Machine Learning Analysis on SME Data

SMEs often accumulate significant amounts of data from various sources but lack the resources or expertise to analyse this data effectively. Machine learning (ML) offers a powerful solution, enabling SMEs to leverage their data for competitive advantage. In today’s data-driven business landscape, harnessing the power of ML is crucial for SMEs to stay relevant and agile.  The service is intended to provide SMEs with an example of using advanced data analysis on an existing dataset to uncover valuable operational insights.

Benefits 

• Data-Driven Decision Making: Enhance decision-making processes. 
• Efficiency Improvement: Identify areas for operational efficiency and cost reduction. 
• Customer Insights: Gain deeper understanding of customer behaviour. 
• Risk Reduction: Better predict and mitigate business risks. 
• Innovation: Identify new business opportunities and areas for improvement. 

What to Expect

1. Data Assessment and Preparation: Evaluate and prepare SMEs’ existing data for analysis. This involves cleaning, structuring, and enriching the data to ensure it is suitable for ML. 
2. ML Model Development: Input the data into multiple Machine Learning algorithms to determine the most effective model. 
3. Analysis and Insights Generation: Utilize the ML model to analyse the data, uncovering insights. This process involves identifying patterns, correlations, and trends that are not readily apparent through traditional analysis methods. 
4. Reporting and Visualization: Provide a user-friendly report with visualizations of the analysis results. 

Takeaway

Through this service, SMEs will be empowered with a machine learning tool and demonstration of the techniques used to transform their data into actionable insights.

Service Information

Applicability: All SME sectors, including engineering, retail, manufacturing, and services.
Service Code: TP110
Delivery by: WiSAR, ATU Computing Department
Duration: 2-3 months, with incremental adjustments based on business size and data volume
Delivery Format: Combination of remote and on-site services.
Price: €18,000 – €24,000 depending on the quality of the dataset. (This cost can be 100% discounted for SMEs (under De Minimis State Aid*) and for public sector organisations)