Category "Artificial Intelligence"

Fashion industry and data: the new digital revolution

Artificial Intelligence, Business, Data, E-commerce, , , ,

Over the last decade, the application of big data is at the heart of every industry. And it’s changing how businesses operate; including the fashion industry. In fact, technology is taking the fashion industry to the next level. And with the COVID-19 pandemic, it’s even growing faster. Actually, brick and mortar stores are switching to online. Fashion retailers are now using data science to capture insights and make data-driven decisions.

From predictive analytics and AI algorithms to foresee trends; to data mining techniques to personalize products; data reshaped the notion of fashion.

Here’s how data science has become the hottest trend in the fashion industry 

Precise personalization for target customers

The future of the fashion industry relies on personalization. That is the era of mass production is over. Fashion consumers are only interested in items relevant to their preferences. Given that reason, the use of data analytics becomes crucial to provide personalization. Starting from the design stage, big brands are already taking advantage of big data. For example, Zara and Ralph Lauren are leveraging behavioral data for customer segmentation. Behavioral data allow retailers to predict their customer’s future movement patterns. For instance, analyzing purchasing time can tell when customers are likely to buy. Social media sentiment analysis using machine learning applications can measure customer engagement. Hence, a refined customer understanding through thoughtful market segmentation will help in personalization.

Data will Help in Trend forecasting

To succeed in the retail industry, brands need to predict trends and Keep in line with the ever-changing customer tastes to increase sales. Years ago, retailers relied on information gathered during fashion weeks to foresee trends. The game has changed. With the presence of social media, trendsetters are no longer designers and retailers. Instagram influencers, Tiktok and Pinterest users are now the new trendsetters. With the COVID-19 pandemic, the consumer is now spending more time online. And that with an average of 53 minutes per day. They are sharing what they like and dislike; what they bought. Thus, more data is available, so retailers can leverage these data to gather insights. So, using advanced analytics, they can make changes and improvements.

Data will optimize the inventory

With fashion trends changing every season, it’s a challenge for brands to make sure that demanded products are in stock. Using predictive analytics, retailers estimate the “shelf-time” and identify the most requested products. Fashion brands can estimate the demand for the products. As a result, they will reduce the production of product lines that are not in demand. Making it easier to calculate the proper production amounts. Hence, maintaining optimum inventory levels.

That’s how predictive analytics can save you time, money, and improve your bottom line.

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The Right fit for customers… the fewer returns for retailers

E-commerce has been growing since it entered the retail landscape. And with the COVID-19 pandemic, it even rising further. Brick and mortar stores are now limiting their operations or even closing down. This shift created some challenges for both retailers and consumers. One major issue faced by consumers when shopping online is finding the right fit. That’s where the role of data and predictive analytics comes. Predictive analytics analyzes body measurements, then predicts which items will fit the consumer.

Through data mining also, brands can understand customer preferences through insights gathered. And as return creating clothes that match the Consumer’s Expectations. As a result, retailers will have fewer returns. And customers are happier and more likely to buy more items in the future.

The future of the fashion industry is data-driven

Big Data played an essential role in converting this creative industry. Brands that integrate data-driven decision making are gaining a competitive advantage.

In short, the field of data science, machine learning and AI is emerging. And it’s not showing any sign of slowing down. It is an open field of innovation, making it an exciting time for retailers to take a step into the world of data science.

 Thus, if you are hoping to leverage the power of data analytics to improve your apparel retail business, you will need to work with skilled Analysts. At steps, we specialize in data analytics and web development.

Recently, we helped a major player in the fashion industry to select the most profitable segment. And that by analyzing the transactional data using the RFM model.

So, If you would like to discuss your project, we invite you to contact us today.  

DATE: Feb 2, 2021
AUTHOR: StepsTeam

Maritime Big Data Market of 2020 & COVID-19

Artificial Intelligence, Business, Data

The Global Big Data Maritime Market Research report provides the most important information in today’s environment. In addition, the Report understands the future prospects of the Big Data Maritime market by analyzing the different elements of the market, including current trends, opportunities, constraints, and market drivers.

In the Report the section that reviews COVID-19 provides practical information on the effects of the global pandemic that is available.

The survey presented also provides information on industry and supply chain techniques, which are likely helping people in the long term.

