Posts Tagged "Data Science"

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.

 

Total-cases-total-deaths

 

 

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.

Timline-of-events-in-Hubei

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.

 

coronavirus-total-cases

 

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 %.

 

coronavirus-totalDeaths-

 

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
Comments: 4

WHY DATA-MINING IS IMPORTANT

Data, , , ,

Despite the fact that data-mining is a newcomer to the business field today, nobody can deny its importance in making businesses grow. In this article, we will provide our readers with a detailed definition of data mining. We will also talk about its uses of and its influence.

1/DEFINITION:

To make it simple, data-mining is all about gathering and digging data. Then, you need to analyze it in order to get relevant and useful information. Data miners of course use business intelligence solutions instead of the old tools and software to track and analyze the huge amount of structured and unstructured data. 

2/HOW DOES IT WORK:

The Business intelligence solutions provide relevant and continuous ETL (extract-transform-Load) data processing to help organizations and businesses warehouse data smoothly. In fact, after finishing the mining process, business owners and decision makers will be provided with useful reports of summarized data. Before data-mining came to save us, these reports needed a high level of expertise.

3/BIG DATA:

As modern businesses rely on a massive amount of data today, they should check it and analyze it whenever they need useful information. This is how the term “Big Data” was created. Indeed, business owners, leaders and organizations use data-mining systems in order to get helpful data that is manipulable and flexible, so they can make better decisions.

4/THE USES OF DATA-MINING:

We can rely on business intelligence solutions in many fields. In fact, data that comes from sales, consumer behavior, market trends, categorizations, etc, needs to be treated for many specific industries. In addition, data-mining has an extremely important role on other fields such as biomedical research and educational organizations.

5/CONTACT US:

Our experienced team and data-mining department can be the reason for your success. Click here to know more about history and achievements! What are you waiting for? Seize the opportunity and contact us now!


DATE: Aug 1, 2019
AUTHOR: StepsTeam

5 Big Data Solutions for Small Businesses

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Discover our 5  unavoidable big data solutions for small businesses. In fact, the whole word is constantly talking about big data analysis and its impact on businesses. Armed with actionable data, companies can gain a competitive edge. They can also have a comprehensive view of their clients. Thanks to data science, business owners can craft the right products and services for the right clients. In addition to this, data analysis helps you to accurately forecast the preferences of customers. Consequently, big data analysis is also offering solutions to small business. First, let’s start with SAS.

1/What’s SAS ?

You think that a small business doesn’t need data analytics. You better rethink what you have said. In fact, business intelligence is now a must for every company, regardless of its size. Thus, SAS, a leader in business analytics software, provides you with data analytics which help you to make insightful business forecasts. Having this at hand will lead you to a better decision-making. Give your business new perspectives. But what about ClearStory Data ?

Overwhelmed with raw data and unable to grasp the right insights out of it ? Clear story data specializes in uncluttering large bulks of unstructured data. This data intelligence service showcases high quality business insights out of raw data. ClearStory Data works by combining your business’s internal data with publicly available information to help you make better business decisions. The insights are used to evaluate the status quo of the company and prepares the ground for potential positive shifts. Thanks to data mining, you can establish a new road map to work and better visualize your future in the market. Now, let’s move to kissmetrics.

3/Kissmetrics:

Have you ever heard of ROI? The Return on Investment metric is so important in the research marketing department. It allows you to know that the investment you are undertaking is worth it or no. To measure the effectiveness of your work, you need to keep a track of your marketing actions. Kissmetrics is a leader in terms of data analytics. It is your essential tool to gather data and analyze it for the best of your business. But one second, are we forgetting a leading figure in data science?

