Some examples of clients satisfied with our expertise in designing and developing their projects with Big Data solutions
Our Big Data solutions: analyzing your data to optimize your decision-making strategy
Do you have data and want to create business value from it?
NetDevices web agency explains everything. One of our geeks decided to take a look at what could be done with it, and above all, how to add value to the data.
The result: we opened up new markets and the Data4Risk project was born. Today, Big Data, Machine Learning, and Deep Learning projects hold no secrets for us. Now is the time to leverage your data!
Big data, machine learning, and deep learning: an overview
Before explaining how to manage data effectively, let's review the basic principles of data science.
Big data
Globally, 2.5 trillion bytes of data are produced every day. This includes messages, videos, documents, climate information, geolocation data, etc.
The sheer volume of data is staggering, and traditional tools (such as business intelligence platforms on SQL servers) are unable to process such large amounts of data. This is how Big Data came about. The concept is defined by the three Vs:
- Volume: this is the amount of data stored.
- Variety: this refers to the various sources of information (unstructured data, open source, etc.)
- Velocity: this is the speed at which Big Data collects, creates, and shares this data.
HBS – LFP video platform
Due to their importance, big data architectures encompass a range of concepts. These include data lakes, data warehouses, data mining, and data visualization. The aim is to process large amounts of information, whether for capture, search, sharing, storage, advanced analysis, or presentation.
Originally, Big Data architecture was mainly used by tech companies and web giants (such as Facebook, Yahoo, and Google) that had mastered various computer algorithms.
But today, all companies, regardless of their size and sector of activity, produce massive amounts of data. So we need to make use of it! That's where NetDevices comes in. Thanks to our team of data scientists and data analysts, we help you collect and use your data to successfully implement your business strategy.
Machine Learning
A corollary of Big Data, Machine Learning exploits the data collected. To do this, it usesartificial intelligence. Thanks to self-learning, it is possible to identify repetitions and causal links, and thus produce predictive analyses.
Unlike traditional tools, machine learning is capable of analyzing large volumes of data, even the most complex (diverse sources, unstructured data, etc.). By combining machine learning and big data, we help companies understand and anticipate consumer needs.
Data4Risk, a platform specializing in risk data and analysis
Deep Learning
Like machine learning, deep learning is also a data analysis tool derived from artificial intelligence. It involves using the information collected to solve a problem and come up with new solutions.
Deep learning can be translated as "profound learning." It is therefore a more advanced system for data analysis. It is based on the functioning of the human brain.
Just like humans, machines learn on their own in several stages. For example, they detect letters before identifying a word, then a sentence, and so on. Deep learning gradually makes tasks more complex thanks to the experience gained upstream.
To successfully complete these various projects, it is essential to use the appropriate Big Data solutions. Among the most widely used frameworks are Hadoop (sponsored by Apache), Spark, Flink, and Samza.
NetDevices has set up a simple simulator that will allow you to obtain
an estimate of the costs for your project.
Why use Big Data?
Thanks to its expertise in new technologies and big data, NetDevices web agency is able to help companies optimize data exploitation and thus facilitate informed decision-making.
It should be noted that data storage and statistical analysis apply to all types of environments.
Here are some possible use cases for data management tools:
Would you like to predict the different orders for your Uber-type business?
To do this, several parameters must be taken into account, including weather, times, locations, planned and unplanned events, etc. By compiling these different elements, Big Data and Machine Learning enable you to anticipate days and times of high traffic. Thanks to this predictive analysis, it is easier to organize internal teams and provide quality service to your users.
Are you looking to launch a new product?
By analyzing your consumers' behavior, it is easier to develop products that perfectly meet their needs. To do this, you have several resources at your disposal: social media, comments on your website or marketplace, customer feedback, the cloud, etc. These different sources of data can be analyzed to identify the strengths and weaknesses of your current products. The aim is to optimize existing assets in order to launch new products and gain a significant competitive advantage.
Would you like to increase the productivity of your internal teams?
Here again, a wealth of information is available to help you motivate your employees. For example, customer feedback, delays, sick leave, performance indicators, etc. In this context, better data visualization allows you to improve your employees' work.
Want to improve the customer experience?
Just like when launching a new product, this involves collecting external data on customer satisfaction (social media, website, Google Analytics, comments, satisfaction surveys, sales feedback, etc.). With a Big Data solution, you gain visibility and customer insight that enable you to meet your prospects' expectations.
Fleetizen – Management platform for taxis
Whatever your objective, all the data collected through Big Data represents highly effective analytical tools that help you make the right decisions for your business strategy. So, are you ready to harness the full potential of your data? All you have to do is contact your NetDevices digital web agency to leverage all of your databases.