Can you use fragmented data to make confident decisions?

Data silos

United Kingdom, Apr 28, 2026

A playbook for Finance and IT leaders

With shifts in the market outpacing annual planning cycles, and new regulations introducing higher levels of scrutiny than ever before, organisations find themselves having to react and make decisions at the drop of a hat.

Finance leaders are expected to deliver accurate forecasts amid volatility, and IT leaders are expected to keep increasingly complex hybrid estates secure, well-governed, and reliable. These pressures lead to data fragmentation across different spreadsheets, systems, and clouds.

Data fragmentation = unclear data oversight. If you can't see all of your data, you can't trust it, and if you can't trust your data, you can't trust the decisions you're making based on it. This isn't a challenge that either can overcome alone; Finance and IT have to work together!

Forecasting without fear

For many Finance teams, traditional planning processes are no longer fit for purpose. Annual budgets and static forecasts struggle to keep up with volatile demand, cost shocks, and shifting priorities. Instead of guiding the business, finance teams often find themselves stuck validating numbers and reconciling spreadsheets, making finance more reactive than influential. 

Time that should be spent on scenario analysis and strategic insight is lost to manual data checks and version control, eroding board-level credibility, especially when numbers can't easily be explained or justified under audit.
The impact this has on organisations is very real:

  • Opportunities are missed because forecasts arrive too late
  • Risk increases when decisions rely on intuition rather than evidence
  • Audit pressure rises as finance leaders struggle to defend numbers they don't fully trust

What finance leaders need is a shift from static planning to continuous, adaptive forecasting. Rolling forecasts, real-time "what if" modelling, and a single source of truth that allows finance teams to steer the business, not just reporting after the fact. When trusted data flows directly into FP&A processes, Finance regains confidence, visibility, and influence.

This is where modern planning platforms like IBM Planning Analytics play a role - enabling adaptive planning at enterprise scale while preserving the Excel experience finance teams rely on. When combined with IBM Cognos, organisations can align planning, reporting, and forecasting into a single coherent performance narrative. Delivered through Logicalis, this approach ensures technology translates into real-world outcomes, not additional complexity.

For IT leaders: Turning hybrid complexity into control

The challenge may seem different when viewed through an IT lens, but the consequences are just as serious. Data is scattered across on-prem environments, SaaS platforms, and multiple cloud services. Cloud migrations that promise agility often deliver new blind spots, integration friction, and governance gaps.

When insights are delayed or compliance evidence is incomplete, IT is frequently held accountable, even when the root cause lies in fragmented data foundations. This can cause fractures of trust in IT as a strategic enabler and increase risk during audits, security incidents, or regulatory reviews. The impact includes:

  • Frustration when analytics can't keep pace with business needs
  • Increased security and governance risk in hybrid environments
  • Escalating costs from forced consolidation or duplicate tooling

IT leaders already have enough dashboards to look at, and one-off integrations rarely work in the long run. They need a real solution: a governed hybrid data foundation that's easy to audit and maintain compliance, but flexible enough to allow analytics and planning teams to move fast when needed.

Technologies like watsonx.data are the backbone of this approach, enabling organisations to access and govern data across hybrid estates without forcing risky or expensive rip-and-replace migrations. When paired with Logicalis' operational expertise, IT teams can ensure platforms are adopted securely and optimised for long-term value.

Aligning for confident decisions

Confident decisions will only be possible once Finance and IT emerge from their silos, rolling plans only work when they're fuelled by trusted, governed data, and hybrid platforms only deliver value when they directly support business decision making.

By aligning Finance's need for agility with IT's mandate for control, organisations can modernise planning, analytics, and governance into one integrated decision platform. Allowing you to shift from fragmented data and reactive decisions to shared confidence across the enterprise.

In practice, this shift is already delivering measurable impact across industries. Global organisations such as telecoms providers have modernised enterprise performance management by replacing fragmented spreadsheets with a single, governed planning platform - supporting thousands of users with faster budgeting and forecasting cycles. In complex operational environments, airlines are using scenario-based workforce planning to model crew requirements in hours rather than days, avoiding over hiring while retaining confidence ahead of peak seasons.

Manufacturers and consumer goods organisations are applying rolling forecasts to balance volatile demand, energy costs, and inventory levels - using AI assisted planning to protect margins while responding faster to change.
Across finance, HR, and operations, the common thread is confidence: trusted, auditable data flowing into continuous planning processes that allow leaders to explain results, stress test decisions, and act decisively - without waiting for the next reporting cycle.

In partnership with IBM, Logicalis helps organisations across the UK & Ireland make this shift, combining IBM Planning Analytics, Cognos, and watsonx with deep expertise in hybrid cloud and data to turn complexity into clarity.

Ready to restore confidence in your decisions?

Discover how Logicalis + IBM turn fragmented data into confident decisions.

 

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