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Data Software promo code – March 2023

Data Software

Data is everywhere in society and growing exponentially. To make sense of it and exploit it profitably, you need to develop a specific approach to Big Data. For this reason, it is important to have software adapted to the collection, concentration, and processing of data from various sources. As true decision-making tools, they guarantee that your business processes will be optimized and that you will be able to steer your business in a much more relevant way.

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Data Management Data Analytics
15 products available
logo notion


Organize teamwork and increase productivity

Knowledge base, project management, note taking and more. Notion helps your teams to centralize their work, collaborate easily, ensure the appropriate follow-up on projects and enhance overall productivity and efficiency.


$1,000 in credits for Plus plan (up to $1,000)
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logo airtable


Easily store and organize your data

The power of a relational database, without the need to code or use Excel.


2 deals available - $1,000 credits for startups (lifetime validity) (up to $1,000)
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logo aws activate

AWS Activate

Amazon's cloud services platform

Efficiently develop, deploy and maintain high-performance and scalable applications.


$5,000 in AWS credits for 2 years (up to $5,000)
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logo mixpanel


Product analytics platform

Mixpanel helps you continuously improve your products through analytics. You understand what your users like, how they interact with your products and services, and ultimately how to offer them what they really need.

$50,000 in Mixpanel Credits (up to $50,000)
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logo monday


Easily manage all your projects and become more productive and efficient.

With you can completely manage your projects from one platform: from planning to delivering. Create the right workflow that suits you and get your team to collaborate so you keep track of everyone's progress.


14 days free (up to $150)
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logo hotjar


Easily improve user experience on your website

Hotjar will allow you to understand the user behavior on your site as well as its strengths and weaknesses.

90 days free on the Business plan (up to $150)
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logo segment


Customer Data Platform

Segment allows you to collect data from your web and mobile applications and provides key information about your customers and users for your marketing and product teams.

$50,000 credits over 12 months (up to $50,000)
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logo ibm cloud

IBM Cloud

Complete cloud platform to manage your data and processes.

With more than 170 products and services, IBM Cloud makes it easy to manage all your business operations from the cloud: database management, AI, blockchain, security, analytics, everything is available and easily integrated.

$1,000/month in IBM Cloud credits for 12 months (up to $12,000)
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logo coda


All your documents and data in one place.

Coda makes it possible to centralize all your documents, data and files of any type and to collaborate effectively with your team. Coda is straightforward and easy to use and drastically enhance your productivity as a team.

$1,000 credits (lifetime validity) (up to $1,000)
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logo mongodb


Boost your productivity with a database optimized for your applications

mongoDB is the tool that will store all your NoSQL databases so you can spend less time managing your information and more time using it.

$500 in credits for MongoDB Atlas (up to $500)
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logo amplitude


Online analytics platform

Amplitude analyzes the behavior of your online users, identifies trends and patterns and provides you with all the reports and data you need to make the right business decisions.

12 months free on Growth plan (up to $1,000)
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logo salesforce essentials

Salesforce Essentials

CRM software for SMEs

With Salesforce Essentials, get all the basic functionality you need to manage your leads, customers, and transactions. No more, no less. It's a simple, comprehensive CRM tool designed for small businesses that don't have time to delve into...

50% off Annual Subscription (up to $1,500)
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logo algolia


The leading Search-as-a-Service platform

Algolia is a search engine for professionals. It allows you to create, deploy, and optimize search experiences in sectors as diverse as e-commerce, mobile search, voice search, or SaaS solutions. You’ll improve engagement and conversion rates as...

$10,000 in credits valid for 1 year (up to $10,000)
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logo usecsv


A solution to add data import to your app

In a few steps, UseCSV allows you to add data import to your application. This way you can offer your customers a better experience in a quick and easy way.

6 months free on the Scale plan (up to $2,994)
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logo datapills


Web analytics and user journey platform

Datapills allows you to better understand the behavior of your users. Through numerous and relevant features, the platform helps you develop your business, increase your turnover and refine the user experience of your website.

6 months free on the Startup plan (up to $144)
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About Data

Why is data important in a company?

The integration of Big Data into your business is an opportunity that should not be overlooked. It goes further than Business Intelligence solutions. BI, while very relevant when you want to analyze a specific point in your strategy, supports information from your own data sources. Big Data, on the other hand, is capable of handling unstructured data from a wide variety of sources.

Harnessing Big Data is an opportunity, as you will be able to both identify business opportunities to differentiate yourself from the competition and improve decision making.

In addition, a better understanding of the market and consumers is a key to increasing business profits in an increasingly complex society. By offering personalized products and services and targeting your audience more accurately, you can build customer loyalty and drastically reduce acquisition costs.

If you want to implement a Big Data strategy, however, there are a number of steps you need to take:

- Data collection

- Data storage

- Data analysis

- Data presentation

All of these processes involve analyzing raw data from different sources and then making sense of it. Only in this way can you perform predictive analysis or optimize data visualization.

What is Big Data?

Big Data refers to massive data sets that cannot be processed in a meaningful way by conventional IT tools.

Although there is no consensus on the definition, the following are the essential criteria that define Big Data:

- Volume: Processing large volumes of data is the purpose of Big Data. This data stream can come from clicks on a search engine or from elements of many connected objects.

- Speed: The large amount of data in Big Data is processed in the shortest possible time and usually in real time.

- Variety: This disparate and unstructured data is of various types. This makes it difficult to integrate it into a traditional database.

- Veracity: This aspect concerns the quality of data collected. The data must be reliable to be truly relevant.

If the data you want to use in your strategy meets these criteria, then you can consider that it meets the conditions of a Big Data issue.

How do startups use Big Data?

The huge amount of data that can be collected is an inexhaustible source of opportunity for startups. Indeed, consumer information allows for the deployment of effective digital campaigns or the implementation of innovative techniques.

To begin with, digital data has the capacity to be used to improve customer knowledge. Big Data is thus essential to understand customer behavior, anticipate your customers’ needs, and identify market trends.

In addition, data mining and analysis opens the door to highly innovative services and the possibility of unlocking a major competitive advantage. Uber, for example, uses customer data management to continuously adjust the price offered to the demand observed, in real time. Netflix, for its part, uses Big Data analysis to offer tailor-made programmes based on the tastes and preferences of all its customers.

Big Data solutions are therefore ideal for fostering the growth of startups. This data allows you to both innovate and develop sales and marketing strategies that are more tailored to your target audience.

What are the most popular tools for managing Big Data?

In order for your employees and Big Data experts to take advantage of the data collected, you need to use specialized software. For this reason, we recommend the most popular SaaS tools.


Hadoop offered by Apache is able to process large volumes of data by processing the data on a server. Its cloud-based architecture ensures optimal operation via hundreds of servers running in parallel. This framework is known for its ability to sort and analyze massive amounts of data with ease.


This data analysis platform offers all companies the possibility to take advantage of the information gathered. It allows for easy and qualitative exploration of data via dashboards that are as pleasant as they are comprehensive. In addition, you can be advised by Tableau’s experts at any time. This software solution is therefore very relevant for a company that wants to develop a data-driven strategy.


MongoDB is an SQL database. It has remarkable qualities for work on Big Data: high performance, very high availability, and remarkable scalability. Easy to install, configure, and use, MongoDB can be used with many languages such as Python, Ruby, or even JavaScript. It is ideal for working with very large amounts of data.


Developed by Apache, Storm is a real-time data processing system. Like Hadoop, it is very robust thanks to its distributed architecture. So you don’t have to worry about any failure. Adapted to all programming languages, this tool is ideal for quickly developing in-depth analysis of massive data.