Plain Concepts
Deriving Value from Data to Drive Innovation

Companies generate a massive quantity of data every day through interactions with their users. A vast amount of this data is stored in data repositories with unlimited business potential.

Plain Concepts generates a value chain on a client’s data with the help of cloud computing, AI, and ML. It transforms the data into useful insights, which help clients incorporate a robust data culture and evolve their business. It aims to optimise all business phases, from customised data platforms to data warehouses, enabling clients to use the knowledge gained from the data and improve their productivity and processes.

“In a world where the boundaries between physical and digital environments are blurred, our best bet is digital twins, where we virtually replicate all company assets, processes, and people. We connect them to achieve innovative and captivating solutions while incorporating the most cutting-edge technologies available,” says Quique Martínez Alén, CEO of Plain Concepts.

While engaging with top-tier enterprises, Plain Concepts tackles predicaments in the big data space by approaching the data with a primary assessment to know its maturity. It then defines a business case to generate a rapid value and detect end-to-end needs before developing a minimum viable product (MVP). Depending on the maturity of the data, Plain Concepts carries out the entire data curation, getting the maximum value in the smallest return.

Plain Concepts’ innovative 360-degree solutions enable companies to integrate new technologies and optimise their productivity and processes. It analyses which departments, organisational units, and business lines work and how they work, communicate, and move information and data flow before designing a plan to structure an effective information system.

Once the information system is structured, Plain Concepts outlines the project’s initial goals by determining and defining the data-moving strategy. Depending on the company and their departments, the data is consumed from Power BI, either raw or from an aggregated level. This data consumption is a three-layer process from where data lake structures, like the business lines and consumer applications, are consumed.

Having witnessed a global expansion of generative AI as well as its significant advances and applications pushed Plain Concepts to create an adoption framework for the technology. It helps companies identify the areas of their business generative AI can significantly impact and transform. The firm’s generative AI adoption accelerator combines best practices, explores critical trends, and helps clients identify and implement use cases that deliver the best outcomes.
What differentiates Plain Concepts is that it is a technology company that does business instead of a technology-oriented business company. It is moving from a consultancy label to a boutique model to have fewer people working on a client’s project and deliver higher level of dedication. This approach allows Plain Concepts to grow talent, improve customer satisfaction, and expand internationally.

Plain Concepts used its services to develop a tool called Excalibur for Repsol, a petrochemical and energy multinational that generates 3D geological models to simulate a reservoir. This makes it possible to visualise any analysis results naturally by combining geological data and analogous reservoir information. The technological development is advantageous as it compensates for the lack of data with a prototype analogue search that compares the new reservoir with similarly known reservoirs and reproduces the 3D model.

Having more than 450 employees and a local presence in the U.S., UK, Spain, Germany, and more has helped Plain Concepts develop more than 2,000 projects for clients across all industries. The firm strives to do things differently and constantly improve to provide the best services to its clients and the community.