Here below are the key points of the report on the Big Data Maritime market:

  • Detailed information on the parent market
  • Identify the main factor of influence linked to the Big Data Maritime market: drivers, constraints and opportunities.
  • In-depth analysis of the Big Data Maritime market.
  • The most effective marketing and dissemination channels received by advertising stakeholders.
  • Development possibilities of different parts of the market after the COVID-19 pandemic.
  • Models affecting the current elements of the Big Data Maritime market.
  • Innovative technological advance and advanced on the Big Data Maritime market.

To conclude, with the study of the World Report on the Big Data Maritime market, the client obtains confirmed point by point data on the company.

The report covers the various important objectives that are useful for understanding the global Big Data Maritime market, for example, the main drivers of window development, the different components that have a negative effect on the development of advertising, market models current, the revision of advertising and so on.

DATE: Jul 8, 2020
AUTHOR: StepsTeam

5G Network, Big Data, and AI keys to survive the economic crisis

Artificial Intelligence, Data

South Korea will make AI, Big data, and 5G network the centerpieces of what it claims to be a SOLUTION to create jobs and increase growth after the disappearance of the new coronavirus pandemic.

The government of South Korea has a big plan to work on a large-scale project to promote a digital economy, seeking synergy with private sector investment and improving industrial productivity and overall competitiveness.

They will actually work on 10 objectives to accelerate the transformation of a digital economy, which includes the construction of Big Data systems, 5G Network, AI to remote businesses, and improve security on the long term.

The project comes as the South Korean trade-dependent economy prepares to fall even further due to the Coronavirus pandemic.

Even though the country has so far managed to contain its own outbreak, March was its worst month for job losses since the global financial crisis, with part-time workers and young people being the hardest hit.

The fourth-largest economy in Asia lost 476,000 jobs in April, the worst monthly decline since 1999 when the country emerged from the Asian financial crisis, according to official data.

Some temporary workers have also lost their jobs, even though South Korea has maintained most of its open economy.

As part of its plan to survive the economic crises, South Korea plans to create funds to support the development of AI, build sites for testing robots, and help companies launch new services that use Big data.

They will also support the construction of a national 5G network. The main goal here is to improve South Korea’s economic growth potential and create sustainable jobs for the future generations.


DATE: May 19, 2020
AUTHOR: StepsTeam

Big Data & la guerre contre le Covid-19

Artificial Intelligence, Business, Data

La diffusion rapide et mondiale de COVID-19 a mis en avant les outils avancés d’analyse des big data, des entités de tous les secteurs de l’industrie et des soins de santé qui cherchent à surveiller l’impact de ce virus.

Big Data et COVID-19 ?

En effet, depuis que le COVID-19 a frappé les USA, les chercheurs ont travaillé d’arrache-pied pour découvrir la nature du virus, pourquoi il affecte plus que d’autres, quelles mesures peuvent aider à réduire la propagation et où la maladie ira probablement ensuite.
Entre reconnaître les signes et les symptômes, suivre le virus et surveiller la disponibilité des ressources hospitalières, les chercheurs sont confrontés à d’énormes quantités d’informations. Ces dernières sont très extensibles et volumineuses pour que les humains puissent les comprendre et les analyser par eux-mêmes.

C’est une situation qui nécessite certainement des technologies data Analytics avancées.

L’intelligence artificielle peut éliminer de nombreuses fausses pistes et va permettre d’identifier des cibles potentielles.  Cela va accélérer par suite la découverte éventuelle du vaccin contre le COVID-19.
Le principal avantage du big data est le fait de créer une opportunité pour une évaluation plus rapide et presque en temps réel de la prise de décision. Cela sauvera des vies et permettra d’identifier plus rapidement des thérapies efficaces
Les data de la pandémie de COVID-19 feront probablement partie de l’ensemble de preuves qui seront présentées aux autorités réglementaires une fois qu’une ou plusieurs thérapies identifiées semblent efficaces.
Cela créera potentiellement un précédent sur la façon dont les données vont être utilisées dans des situations similaires à l’avenir.

DATE: May 6, 2020
AUTHOR: StepsTeam

COVID-19 Une estimation alarmante pour la Tunisie !

Artificial Intelligence, Business, Data, Uncategorized, , , , , , , ,

La Tunisie et lecture en chiffre

En se basant sur les autres pays affectés, le nombre total de cas infectés en Tunisie est de 20 infectés par la COVID-19  (les cas officiels) mais il est impératif de connaître le nombre des cas réels. Il faut souligner ici que le virus se propageait sans être détecté depuis des semaines.

