Blog Smart Insights

World Water Day: Efficient use of water as a priority goal

World Water Day is celebrated every 22 March and this year's focus is on the "value of groundwater and making the invisible visible".

With this year's World Water Day, the UN is calling for the study, protection and sustainable use of groundwater to survive climate change and to meet the needs of a growing population.

More than 40 percent of the world's population is affected by water scarcity. This means that three out of ten people lack access to safe drinking water and six out of ten people lack access to safe sanitation facilities.

This celebration also aims to raise awareness of the global water crisis and the need to seek measures to address it so that we achieve the Sustainable Development Goal (ODS) number 6: Water and sanitation for all by 2030.

So this is a good day to remember that investment in efficient water management solutions is not just necessary, it is mandatory. The road to sustainability has a fundamental pillar in the treatment of our water. The management, monitoring and control of our societies' water systems is essential to be able to take measures in advance and mitigate the imminent effects of climate change.

The Elliot Cloud Solution

Elliot Smart Water is a sustainable, unique, innovative and technological solution that connects and manages all types of devices, enabling rapid deployment of secure and scalable systems, facilitating remote water monitoring and wastewater collection and treatment.

Our solution facilitates the digitisation of water management through an ecosystem of native solutions designed from its creation to add more value to the business in its critical processes and dimensions, reducing complexity and increasing its efficiency and profitability.

The present demands technological solutions and our future depends on sustainability, Elliot Water is the balance and enables decision making based on data analytics for a better and more efficient management of the integral water cycle.

Elliot Waterm

Elliot Smart Water features:


In real time of the different components of the water network (meters, pressure sensors, etc.),


All your networks and treatment plants monitored and controlled in a single software.


Customisable chronological log of all configured events and alarms.


Event and alarm management. Creation of business rules and customisation of the sending of alarms and/or notifications.


Customised creation of dashboards for graphical data visualisation. Advanced data analytics using Big Data and Artificial Intelligence.


Execution of regulatory orders.


Open software that gives you full transparency in data transmission and analysis,


By means of State Estimation Techniques and correct data collection, we generate algorithms for predicting leaks in the network.


We provide the evolution of your current SCADA without losing the investment made. Collection, interpretation, standardisation and delivery of data from any server or SCADA controller, allowing the expansion of new devices. All your plants and water networks are integrated into a single monitoring, control and analytical software.


With SCADA, Geographic Information System (GIS), hydraulic modelling system and asset control system.

Blog Lean Manufacturing Smart Insights

Lean Manufacturing & IoT

Lean manufacturing aims at truly efficient manufacturing.
With the help of IoT This is achieved by enabling teams and tools to automatically collect data, share it and even interact with information from other data sources, as well as with other processes, opening the organisation's doors to a new way of working.
By accessing and centralising data from equipment and processes, IoT technology is able to provide manufacturers:

  • A new level of visibility.
  • Access to real-time performance data.
  • Instant knowledge of all global operations.
  • Possibility to balance and optimise scheduling on the fly, during the production process, adapting to market variability.

Far from simply monitoring throughput, quality or equipment failure records, this new approach has the ability to configure an optimal manufacturing scenario based on current demand. Operations can be successfully completed by making changes to production, processes or facilities to ensure optimal conditions for managing demand at any given time.

But that's not all, the advantages don't end there, because in addition to the typical production scenarios, intelligent equipment will be able to:

  • Monitor themselves and improve their own performance, such as energy usage, to avoid peak demand charges. Automated preventive maintenance becomes possible as the machine knows and communicates its own status of required corrective actions, keeping it running at optimal productivity.
  • Suppliers can better manage the delivery of parts into inventory, which can be automatically replenished based on real-time data.
  • Automatically adjust equipment settings to minimise waste.
  • Streamlining production processes. As more companies incorporate new IoT and analytics capabilities, they are transforming their manufacturing processes. Such as predictive maintenance enabled by predictive tools and machine learning, identifying and correcting potential problems before they occur.
  • Improving after-sales service. This is another area where lean manufacturing increases its value thanks to IoT. Support is improved thanks to new levels of product connectivity and the information provided by sensors and devices. Manufacturers can effectively collect data from customers in use. And so improve service and support.

The benefits of IoT for lean manufacturing extend far beyond processes within a single organisation. IoT can help optimise the interaction between manufacturers, suppliers and other business partners, improving the flow of information about materials, demand and product usage. At the same time, the internet of things in lean manufacturing is the beginning of a renewed value proposition that only strengthens the bond with the customer and fosters customer loyalty to the brand.

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