4/ Google Analytics:

We can’t talk about data analytics and overlook google analytics ! Google orchestrated this tool to dive into business data and craft precise insights on market forecasts. This is an available web analytics service offered by Google. It reports the traffic of websites. By this, business owners can grasp the needs of their potential clients and reward loyal ones with a loyalty program. Google analytics dashboard is just an initiation to the marvelous impact of data science on your work. It will give you a general overview on the performance of your website. However, you need a more comprehensive vision of what’s going on in your industry. To fulfill this objective, we give you the data mining agency you are looking for.

5/ Steps:

Steps is one of the pioneering startups in Tunisia specialized in data science. Working with international clients, steps’ data scientists are equipped with the latest technologies to grasp data and destruct it for the best business insights. The projects of Steps range from analyzing water data to sketch predictive analysis for market trends.  Thank to the data submitted by clients, data analysts can make sentiment analysis regarding the behavior of specific customers. Want to learn more about this new technology to increase your sales. Contact us now!

 


DATE: Jul 9, 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 favourite 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 clients’ 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 shouldd 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 your. In fact, steps helps 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 curiosty and logic of clients. In one hand, you will anaticipate 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 it. 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 on their business digital channels to provoke the curiosity of customers. All along the day, prospects are hooked on their electronical devices. Thus, businness 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 costy marketing compaigns. Having updated data insights is an essential element in your commercial strategy.

6/ Get a Full Understanding of your Clients:

Regardless the use of crucial business insights, retails still rely unfortunately on archaic methods to evaluate what works best for consumers. These random insignts won’t provide a 360° degree understanding of the customer. For this reason, our data scientists elaborated an effective platform to analyse the appropriate data to generate the 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 utilised and put it towards better uses in areas that provide the highest return of investment.

Conclusion:

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 analyse 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

How your Organization Must Adapt to Data

Data, , ,

Data Analytics is the better tool for business intelligence. Indeed, data is arguably the most valuable asset of any company. Ranging from the first steps of planning to production, data is an omnipresent component in the company files. Moreover, In any type of industry, data has a remakable added value that no employee can ignore it. To be a leading figure in the market, managers should focus on data analytics in order to extract the right business insights. As a matter of fact, grasping data to increase sales and build customer loyalty is a primordial element for every marketing strategy.

1/ Use Data Analytics for better Business Intelligence Reports: 

Marketing specialists should no longer satisfy themselves with classical tools to sketch their communication strategies. In addition, they approach data to meet their busiess objectives. To fulfill this objective, marketers should resort to the expertise of data miners. Thanks to the new data mining tools, data scientists are able to orchestrate insightful reports about various marketing operations.

2/ Opt for Data Mining to Catch up with the Market Evolution:

New web and mobile applications, along with the ongoing shifting industry dynamics convey one persistent message: Your data is always changing and evolving. So, to be in line with the market shifts and digitization, your company should adapt to data mining techniques.

Your company should be up-to-date with the upcoming changes of the market. Analysing your data will give you scientific means to prepare your next marketing campaign. Furthermore, your marketers will be equipped with the right tools to conquer the market. You will be more grounded to encounter your clients in the best attire. You should know that being proactive with your data and infrastructure assessments can save you a lot of time, waste and resources in the future.

3/ Data Sciene Has much to Offer for your Business:

Relying on the expertise of analysts to grasp data is quintessential to catch up with the tendencies of the market. If not, you wind up with bottlenecks, which create inefficiencies, delays and even work outages. Why losing money on issues that can be prevented with the right use of data mining. Invest in a data strategy, so you will be able to increase profits and manage time in the most effective way. Not to put yourself in this critical solution, give free vent to our data analysts to analyze your data: steps.tn


DATE: Sep 13, 2018
AUTHOR: StepsTeam

Data Analytics and Artificial Intelligence are Changing the Face of Business

Data, , , , ,

Data Analytics and Artificial Intelligence are Changing the Face of Business. As a matter of fact, business innovation is a constant process. It enables firms in various industries to come up with more efficient services and products. In fact, business developers work hard in order to improve products. Data science assess the quality of services proposed. Few years ago, the gathering and analysis of this type of information was expensive. Thus, our data analysts came in the way to alter this truth. You may ask why !

