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Why Do Data Projects Fail?

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Posted on:

September 26th, 2024

Posted in:

Insights & Thought Leadership

Why Data Projects Fail and How to Ensure Success.


Data projects are often approached as a technical initiative but common reasons for failure often extend far beyond technical challenges. 

While technology plays a crucial role, it is strategic missteps, data management issues, and mismanagement of requirements/expectations that frequently derail projects. 

Understanding these underlying factors is essential for turning data aspirations into successful outcomes.

Lack of Clear Objectives and Strategy

Directly related to the often-seen consideration of data initiatives as technical rather than business-driven undertaking, a failure to define specific and measurable goals for such projects is directly linked to a negative wider business view upon completion.

This or a misalignment between project objectives and overall business strategy, based on a lack of communication prior to the inception of the project hinders an organisations progression to a data-driven future.

Once a data project is viewed from a business or organisation’s strategic point of view, a more in-depth conversation involving multiple departments leading to an agreement on both business and technical outcomes for the investment, sets the project up for success. 

A Data Partners Role in Strategy and Objectives

A data partner should offer commercially aware expertise rather than a purely technical service. Laying the foundations for stakeholders across your organisation to leverage your data to drive success begins with the approach you take when implementing your data projects.

Clekt has been built to offer fully-rounded support for our customers and are proud to say we are a team of data AND commercial strategy experts.

This enables us to uncover the business objectives our customers require from each project and the best route to achieve them from a commercial standpoint.

Implementation and Adoption Challenges

There can be many challenges through the implementation and adoption of data initiatives.

Lack of skilled resources to execute the project effectively

Working with data involves a specialist skillset, one which many organisations do not have in-house. Some organisations opt to up-skill existing employees in an attempt to deliver data projects internally, but the timescales involved makes it impossible to deliver an effective outcome from a business perspective.

A data partner can offer a reservoir of key skills, ensuring you can tap into each specialised resource as required. Replicating this internally is often financially unviable, especially in the earlier stages of data maturity.

Resistance to change within the organisation

Data and AI has been a hot topic of conversation in every industry in 2024, but there is still resistance to change within some businesses.

Recent developments within the data space mean that data science, AI and other advanced use cases of data are now available to nearly all sizes of businesses or not-for-profits. 

This is where a proof-of-concept can prove invaluable. Once a business-case is built via a POC and value is proven, this ripple can empower stakeholders across the organisation to drive change towards being data-driven.

Insufficient focus on translating insights into actionable outcomes

Sitting hand in hand with the perception of a data initiative as a technical-only project, an insufficient focus on translating insights into actionable outcomes can leave any data project languishing. Clearly established outcomes build a strong narrative around the value of data projects within the organisation. 

This is what we strive to work with our customers to help them achieve.

We unlock the value of data to drive success as a partner with our customers. Get in touch via the form below today to discuss how we can support you in ensuring your data project is a success! 
 


 

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