Why data doesn’t drive decisions

Data that is refined and well-presented aids management in making informed decisions.

IN boardrooms across the world, leaders repeat a familiar mantra: “We are a data-driven organisation”.

These leaders are surrounded by more data than at any point in history.

Dashboards, KPIs, scorecards and real time analytics promise clarity and precision, yet despite unprecedented access to data, many organizations still struggle to make timely and high-quality decisions.

The uncomfortable truth is this: data does not drive decisions, leadership does.

Data is an integral input, but it is not a substitute for judgement.

It highlights trends, identifies risks and informs decisions.

Data cannot make choices or take accountability for outcomes.

When leaders expect data to “decide”, organisations stall, waiting for perfect information that rarely arrives.

Meanwhile, opportunities pass and momentum is lost.

Data is an enabler

Data that is refined and well-presented aids management in making informed decisions.

It also provides insights about the market conditions so that the decision-makers can make strategic decisions while helping them to make informed choices about the specific market to venture into.

Data as an enabler helps management in coming up with a relevant strategy to manage risk without disrupting the running system and production flow.

Data optimises processes from supply chain management to marketing while reducing costs and waste.

Moreover, data can aid ecosystem partnerships when creating new products or new business models.

Companies that leverage data can adapt faster and innovate more effectively, and gain a competitive edge over their competitors.

Analysing customer data helps businesses in understanding customer preferences and behaviours of a particular segment, as that will help the company to tailor make a product for such a particular segment.

Employees can use data to explore and collaborate.

Data provides insights

Data can be available, but when the management lacks the skillset or know-how on how to analyse it for effective use, it would be difficult to provide insight.

The manager has to possess skills to analyse data to address the challenges and needs of stakeholders, such as customers or employees.

A skilled and experienced manager will be able to analytically use data to identify bottlenecks and optimise resource allocation.

Such information could be used to spot emerging trends, seasonal shifts, and new opportunities.

Such data will help management to anticipate potential problems and assess the risks, and design different strategies before they could engage in an investment.

After analysing and evaluating data, the management will use selected information to analyse performance and provide feedback to identify gaps and strategically plan for the future.

Data overload is a common failure

A manager has to design a system and a process to manage data well so as to avoid data overload.

Failure to effectively manage data usually leads to serious consequences such as delayed decision-making.

Having too much information might lead to failure to make prompt decisions which might lead the organisation to miss opportunities.

Information overload disrupts production time as the employees would spend valuable time sifting through jumbled up, disorganised information instead of concentrating on the core task.

Some workers might plunge into mental stress and fatigue, consequently leading to higher labour turnover.

Notably, without clear focus on the most relevant metrics, critical insights can get buried in the noise, resulting in poor decisions based on inaccurate or misleading data.

Misaligned metrics are a challenge for organisations

There are performance indicators that appear to measure success, but actually conflict with the organisation’s vision and mission.

Such a misalignment leads to counterproductive behaviours and wasted resources, because team members optimise for the wrong targets.

Some of the key signs of misaligned metrics include a lack of context.

Here, the teams will provide numbers without understanding the underlying drivers or external factors, leading to misinterpretation.

Moreover, misaligned metrics just provide numbers that lack connection to the organisational goals.

They prioritise quick wins while ignoring crucial non-market values like social impact.

Leaders understand that judgement is the differentiator

Leaders need to possess skills and capacity to make sound decisions when they are faced with complex and ambiguous situations.

Their judgement will provide clarity in attaining set objectives and for scalability.

Good judgement usually boosts the morale of the team members, leading to high productivity.

When the management explains the reason behind a good judgement in complex situations, that often builds trust and aligns team members to the core objective.

Competitive advantage does not come from having more data than others.

It comes from making better decisions with the data you have.

Data illuminates the path, but leadership determines the direction.

  • Innocent Hadebe, with 25 years of experience and credentials as a John Maxwell certified business coach, serves as a trusted executive advisor through Innocent Leadership Group (ILG), empowering global leaders to think boldly, lead transformational change and turn operational complexity into measurable success

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