[Our Approach]

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Data Integration & Analytics: we make it happen!

 

Understanding your business and needs is crucial for providing top-notch consultancy. Our approach incorporates methodologies like 5W1H and APA Cycle, enabling a thorough diagnosis and comprehensive study of your company.

 

APA [Analyze | Plan | Act] CYCLE

This methodology can be applied to different phases and aspects of Data Integration & Analytics consultancy, including both strategic planning and definitions, as well as data integration and analytics development.

Through this approach, we conduct a detailed analysis of processes and identify areas with potential for improvement, enabling the definition of effective solutions and goals.

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Analyze

Assess technology, processes, people and data aligned with company objectives.

• Gain insights into the organization's strategic goals by analyzing how technology, workflows, workforce and data management contribute to achieving objectives.

The assessment identifies strengths, weaknesses and opportunities for improvement.

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Plan

Building upon the results of the assessment of technology, processes, people and data. The planning phase utilizes the findings to develop a strategic roadmap.

• Set specific goals
• Identify required resources
• Define actionable measures
• Assign responsibilities to address identified weaknesses, leverage strengths and optimize performance and overall success of the company.

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Action

Implement the defined strategies and execute planned actions.

• Technological enhancements
• Process refinement
• Address skill gaps
• Implement data management practices

All aligned with established goals and driving positive outcomes for the company.

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5W1H

5W1H is an approach to gather comprehensive information about a project or task. The use of 5W1H helps ensure that all aspects of the project are clear, enabling better management and communication among team members and stakeholders.

Each letter represents a question to be answered:

 

What 

What will be done? What is the main objective of the project?

 

Why 

Why is this project important? What are the expected benefits?

 

Who 

Who is involved in the project? Who are responsible for each activity?

 

When 

When will the activities be done? What is the schedule?

 

Where 

Where will the activities be executed? What is the physical location, if relevant?

 

How 

How will the activities be executed? What methods and resources will be used?

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By integrating these methodologies into our Data Integration & Analytics consultancy, we make the process of data analysis more efficient, well-structured and communicative. This ensures more effective decision-making and the acquisition of relevant insights for the success of your business.

Types of Projects:

STRATEGIC PLAN

Strategic Planning and Definitions

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We also adopt the Joint Application Design (JAD) methodology for Strategic Planning and Definitions projects. This methodology is crucial as it allows involving all stakeholders right from the beginning of the project.

By bringing together representatives from different areas and expertise, JAD facilitates collaboration and communication, leading to a comprehensive understanding of project requirements and objectives.

Furthermore, it promotes swift and efficient decision-making, streamlining the process and enabling the delivery of high-quality outcomes within the established timeframe and budget.



DATA & ANALYTICS

Data Integration and Analytics Development

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Our projects of this type involve the application of the Waterfall, Scrum and Data Analytics Lifecycle methodologies, each playing a crucial role.

Waterfall ensures a structured approach for well-defined requirements. Scrum brings flexibility, allowing adjustments and iterations in dynamic scenarios. Data Analytics Lifecycle focuses on the quality and efficiency of data collection, processing, analysis and interpretation stages.

When combined, we achieve successful projects. Our hybrid approaches optimize workflows, maximize delivered value and generate robust and innovative outcomes. This way, we are prepared to tackle the challenges of the data world.

 

Share with us your goals and challenges in Data Integration & Analytics

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