services>Digitalisation of information and processes> Data management and valorisation
Digitalisation of information and processes

Data management and valorisation

Our business specialists and data experts support you in identifying the value, justifying the ROI, and deploying a customised data chain.

Our engineers, architects and data analysts implement, step by step, a tool-based chain for capturing, structuring, processing and exploiting data.

Our approach is based on 3 key success factors:

  • the first and strongest vector of our differentiation: the contribution and presence of men and women in the business who ensure the chain of transmission with the subjects in the field and the end users,
  • the contribution of all the data skills (sometimes including partners) and enabling us to address any problem arising from the data business,
  • finally, the combination with our IT department to ensure liaison with your IT department and avoid going down a path that is contrary to the organisation's directives.

We opt for a hands-on approach with reasoned investments and technology solutions at whatever stage you are at:

  1. Data strategy
  2. Implementation of your use cases
  3. Scaling up: deployment of a customised data chain
  4. Data analytics and AI
  5. Data visualisation - Business Intelligence (BI)

1. Data strategy

In all organisations, data has become an essential fuel for scaling, optimising and developing business.

Nevertheless, it is not always obvious how to deploy a data strategy, many questions arise: what new services can be developed, what ROI can be expected, which use cases to start with?

This is why our teams offer to co-construct your data master plan and define a roadmap adapted to your context: governance, use cases, solutions, skills, etc.

This intervention aims to define a global approach to data, in order to guide you through the deployment of a Data Driven organisation or the implementation of a Data Centric system.

This know-how is based on a combination of experts who adapt to your organisation, your business and your challenges:

  • Businesses (Maintenance, Production, Operations, Quality, etc.)
  • IT (Urbanists, Cloud, Development, Infrastructure, etc.)
  • and Data (Data Architects, Data Managers, Data Engineers, Data Analysts and Data Viz)

This unique association allows them to initiate or optimise your Data platforms and will produce the key elements to enable you to succeed in your transformation:

  • audit reports,
  • roadmaps and blueprints,
  • data governance organisation,
  • use case matrix and ROI estimation,
  • studies, benchmarking and support in choosing solutions,
  • skills grids,
  • drafting of specifications...

2. Implementation of your use cases

In theory, it should be simple to come up with an idea, collect feedback and build a prototype to get a demonstration and validate the concept.

However, in reality, the majority of data science and machine learning professionals fail at every step of the process and, as a result, deliver solutions that rarely make it to production or post-launch and have no value (don't increase productivity, revenue or are simply not entertaining).

There is no magic bullet here and the process differs from company to company.

However, the use case validation process is structured, it will incorporate the following two main phases:

  • Ideation - defining the use case and preparing for prototyping.
  • Validation - building a prototype and measuring the results.

For the first phase, we accompany you in workshops that allow you to list all the ideas, to criterise them (problem, impact, value, data, complexity, ...) and then to qualify the most promising ones that will be prototyped first.

We close these exploratory phases with a synthesis of the main decision parameters such as: the objective, the opportunities, the technology, the approach to validating the required data, the team, the deadlines and the risks...

For the second phase, we support you in a rapid prototyping strategy.
We can also accompany you only in the provision of the data and the choice of the right algorithms.

The validation objective is not only linked to a technical arbitration, it is mainly linked to the construction of a prototype to evaluate the potential impact, the usefulness and the advantages of the solution intended for production.

In addition, we support you in assessing the effort, resources, timeframe and risks associated with the development of the final solution.

3. Scaling up: deployment of a customised data chain

Scalability is the ability to capture and process data as data and complexity increase.

The International Data Corporation estimates that global data volume will reach 175 zetabytes by 2025: 175,000,000,000,000,000,000,000 bits of data.
If useful data is lost in the middle of these oceans, it is in your interest to design a powerful system today.

The three challenges we face are:

  • Volume of data;
  • Velocity of data;
  • Variety of data.

Scaling is about the ability of systems to evolve to handle different kinds of data in large quantities and at ever increasing speeds. If you are suffering from latency or your customers are reporting slow systems, it is urgent to consider scaling up.

At LGM Digital, we work across the entire value chain of your data. We take care of:

  • the design of your data pipelines,
  • the structuring of exchange channels,
  • the de-siloing of the data,
  • enrichment,
  • cross-referencing with external data, etc.