À première vue, en utilisant les données collectées et les ratios des données fiables nous avons créé un modèle qui estime le nombre de cas dans les semaines prochaines :

  • Vrais cas probables aujourd’hui 44
  • Vrais cas probables dans une semaine 476

 Dans ces conditions, il faut signaler que nous allons arriver à 2000 cas probables dans deux semaines et plus de 35000 cas dans un mois. Il semblerait que c’est une estimation alarmante pour la Tunisie !

Par ailleurs, le but de cet article sur COVID-19 est de regrouper les recherches existantes, de rassembler les données pertinentes et de permettre aux lecteurs de comprendre les données publiées et les premières recherches sur l’épidémie de coronavirus.

Les décès et les infections dus au coronavirus dans le monde ont dépassé ceux de l’intérieur de la Chine pour la première fois depuis le début de l’épidémie.

Maintenant la question qui se pose est peut-on faire des estimations de cas de Coronavirus sur le court et moyen terme ? Et ce en se basant sur des données antérieurs ?

Les infections dans le monde ont atteint plus de 87 000, selon le traqueur de l’université Johns Hopkins, alors que les cas en Chine se sont élevés à 80 860, selon la Commission nationale chinoise de la santé.

Mais à bien considérer les choses, le centre d’infection le plus important en dehors de la Chine est en Italie, où il y a près de 25 000 infections confirmées et plus de 1 800 décès.





Le début d’épidémie

Le 31 décembre 2019, le bureau chinois de l’Organisation mondiale de la santé (OMS) a entendu les premiers rapports d’un virus inconnu derrière un certain nombre de cas de pneumonie à Wuhan, une ville de l’est de la Chine comptant plus de 11 millions d’habitants. COVID-19 a touché ensuite environ 80 969 personnes en Chine continentale, tuant 3 162 personnes.

La province du Hubei a été la plus durement touchée par COVID-19, la plupart des infections se produisant à Wuhan même.

Mais il faut souligner que la Corée du Sud est probablement une aberration statistique. La pile croissante de données a permis aux autorités de tester rapidement la maladie et de suivre sa propagation rapide Lors d’épidémies précédentes, des retards dans la collecte et le suivi ont entrainé des temps de réponse lents.


La suite alarmante

En dehors de la Chine, l’Italie a enregistré le plus grand nombre de cas, avec 10 149 personnes infectées confirmées, principalement dans le nord du pays. Le pays tout entier est désormais verrouillé après la prolongation de la quarantaine couvrant le nord du pays le 9 mars. Puis le Royaume unis avec un nombre total de cas qui s’élevait à 1 372, contre 1 140 à la même heure samedi. Ensuite la France qui a compté dimanche soir 127 morts et 5 423 cas de contamination depuis le début de l’épidémie.




Étude de données et interprétations

Le nombre total des cas infectés détectés en Italie aujourd’hui est de 21,157 en une courbe strictement croissante et alarmante. D’où on estime si le nombre de nouveaux infectés détectés hier était de 2,500,  ils seront aujourd’hui de 3,497 nouveaux cas. On souligne ici sur le nombre des personnes  détectées contre celles infectés sinon le nombre devrait être beaucoup plus élargi.




En effet, durant les deux semaines de la détection des premiers cas, l’Italie n’a pas enregistré des victimes. Mais au cours de 14 à jours, on a commencé à enregistrer des morts pour que ça atteigne aujourd’hui les 1,441 (175 nouveaux morts aujourd’hui et 250 hier).

Ce qui fait que le taux de mortalité du Corona en Italie aujourd’hui est de 6.8 % augmentant chaque jour de 0.5 point et dépassant la moyenne mondiale qui se situe aujourd’hui à 3.8 %.




On parle de deux taux de mortalité, le taux de mortalité général (nombre de morts divisé par le nombre d’infectés) et qui est aujourd’hui de 6.8 % en Italie et puis le taux de mortalité de cas fermés (récupération ou mort) et là le taux de mortalité atteint les 43 %.

En outre, on estime une augmentation d’infectés de 12 à 16 % quotidiennement et une augmentation de morts de 10 à 15 %.

L’écart entre le nombre de nouveaux infectés et récupérés augmente en exponentiel ce qui a généré le chaos qu’on distingue aujourd’hui.

Pour conclure, l’Espagne et la France suivent le même scénario que l’Italie malheureusement ou encore pire !



En résumé, il est temps pour un wake up all  et arrêter de banaliser le COVID-19 ! Suivez les instructions gouvernementales car les chiffres sont vraiment alarmants !



