How to succeed in ambitious data projects?

From insight to innovation: How data analytics shapes strategies

Recent analyses confirm that data analytics is a leading focus for IT investments across industries. A survey from Gartner’s 2023 CIO Agenda found that 55% of IT leaders plan to expand spending on business intelligence and data analytics, ranking it among the top investment priorities, alongside cybersecurity and cloud technologies. This surge is due to the growing demand for actionable insights that drive business decisions, operational efficiency, and innovation in client experiences. Key analytics trends, such as data visualisation, predictive analytics, as well as AI and machine learning, are reshaping how companies utilise data to streamline operations and remain competitive.

This shift is moving business intelligence (BI) and analytics work towards maturity, where the focus is no longer on simply replacing old reports or compiling data into warehouses for safety. Instead, companies are tackling genuinely challenging data projects where many business leaders have ambitious visions for leveraging data to drive breakthroughs.

Working closely with visionary clients has taught us several key lessons:

Start with the business problem and users

Successful data solutions begin with a deep understanding of the business problem and user needs. Often, too little attention is paid to user experience (UX) design, yet investing in UX can yield significant returns. Be wary if discussions start with technology rather than business needs. Initial efforts should focus on clarifying the business problem and user requirements.

Measure success by usage and impact

The true value of an analytics solution lies in its adoption and the impactful actions it enables. A sophisticated solution that goes unused is a failure. By prioritising user perspectives from the start, you reduce the risk of creating a solution that lacks business value. The most effective analytics tools are often simple and intuitive, encouraging voluntary use. Success is measured by the actions taken based on the analytics.

Simplify complexity

Ambitious data projects involve complex technical challenges, often solved through trial and error. A good analytics partner communicates these challenges upfront and prepares accordingly. Technical complexities should be managed by consultants, not clients. Delivering a straightforward business solution requires strong data skills, business acumen, and the courage to challenge clients constructively.

Commitment is key

Successful data projects require dedication from both the client and the analytics partner. Developing an ambitious data solution is akin to digital product development, demanding agile decision-making and problem-solving. Success is characterised by effective and bold collaboration among all parties involved.

Looking for a data-driven boost for your business?

At AFRY, we bring extensive experience in managing complex data projects and strategies. We’ve coined the term Data Experience (DX) to describe our unique approach. This approach combines robust expertise in data and analytics (Data), user-centric service development (UX), and extensive experience in business-oriented analytics solutions (Experience). By integrating these elements, we deliver ambitious analytics solutions that create meaningful and impactful data experiences.