From our area of Data Governance, we help the client to create or improve the processes, areas, capacities of the people and tools to achieve an effective governance of data. 

• Data Governance Office: depending on your organization’s specific needs, it may require hiring a chief data officer (CDO), creating a new area, training in an existing area, or support in initiatives associated with developing teams and communities with analytical capabilities.  

• Master Data Management: consists of the administration and governance of the data shared by different areas / systems.   Typically in retail you start with the product catalog, while in the financial industry you start with the customer master.  

• Data Quality & Data Cleansing: the data is the raw material to obtain information, and as such we must implement processes and tools that ensure the quality of the data from its origin and facilitate the maintenance of its quality and correction.  

• Discovery Maturity Model: we divide companies into four maturity levels according to their analytical capabilities. The discovery process identifies where the company stands and what steps need to be taken to move to the next level.  

In the last ten years, advances in artificial intelligence and massive data processing have matured and these technologies are now widely available to businesses. We focus on rethinking processes using the new knowledge obtained from data 

•  This phenomenon generated a race where the most innovative companies can take advantage of these technologies to improve processes and become more efficient.  

• The results are capable of changing processes that before required from days to make a decision to seconds without any human interaction; or they can create new processes derived from knowledge that was previously impossible to access

•  Knowing the probability of a customer leaving, estimating demand online or estimating a failure in a machine is information of great value that companies can access; the organizations that make the best use of these technologies and adapt their business processes will be the most efficient in the coming years. 

New technologies generate new business processes or present the challenge of rethinking existing ones. We help implement projects that provide previously unknown information or information that was time consuming to process in order to fully capitalize on knowledge contained in the data.

Organizations have complex application maps and the information is distributed in different applications. The correct integration of data is fundamental to prevent duplication and redundancy, as well as to ensure its quality and integrity 

Using Business Intelligence, we help make a company’s existing information available to all areas in a simple and agile way so that they can make business decisions in a timely manner. 

• Business model consulting. 

• KPI and dashboard modeling. 

• Design and implementation of corporate data warehouses.

• BI implementation and migration to different technologies and tools. 

• Transformation ETL processes including internal and external information, structured or unstructured, online or batch data.

Our data-driven culture practices  assist in your organization’s transformation to become a company that is fully aware of the value of information as a competitive differential. 

• Addressing cultural change from a data-driven approach 

• Identify and communicate the commercial/business value of the data  

• Develop leaders and ambassadors who empower themselves and actively work to create cultural change  

• Design training, outreach and search activities for talent that forms a community capable of tackling changes  

• Raise awareness about the criticality of the information, its ethical implications and the responsibility for its protection and security