DATE: Mar 16, 2020
AUTHOR: StepsTeam

The « Computer Vision » as a 2020 new technology

Artificial Intelligence, Business, Data, Mobile Development

In computer terms, “vision” involves systems capable of identifying elements, places, objects or people from visual images and all of those are gathered by a camera or a sensor.

Indeed, that’s the technology that enables your smartphone’s camera to recognize which part of the image is capturing and to feed technology such as Google Image Search.


In 2020, we will witness tools and technologies with computer vision deployed for an increasing number of uses.

This is fundamental to the way autonomous cars can “see” and manage the danger.

The production team will use “computer vision” cameras to detect defective products or equipment failures, and the security cameras will be able to alert if there’s something out of the ordinary, without requiring 24 hours surveillance, 7 days on 7.

Computer vision allows facial recognition


facial-recognition-comptuer-visionComputer vision also allows facial recognition, which we will hear a lot about in 2020.

We have already seen how technology can control access to our smartphones in the case of Apple’s Face ID and how the airport from Dubai uses it to offer the customer a more comforting trip.

However, as the use cases increase in 2020, there will also be more and more debate over limiting the use of this technology due to the potential privacy risks and the possibility of ‘state control similar to the ‘Big Brother ‘phenomena.

DATE: Dec 26, 2019
AUTHOR: StepsTeam

Discover Top Mobile Development Trends of 2019 !

Artificial Intelligence, Mobile Development, ,

We are all looking for the top mobile app development trends of 2019. Mobile apps have altered our lives in such a terrific way. As an internet, you have at least installed one mobile app on your phone and used it. Indeed, we are constantly hooked to our phones in search for new fashion trends and efficient low cost products. Thus, you should know about the new trends that are shaping the mobile development world. First, let us start by AR/VR tendency.

1/ The era of AR/VR has just Started:

You certainly have heard of Augmented Reality and Virtual Reality ! Both terms refer to computer-generated simulations. Thus, you will have the impression that you are integrated in the real world. These new technologies are mostly used in gaming. However, the big giants of the market Google and Apple started to include AR/VR in their devices. Consequently, we are targeting in this new era  potential customers through ‘Beyond The Screens’ AR/VR apps. But what about mobile-connected smart objects ?

2/ Profit from the New Age of Mobile-Connected Smart Objects:

IoT and mobile development

Have you ever heard of IoT ? The new connected devices refer to the Internet of Objects. This latter includes a network of physical objects encompassed in sensors and electronic devices. This type of software is directly related to the primary network. Many brands sensed the advantages of using such a network. Samsung, Xiaomi, Bosch adopted this new technology and embraced it in mobile development. Future seems quite bright for IoT app development, as it its market is estimated to generate $1.335 trillion US dollars in revenue by the year 2020. Don’t miss none of the positive impacts of this technology and let us develop for you the most-applauded user-friendly mobile app. Did I forget artificial intelligence and machine learning ?

3/ Rely on the Magic of AI and Machine Learning:

Artificial Intelligence is a discipline of computer science which stipulates the establishment of intelligent machines with human-like tasks. This fact includes the implementation of chatbots. We build mobile apps that combine both artificial intelligence and machine learning. Our mobile development team helps you to cut costs and increase revenues with the use of trendy and efficient apps.

We cannot talk about mobile app development without the listing the advantages of machine learning. Since human capacity is limited, it is quite essential to couple with machine learning techniques. This will save us much time and grant us more money just like the reliance on Beacons.

4/ Beacons – the Market Worth Millions!

You still don’t profit from the power of beacons ? Give your users better location and proximity experiences. Provide them with a strong context signal for their devices in the form of Bluetooth low energy (BLE) beacons with Eddy stone, the open beacon format from Google.

The mobile development industry relies heavily on these new transmitters to grant a better user experience for clients. Museums, hotels and healthcare providers include Beacons technology in their mobile apps to reach users. In fact, Beacons, combined with IoT, can help users to get insightful information about sales, in line with significant promos. Thus, you shouldn’t overlook the growing impact of beacons on the services sector. We were not blind to this innovatory technology. Thrilled to launch your next mobile app, we will be aware of the need to include Beacons technology. Visit us on : steps.tn

DATE: Apr 10, 2019
AUTHOR: StepsTeam

Data Analytics is Driving Retail Culture

Artificial Intelligence, Business, Data, , , , ,

The retail industry witnesses a digital revolution. Physical sales are constantly dropping. In fact, people are turning to mobile apps to enjoy online services. Thus, you should turn your eyes to digital expansion to increase sales. By doing this, you will profit from the paramount impact of data analytics in terms of increasing sales.

