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 MaturityModel: 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 toimprove processes and become more efficient.
The results are capable ofchanging 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 qualityand integrity