Driving Digital Transformation and Innovation with Data and Analytics
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Grupo AJE

Wilmer Rodriguez Ruiz, Data, Analytics & AI Manager/CDAO

Driving Digital Transformation and Innovation with Data and Analytics

Wilmer Rodriguez Ruiz, Data, Analytics & AI Manager/CDAO
Wilmer Rodriguez Ruiz, Data, Analytics & AI Manager/CDAO, Grupo AJE

In an ever-evolving world, how does a growing company stay on the cutting edge of innovation? This is the challenge of many companies that decide to embark on a digital transformation at scale, 

This is the challenge of many companies that decide to embark on a digital transformation at scale, but many continue to operate with high infrastructure costs and with little or no technological capabilities to take advantage of the opportunities of new trends in data and artificial intelligence. Added to this is the level of maturity of its business innovation culture. 

For companies to take full advantage of new trends, it is important to create a centralized, cloud-based corporate data platform to streamline its processes and manage its resources more efficiently. The company also needed to modernize its data and analytical solutions to empower data-driven decision-making across the organization. 

This will boost the adoption process of new technologies and allow them to mature their internal innovation processes quickly. Data is the cornerstone that allows us to take advantage of innovations. 

  We cannot be implementing artificial intelligence solutions if we do not have data and/or its quality is poor  

We cannot implement artificial intelligence solutions if we do not have data and/or its quality is poor. Artificial intelligence will use wrong information to process its algorithms. 

Building a Corporate Data Platform 

There are many cloud data platforms that can be implemented; it is important to consider those that ensure scalability, agility in their implementation, availability and continuity of their solutions in the long term, and that have a low-cost and low-code platform approach. This could reduce information ingestion and loading process times by 35%, reduce infrastructure costs by 15 to 20%, and optimize the execution times of your development team by 40%. 

Expanding Data Visibility for Innovation 

The data platform will help the company scale both its data and analytics solutions. For organizations with a huge workforce spread across many areas and countries, a central source of data is essential to promote data dependence in a work culture. Consolidating information in a data lake will help them reach all levels of each organization so that all decisions are based on data. 

Highly available data is only productive if a company has a workforce that can extract insights and analytics from that data. It is important to focus on upskilling employees so that they are data-savvy, self-sufficient, and able to apply quantitative tools to business strategy.

Increasing data-driven culture will simplify your daily operations, especially data visibility across departments. Previously, internal teams had to spend almost 40% of their time on manual information-gathering processes. This will allow you to have greater visibility across your teams so they can complete consultations and cost-benefit analyses much more quickly. 

"The important thing is to make the data available so that the organization is self-sufficient; each department has the information to make optimal decisions to achieve the company's vision." 

Investing in an IA-Driven Future 

As digital transformation progresses in your company, it is important to have the vision to continue looking for innovative ways. Developing a data-driven culture among your workforce and promoting the use of analytical tools will help them boost and possibly expand their business into new brands and/or new markets. 

With the prevalence of artificial intelligence and machine learning, it is necessary to create your own analytics services solutions to empower the workforce in an IA-driven culture (evolution of data-driven). Today, there are many technological and innovation opportunities so that companies can continue to grow and become increasingly profitable through the use of predictive analysis, self-service information and artificial intelligence applications.

The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.