1/ Satisfy a New Type of Well-Informed Customers:

Data science holds the keys to a brighter future for the retail culture. A new type of customers is taking place in the market. Average clients are disappearing. In fact, well-informed prospects are there waiting for you to amaze them with brilliant offers. It is worth noting that the new digital customers became quite demanding. They expect to find their favorite brands on aesthetically pleasant and functional web apps. Develop for them user-friendly apps full of practical information. Make sure your clients find specific criteria like the speed of services and updated web pages. Otherwise, they will automatically turn to other online plateforms to shop online.

2/ Know the Needs of your Clients with Data Analytics:

Retailers should reconsider their digital transformation. They need to join the newly introduced mobile and online channels. Certainly, Data analytics will allow you to grasp the preferences of your customers. It gives you a 360 ° overview of consumers. It analyzes their comments and feedback. Data scientists can tell you what your clients most like and what they disdain.

As a retailer, you should consider seriously the analysis of your client’s business data. Thanks to this process, data analysts can extract the right reports about the buying decisions of your clients. In addition to this, data mining helps you to segment your clients. Every customer should be treated as a unique experience. Marketers should adress distinct groups.

3/ Predict their Buying Decisions:

Data analytics is your new ally to predict the next buying decision of your customers. As a result, the marketing department of your company will be thankful for you. In fact, steps help you to devise data mining techniques to assess the sentiments of clients. With the assistance of data-driven decisions, you will be well more equipped to conquer the market. You will be able to grasp the curiosity and logic of clients. On one hand, you will anticipate the needs of users. On the other hand, you will provoke the anger and envy of your business competitors. Organizing your steps will save you time and costs in your way to satisfy your clients.

4/ Invest in New Digital Channels:

Consumers research products online before moving to the actual step of buying them. They go through a variety of positive and negative comments. Then, they can sketch their final decision about a product. As a result, retailers should invest more in their business digital channels to provoke the curiosity of customers. All along the day, prospects are hooked on their electronic devices. Thus, business owners should be available for their followers. They need to provide them with the necessary information wherever they are.

5/ Rely on Business Intelligence Reports:

To seduce clients, retailers should not overlook the magic of data analytics to spot the precise preferences of clients. Through the establishment of business intelligence reports, you will be more able to grasp what your clients need at first; no more random miscalculated costly marketing campaigns. Having updated data insights is an essential element in your commercial strategy.

6/ Get a Full Understanding of your Clients:

Regardless of the use of crucial business insights retails still rely unfortunately on archaic methods to evaluate what works best for consumers. These random insights won’t provide a 360° degree understanding of the customer. For this reason, our data scientists elaborated an effective platform to analyze the appropriate data to generate adequate reports for your business. Data analytics can also help to show retailers their full costs at a bigger level, right down to the day-by-day expenditure, meaning they can remove unnecessary spend where it is not being utilized and put it towards better uses in areas that provide the highest return of investment.


To conclude, it is essential for retailers to have a customer-focused omnichannel business model. Customers are becoming more and more demanding.  They expect more than a retailer stating they have competitive prices. They expect retailers to deliver on these promises. To guarantee a magnificent user experience for your clients, contact us to analyze the necessary data for your next marketing strategy. Reach us on steps.tn

DATE: Nov 1, 2018
AUTHOR: StepsTeam

Use the Power of Predictive Analytics for better Water Management

Artificial Intelligence, Business, , , ,

Invest in the Power of Predictive Analytics for better Water Management. Indeed, asking water utility companies to cut leakages remains always a delicate business case. Managing hydraulic resources still provokes much debate. In a world threatened by a severe water crisis, data analytics is playing a crucial role to monitor the industry.  

1/ How Can Data Mining Help Us to Save Water ?

Since 2012, Steps, in cooperation with international business partners, has started to elaborate predictive data analysis for governments to spot water leakages and detect anomalies in the distribution process. These business solutions are a great asset to modernize water utilities all over the world. These operations contributed to the reduction of costs and time.

The evolution of data science brought about tremendous change in the way governments and private stakeholders tackle the distribution of water. For instance, digging holes and operating in extended construction sites is costly and time-consuing. So, water utility providers turned to the predictive power of data. Steps analysts invested their expertise to collect data and work on it to elaborate predictive business reports. These documents are the key to control water management from its first phase to reaching consumers.

