and review them regularly.
The Risk of Generative AI Investment Becoming a Bubble
Generative AI is indeed an innovative technology, but excessive expectations are running ahead. Investing based on vague hopes like “something will change if we introduce it” is dangerous.
Implementing generative AI requires proper data preparation and prompt engineering skills. Attention must also be paid to the accuracy of outputs and ethical issues.
It is wise to start generative AI investment with small-scale proof-of-concept (PoC) projects, verifying effectiveness before scaling up.
Waste Caused by the Lack of Alignment Between Business and IT Strategies
Cybozu’s survey found that about 40% of companies position their business strategy and IT strategy separately. This is a major obstacle to maximizing the effectiveness of IT investments.
When business and IT strategies are not aligned, the following problems occur.
Proliferation of IT Investments with Mismatched Objectives
If the business strategy is “acquiring new customers,” IT investments should prioritize things like “implementing marketing automation (MA) tools” or “building a customer data platform.”
However, without alignment, individual departments introduce tools independently, leading to a lack of overall coherence. This results in siloed data and redundant systems, generating unnecessary costs.
Difficulty in Measuring Investment Effectiveness
To measure the effectiveness of IT investments, the “purpose of the investment” must be clear. If aligned with the business strategy, effectiveness can be measured using specific metrics like “increased sales” or “improved customer satisfaction.”
Without alignment, evaluations tend to use metrics disconnected from the original purpose, such as “system uptime” or “reduced inquiry response time.” This makes it impossible to measure the true impact of the investment.
IT Department Overwhelmed by Business Unit Demands
Without alignment between business and IT strategies, the IT department cannot prioritize requests from various business units and is forced into reactive, ad-hoc responses.
As a result, the IT department becomes a “jack-of-all-trades,” unable to allocate resources to the strategic tasks they should be focusing on. This is one of the root causes of the problem where IT departments fail to understand the business.
Criteria for Management Investment Decisions
Now that IT budgets are increasing, management must make冷静な判断 (calm and rational decisions). Please use the following three criteria as a guide for investment decisions.
Clarify the Objective
The objective of an IT investment must be linked to the business strategy, such as “increasing sales,” “reducing costs,” “mitigating risks,” or “improving customer satisfaction.”
Don’t invest just because “it’s for security” or “it’s generative AI.” Clearly define how the investment contributes to the business strategy.
Set Metrics to Measure Effectiveness
Once the investment objective is defined, set key performance indicators (KPIs) to measure its achievement. KPIs should be specific and measurable.
For example, if the objective is “improving customer satisfaction,” set KPIs like “Net Promoter Score (NPS)” or “customer referral rate.” Setting KPIs allows for objective evaluation of the investment’s effectiveness.
Start Small and Validate
Large-scale IT investments carry risks. It is wise to start with small-scale projects, verify their effectiveness, and then expand.
Especially for new technologies like generative AI, evaluate their applicability to actual business operations through proof-of-concept (PoC) projects. Make the decision for full-scale implementation based on the PoC results.
Summary
Increased IT budgets represent a significant opportunity for companies. However, to capitalize on this opportunity, alignment between business strategy and IT strategy is essential.
Don’t invest hastily just because the budget has increased. Clarify the objective, measure the effectiveness, and start small. Keep this fundamental principle in mind and turn IT investment into a strategic weapon for management.
Management should not leave IT to the “specialists” but should define and decide on it themselves. That is the shortcut to true DX success.
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