Our BI engineers, data engineers and data architects support you from the needs qualification phase to the day-to-day provision of data. Their expertise allows them to intervene in the industrialisation or optimisation phases of your pipelines, but also in the implementation of tools for supervising your platforms.

4. Data analytics and AI

When the problems become more complex, the data too numerous and the correlations impossible to define, data analytics and AI take over.

The concept is to explore all available data using data science to better understand and correlate the data at hand. This makes it possible to highlight explanations, causes and, by extension, insights into the parameters to be controlled.

Our objective is to make the contributions of technologies such as artificial intelligence (AI) accessible to all organisations (large and small). Our models are designed either from scratch or from an existing system.

Finally, whatever your maturity, we support you at every stage of your journey:

  • understanding the benefits of data science through workshops, diagnostics or feasibility studies on your data and processes,
  • determining a master plan based on an analysis of your use cases and the associated ROI,
  • identification of responses to your challenges (service, environmental, downtime, etc.) by adopting an exploratory approach combining the best pre-trained or automatic machine learning models,
  • professionalising, industrialising and deploying AI systems at scale.

Our intervention can lead to the implementation of end-to-end systems (sensor, transmission and security of information, processing of the flow, AI and business restitution of the data, with a view to decision making).
This is the case, for example, with our MOKA (Maintenance Oriented by Knowledge and Analytics) solution.

MOKA is a complete and open end-to-end HUMS chain, from Plug&Play sensors to the Business Intelligence operating environment to optimise the operation and maintenance of all your systems and material assets (vehicles, industrial machines, capital goods, infrastructures, etc.).

This type of solution makes it possible to

  • instrument your systems with intelligent IoTs,
  • visualise the operation of your fleet of systems in real time,
  • correlate data to anticipate maintenance interventions,
  • and to carry out operational planning of your missions by optimising availability.

5. Data visualisation - Business Intelligence (BI)

The digitalisation of processes, the rise of the IoT with its ability to capture technical facts and the multiplication of storage and processing capacities, have revolutionised the opportunities for optimising complex systems, fleets, infrastructures and their support systems, which are at the heart of LGM Digital's expertise.

With the massification of available data, the complexity of data analysis and processing has also exploded, in line with the new perspectives for technical optimisation and value creation (real-time decision, informed decision, precise and anticipated modelling of systems and their behaviour, characterisation of technical facts, etc.), requiring the structuring of a separate profession.

Business Intelligence (BI) refers to all the resources, tools and methods used to collect, consolidate, model and restore data, whether tangible or intangible, from a given area with a view to providing decision support and enabling a decision-maker to have an overall view of the activity being processed.

The use of data can be automated or carried out by a decision-maker who, thanks to the formatting of the data, sees his decision-making facilitated: this is data visualisation.

Business Intelligence becomes necessary when the scope of processing involves a large quantity of dynamic data with a relational complexity that is too great for effective human apprehension:

  • extract meaning from complex data
  • guarantee the coherence and reliability of decisions
  • optimise the decision-making process
  • facilitate the transmission of information
  • ...

Data visualisation is essential as soon as there is information to be presented (infographics, presentations, etc.) to facilitate its use.

The classic process of data processing

The classic process of data processing

LGM Digital's Business Intelligence offer draws on the group's expertise in advanced technical data analysis, consolidated by excellence in the operation of information systems and reinforced by the contribution of various professions such as programme management, quality, media management, etc., to guarantee its pertinence. All this is supported by a mastery of the main tools on the market.

Our offer provides our business experts who can ensure all the functions essential to the exploitation and enhancement of data, including in massive volumes (big data). These functions are either assembled in a turnkey project (audit of the analysis of the need, collection function, integration function, dissemination, presentation and exploitation, decision support, performance measurement, etc.), or in the form of elementary bricks (ETL integration/exploitation, implementation of a report in Power BI, etc.).

LGM Digital also provides its know-how in the form of BI strategy consulting for the company, with a strong focus on ROI.

For a long time, this has been done in the form of Excel dashboards.
So why is there such a boom in tools such as PowerBI?

It is simply a question of absorbing the growing complexity.

For example, the demand for dynamism in data manipulation:

Or in the multiplicity of data sources:

LGM Digital consultants are trained in the main BI tools (such as Qlik, Sense and PowerBI), and in data workflow auditing, and in languages such as PowerQuery M and DAX.

They will therefore be able to adapt the existing reporting and tools to the exact requirements of the project for the best performance in reporting and steering.