1/ What Do Data Scientists Do?

Indeed, companies have instant access to massive amounts of data. Of course, data scientists are able to grasp big data in record times. Once analyzed, this process prepares the ground for precise calculated marketing operations.  The ensuing arrival of smartphones allowed businesses to improve productivity so broadly. We may wonder how data analytics and artificial intelligence are enermously changing the face of industries. First, we will start by its digitization of the workflow.

2/ The Digitization and Automation of Tasks:

Data science is allowing the digitization and automation of several tasks. Moreover, many variables are being measured in a short amount of time. Thus, these indexes can optimized easily. In addition, computer process automation and artificial intelligence are finding niche applications across many industries. Artificial intelligence is no longer a trendy topic to concoct scripts for science fiction movies. This technique is altering the work of companies. To conquer the market, you shouldn’t ignore the growing impact of AI. In addition to the digitization of tasks, data analytics can also assist you to save time.

3/ Better Management of Time and Costs:

Thanks to these new technologies and processes, automation increases a firm’s capacity to produce in faster intervals of time. Data mining lowers the average costs of production every year after they’re implemented. Similarly, data science, coupled with the magics of artificial intelligence and machine learning, are effective methods to grow your profits. To explain, data science can detect human error and spot data anomalies in real time. These functionalities can ensure a better flow of productivity within companies.

4/ The Personalization of Services:

This new opportunity provided by data analytics allows a deeper understanding of customers. Relying on this new technology, companies can develop personalized products that adjust to the tastes and preferences of the clients. The implementation of data analytics algorithms can lead you to precise public sentiment analyses. Also, this type of research proves to be efficient to grasp the preferences of clients and predict the next market trends. The results will be used in creating brand loyalty and corporate image marketing campaigns.

5/ Competitive Edge in the Market:

Following this array of advantages offered by data analyctis and artificial intelligence, companies should turn their eyes to these processes invading the market. Countless business solutions and web and mobile applications are being created. Companies in various industries have begun to realize the benefits of integrating big data and its analysis into their business processes.

Not to miss any of these revolutionizing techniques and better understand their impact on growing your profits, get in touch with our experienced data analysts on: steps.tn


DATE: Sep 10, 2018
AUTHOR: StepsTeam

The 4 Emerging Trends of Data Mining

Data, , , ,

Data mining assists business companies to gather information from a number of sources. So, we shall take a look at some important emerging trends of data mining. Indeed, this will ensue the cleansing of raw data. Other algorithms and techniques come into play to extract the right business insights. These reports contribute to the increasing of sales and customers loyalty. Thanks to data mining, marketers can predict market trends and anticipate well-grounded marketing campaigns. In addition, every client should be treated as a unique piece of art who has different buying choices. Just like your products,  every consumer has stories to tell. In fact, they are looking for original experiences, while searching for your services online.

Data science processes assists marketers and entrepreneurs to engage in a variety of business tools. This fact will help entrepreneurs to catch up with the novelties of the market. All along this article, we will be enumerating the fields in which data mining is bringing much value.

1/A New Protagonist in Multimedia:

We see a significant growing of social networks. Visual data is getting more and more ungraspable. Think about marvellous videos on Youtube. In addition, users watch roughly 500 million hours of video on this famous online platform. Also, this content is shared in enormous rate in very short intervals of time. Following the latest statistics, 92% of mobile video viewers share their own personal productions with others. Consequently, data mining emerges as an adequate process to delve into this content. It is quite helpful to to assess the behaviours of customers and prepare the next marketing step to appeal to the maximum of users.

2/ Mobile Data Mining:

When we study the IT archives for the last decade, we are faced with this statement: we should pay more attention to mobile marketing. We need to stop solely focusing on promoting business websites. Mobile data mining is the new policy to implement in companies not to miss any business opportunity.

