From Data to Value on AWS

The Scenario

Modern companies collect vast amounts of data, but often struggle to derive concrete value from it. Having data is not enough—without a structured process that spans collection to analysis, data remains an untapped resource.

Most attempts to extract value from data focus exclusively on developing machine learning algorithms, neglecting key enablers like sourcing, management, governance, data security, and integration between departments.

This fragmented approach is the main reason behind unsatisfactory results or, in the worst cases, project failures.

Key Points

• Holistic Data Approach: Extracting value from data requires an end-to-end process, from data sourcing and management to advanced analysis and results delivery. Developing analysis logic alone isn’t enough; data must be accessible, clean, secure, and usable throughout the organization.
• Breaking Down Silos: Data often resides in isolated silos within organizations. Breaking these barriers allows information from different sources to be correlated, creating a comprehensive view that generates fresh insights and business opportunities.
• Governance and Security: Effective data management must include robust governance and security policies, ensuring that only the right people have access to the right information in the right way.
• Avoiding Common Pitfalls: Without a structured approach, data valorization projects risk failure due to incomplete data, lack of multidisciplinary expertise, and insufficient infrastructure.

From Data to Value

beSharp offers a complete “From Data to Value” service that supports companies through every phase of data valorization using the potential of AWS Cloud.

1. Data Sourcing and Integration

• Identify and collect data from all available sources, including machinery, databases, spreadsheets, or even physical records.
• Integrate this data into a centralized, scalable, and future-proof Data Platform, enabling secure and governed access.

1. Data Management and Governance

• Clean, normalize, and transform data to ensure quality and usability.
• Implement governance and security policies to control access and ensure compliance with regulatory standards.

1. Advanced Analytics and Machine Learning

• Use advanced tools to analyze data and uncover patterns and insights for strategic decision-making.
• Develop and deploy custom machine learning models with AWS SageMaker to predict trends and automate processes.

1. Visualization and Serving

• Create interactive dashboards and reports to make insights easily accessible to all stakeholders.
• Implement systems to transform insights into tangible actions, such as process automation or real-time alerts.

1. Continuous Improvement and MLOps

• Monitor model performance and retrain periodically to keep models up to date with fresh collected data.
• Apply DevOps practices to Machine Learning (MLOps) for efficient, scalable model and application management.

The Benefits

Choosing beSharp for your “From Data to Value” project ensures a unique approach that centers on the success of your initiatives:

• Flexible and Tailored Solutions: Starting from the business value, we design customized projects that deliver quick results while adapting to evolving needs. Our agile approach ensures steady progress and measurable outcomes.
• Proven Cloud Data Expertise: With over 13 years of experience, we’ve delivered numerous successful data-centric projects, supporting leading companies in Cloud adoption. Our deep AWS expertise ensures efficient execution and reduced project risks.
• Multidisciplinary Team: Our team combines advanced Cloud and Data expertise, featuring Solutions Architects, DevOps Engineers, Data Scientists, and Data Engineers. This in-house expertise ensures continuity and quality across all phases of the project.
• Accelerated Time to Value: Our technology-driven approach significantly reduces the time needed to achieve tangible results, accelerating ROI and giving you a competitive edge in adopting innovative technologies.
• Continuous Support and Long-Term Partnership: We believe in fostering long-term partnerships. Through on-the-job training, we share our expertise with your team, building internal skills and operational autonomy. Even after project completion, we provide ongoing support to ensure solutions remain effective and evolve with your needs.

Working Together & Next step

1. Initial Assessment Workshop: We’ll identify available data sources and align your business objectives with available resources.
2. Customized Implementation Plan: We’ll develop a detailed roadmap covering all phases of the project, from technical requirements to staff training.
3. Proof of Concept (PoC): We’ll execute a pilot project on a specific use case to validate the value and effectiveness of the proposed approach.
4. Full Implementation and Continuous Support: We’ll extend the approach across the organization, providing ongoing support to optimize and update the implemented solutions.