We take care of turning your company into a Data Driven Organization to get the most out of data, delivering value to all areas of the company.

The objective of this service is to carry out an assessment of the Data Strategy in order to obtain a roadmap to turn it into a Data Driven Organization.

After the service you will have a strategy and a defined plan that describes the people, processes, technology and data needed to achieve the objectives in both data management and data analytics.

You will be able to build your roadmap to become a Data Driven Organization.


Data and Analytics

Data Strategy.

A well-developed data strategy is the backbone of informed and successful business decision making. We help you collect, organize, analyze and use your company’s data to achieve your strategic objectives.

Data Architecture.

We design and implement a robust and flexible data architecture for your business. We include all the components that make up the data ecosystem: from data sources to analysis and visualization tools, creating a scalable and secure infrastructure.

Data Analytics.

Through statistical techniques, pattern analysis and visualization, we turn raw information into actionable insights that help you make better decisions, optimize your processes and drive your business forward.

Visualization and Reporting.

We transform data into intuitive graphs, charts and maps that make it easy to understand. We co-create concise, actionable and automated reports that enable you to make strategic decisions.

Data Engineering and Integration.

We build and manage your data ecosystem: extraction, transformation, storage and analysis. We integrate silos and SaaS applications for a complete view of information.

Service Activities

We help our clients through 3 activities well marked with milestones and deliverables:

1. Identify business objectives and challenges

  • Business and IT stakeholders will be interviewed to gain a thorough understanding of their business objectives, current obstacles, and specific use cases where data can support their objectives.
  • Understanding business objectives will be the basis for prioritization of technical projects
  • Document current data barriers, limitations, and challenges and develop a plan to tailor a solution to address each of the issues
  • You will identify the most valuable areas of the business that can be improved with data and analytics, and how data can support your business objectives within specific use cases.

2. Assess and capture the current status

  • Maturity in data management and analytics will be assessed.
  • Inventory the tools, technologies and systems in use.
  • Identify functional inadequacies in the systems to manage basic data requirements and map them to current data bottlenecks, limitations or challenges.
  • It will be made clear whether there is a need to maintain current operational systems through upgrades or create new solutions to fill the functional gaps.
  • Assess current skills and competencies related to the use of data.

3. Design the proposed future state

  • Design the future state by describing the people, processes, technologies and data needed to achieve your objectives.
  • Identify key KPIs and metrics.
  • Create a backlog of prioritized initiatives and use cases.
  • A reference data architecture will be designed.
  • Define the technology stack to be used.
  • Dashboard wireframes will be designed.
  • Define the roles and responsibilities needed to succeed with the recommended future state architecture.