Value-Based Analytics: Unlocking value from your data

The transformative potential of data and analytics is widely recognised across industries. However, the journey to actionable and measurable value can be complex. infainite’s Value-Based Analytics aims to streamline this process by guiding teams and organisations towards sustainable value creation.

Core principles of Value-Based Analytics:

Prioritising initiatives based on realisable value
Generating value through insights, business intelligence and analytics solutions
Solving for opportunities rather than focusing on technologies
Simplicity of design and execution
Viability based on value and data feasibility

Complementing these principles are two critical factors for success

Alignment with organisational strategy
Efficient resource allocation

How is value created through analytics:

A pivotal aspect of a successful data strategy is prioritisation based on realisable value—understanding how value is created. Data and analytics solutions typically generate value in three primary ways:

One-off insights that facilitate enhanced decision making
Business intelligence that provides regular and flexible data availability to the right people at the right time
Analytics solutions that create a step change in capability and performance.

Measuring the value created by these approaches varies; while one-off insights and business intelligence can be subjectively assessed for quality and impact, analytics solutions can be accurately tracked to pre-defined financial metrics to assess success.

When value is somewhat subjective or complicated to isolate, such as high-quality dashboards that enable faster and more precise decision making. The critical aspects to consider are what questions we are trying to answer, and whether we have the right proportion of resources allocated to this work across our portfolio.

Challenges often overlooked:

Regardless of the approach to generate value, in our experience, we have found that many organisations do not necessarily take into consideration the following challenges:

Ease of implementation (or lack of):

Despite the availability of exceptional data solutions, organisations often encounter barriers such as low adoption rates and resistance to change. Value-Based Analytics tackles these challenges by:

Emphasising the pursuit of business opportunities rather than chasing emerging technologies
Prioritising simplicity in design which often yields the most effective results
Enhancing existing systems and processes without transformation costs. By refining core components behind the scenes, organisations can improve accuracy and efficiency without incurring transformation costs.
Delivering faster, cost-effective and sustainable value today

Data feasibility:

Practical data feasibility—working within current data availability and accuracy constraints—is another cornerstone of Value-Based Analytics.

While this approach may limit the scope of certain opportunities, it emphasises achievable, tangible value creation within a streamlined timeline

Enabling sustainable value with infainite:

These principles form the foundation of infainite's methodology for harnessing the power of data and analytics. By applying a pragmatic and commercially-focused perspective to modern data science and technological capabilities, we enable organisations—especially those with legacy systems— to unlock sustainable value.