2/ How Do We Operate through our Data Science Strategy ?

Our strategy adopted an early leak identification solution that encompasses a variety of tasks. Thanks to this method, we worked on cutting opertaing costs and meeting water leakages in real-time. Thanks to this new data intelligence solution, we are providing better services for our clients. By this innovatory technique, we are able to prevent the customers’ outbursts over frequent water shortages and misuse of natural resources. Our project, orchestrated with the consistent assistance of our business partners, is to increase analytical capability using existing data to get early event warnings and see what we have been unable to visualise before.

3/ What Are our Steps to Take Care of your Data?

The early identification solution ensues the collection of unstructured data, the cleansing and the scientific analysis of it. These digital alerts are based around customized parameters for a quick detection of problems. Therefore , the automated monitoring of flows and pressures in the clean water distribution system allow the system to check for anomalies. Such as a sudden drop in pressure. Indeed, an increase in flow at a meter, or chain of meters, may indicate a leak will bring such events to the attention of the specialized staff. 

Applying data-based prediction is a great opportunity to preserve precious natural resources as water.

We work endlessly to use science and IT solutions to sustain development and create a better world for future generations. Our engineers are harnessing the power of predictive analytics to manage uncessary water losses and provide a better quality of services. we developed algorithms to predict unusal flow of water and potential leaks. Thanks to these operations, relevent technical teams are mobilized to fix anomalies and prevent late intervenetion in the water distribution. With the assistance of this BI solution, we are working on minimising pump usage and therefore energy consumption. For more details on our project, please visit: steps.tn


DATE: Oct 31, 2018
AUTHOR: StepsTeam

The Water Industry Embraces Data for More Efficiency

Artificial Intelligence, Business, Data, Uncategorized, , , ,

The water industry adapts data for more efficiency. In fact, the world is witnessing another crisis: water scarcity. Indeed, several conflicts over water resources are marking new headlines. This situation increases the worries of scientists. Even authors such as Steven Solomon expressed their fear in bold words. They incite the stakeholders of the water industry to take serious measures to tackle this threat.

1/ What Do Reports Say ?

Following the 2016 report from the UNEP-hosted International Resource Panel, the demand on water supply will significantly grow by 40 % in 2030. Therfore, these alarming figures will even put more pressure on water utility providers. They should invest double efforts to provide the precious water. We talk about doubling our water consumption in the last century. The increasing demand on water resources is only getting issues more complicated. Thus, the water industry should change and evolve to meet the expectations of the increasing number of customers. The organizations that manage water supplies around the world are facing critical issues.  The water scarcity is chief among them.

2/ How Can Data Analytics Save Water ?

Shortage in water supply will negatively affect food chains. It can even bring about lingering economic crises. Consequently, it will hinder economic growth. To put an end to this critical problem, water utilities companies are increasingly resorting to digital platforms and data analytics. Using data mining techniques, they can detect water leakages and improve the use of water resources. According to the latest statistics issued by the World Bank, the world loses about 25-35% of water due to leaks and bursts. The annual value of this non-revenue water (water produced and lost by utilities) is equal to $14 billion. But how can data science alter this situation?

3/ How Do We Operate ?

With the assistance of our business partners, STEPS orchestrated IT solutions to use and interpret data. Using data intelligence services, we manage the extraction and distribution of water resources to customers. Our data analysts orchestrate business insights to bring about new measures to tackle water losses. We can also predict different leaks in distinct locations. Thanks to data mining services, STEPS and its worldwide partners are working to raise awareness about water consumption. We provide data solutions to guarantee a better management of water.

4/ Does Data Science Helps to Detect Leaks?

We gather information about your business. During the next phase, we allow the technical teams to intervene on the site. By this, we can prevent water frauds and leakages. The software provided relevant data like the start time of a leak and when it was fixed, based on real-time information. This situation will bring about more focused investments based on types and frequency of problems in each zone. Data analytics , with its precise predicative analysis, is really changing the face of the water industry.

5/ Want to Profit from this Innovatory Process?

Steps has already worked with more than 167 clients over the world on reducing Non Revenue Water. Thanks to precise data analytics, we worked to detect current frauds and optimize water management. We enable business stakeholders to elaborate faster and more effective responses. Learn more about our activities on steps.tn 

DATE: Oct 26, 2018
AUTHOR: StepsTeam