3/Location-Based Data Mining:

A lot of data stored in different locations. Here, we are faced with a quite complex business case to solve. For security issues, companies may choose to store information at different locations. Thanks to location-based data mining, analysts can track the necessary data in the right spot. Regardless of the location, data miners resort to the adequate techniques to mine information. For marketers who are looking for data insights, data mining is their ally to extract data from sources based on location. Now, let’s have a hint on artificial intelligence.

Artificial intelligence is the new trendy term that is marking 2018. AI produces remarkable amounts of data. Data mining, thus, will be used to dive into this goldmine. We shall establish resourceful information to orient new business trends. We can use AI to gather and process data. In fact, 47% of digitally mature companies have defined their artificial intelligence strategy. Others, more enthusiastic about this new trend, feel that AI is the biggest marketing trend.

4/ Time to Invest in Data Science:

Data analytics positions itself as the new game changer of business. Insights issued of data mining are regularly used by business analysts and marketers. Thus, 2018 is not going to be any different. Trust the professionalism of our data analysts. Reach us via steps.


DATE: Sep 7, 2018
AUTHOR: StepsTeam

Data Mining Can Save the Environment

Data, , , ,

Data Mining can save the environment. In fact, data mining have provided several breakthroughs in fields such as health informatics and environmental systems. In addition, massive amounts of data about environmental changes are difficult to grasp and constantly changing. Consequently, data mining is the new magical technique used by analysts to mine massive amounts of information about environmental variables.

1/ What is Data Mining ?

The analysis of environmental data requires advanced and sophisticated modeling techniques to extract the proper relevant knowledge contained. Thus, STEPS aims to become a meeting point of scientists and researchers interested in approaching scientific changes and to promoting the interaction between the environmental sciences community and the data mining community and related fields. This scientific exchange will be pave the way to a better management of natural ressources. We marry the art of data science to the saving of Mother Earth.

2/ Is Data Science the Best Alernative to Save the Environment ?

To make a long story shortour experts data analysts helps you to extract precious amounts of information out of the existing data. Saving time and costs, data mining is a highly-acclaimed technique to precipitate the rescue of the environment in regard to persisting phenomena such as draught and pollution. So ,trust our data analysts and start your journey towards a better environment. Contact us  and visit our website steps.tn


DATE: Sep 6, 2018
AUTHOR: StepsTeam

The Benefits of Data Mining

Data, , , ,

Data mining have several benefits. As a matter of factData mining is analyzing data in order to elaborate business insights. This process used in different companies to grasp massive amounts of data to detect common patterns. This technology is emerging as the new rocking strategy in terms of data management. Throughout numerous workshops, business leaders are investing in this technique to boost their work and guarantee new opportunities. Regardless of the industry, data mining helps organizations to extract precious information. This fact enhances the writing of valuable business plans, in line with future trends.

1/ In What Fields Do We Need Data Mining ?

In finance and banking, data mining can be used to establish risk models for loans and mortgages. Thanks to the analysis of the data of your customers, you can be able to assess their loyalty and detect potential fraudulent behavior. In addition to the financial sector, marketing specialists can also resort to this IT technique.

2/ Data Science Is an Excellent Tool for Traders:

This process will assist you to reconsider customer satisfaction and orchestrate targeted advertising campaigns. Throughout data-driven documents, you are more susceptible to have a wider glimpse on the activities and preferences of your clients. Delving on their purchasing history, you will also help predict what may be their next move in the market. These actions can be provided by an accurate use of data mining. Adjusting the new methods provided by artificial intelligence is also important to come up with ideas for valuable new product lines.

When organizations mine their data properly, they can gain greater visibility into customer attitude. Top data mining solutions enable organizations to learn from every customer interaction, gain behavior and prepare their next marketing step more quickly.

Want to start your first adventure with data mining techniques, we take you via notre site web steps.tn


DATE: Sep 4, 2018
AUTHOR: StepsTeam