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Data Software promo code – March 2025

Data Software

Data software is designed to store, manage, and analyze data. It can be used to create reports and data visualizations, and can also be used to track and store large amounts of data. Common features of data software include data storage, data analysis, data visualization, and data mining. Data software are used in a variety of industries, including finance, healthcare, business, and marketing.

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115 products available

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Segment

Customer Data Platform

4.6 (19 reviews)
Cloud And Data Management

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.

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FullStory

Complete insight, one digital experience story

4.3 (23 reviews)
Application Monitoring Data Analytics

FullStory is an advanced digital experience analytics platform. It is crafted to empower businesses with deep insights into user interactions, enabling them to optimize their digital presence and foster meaningful customer experiences leading to enhanced engagement and conversions.

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Clever Cloud

You write code. Clever Cloud runs it.

4.8 (19 reviews)
Cloud Storage Cloud Computing IT Management

Clever Cloud is an IT Automation platform. It manages all the ops work while you focus on your business value. Design great software and make it safe.

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Blueink

BlueInk: Your Blueprint to Success!

4.7 (19 reviews)
Document Management

BlueInk is a comprehensive software solution designed to streamline and automate the document signing process. It provides tools for creating, sending, and tracking documents, allowing users to sign digitally on any device. It also includes robust security features, ensuring the authenticity and integrity of signatures. Suitable for businesses of all sizes, BlueInk simplifies workflows, saves time, and enhances efficiency in managing paperwork.

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Dataiku

Data science platform

4.6 (19 reviews)
Data Analytics

With Dataiku, any team (from marketing and operations to customer service) has access to the data they need all in one place for analysis or to build and deploy predictive models — say goodbye to searching for and reconciling data across spreadsheets, databases, and service providers.

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Redis enterprise

Redis Enterprise: Powering Fast Data, at Scale.

(0 reviews)
Cloud Storage Cloud And Data Management

Redis Enterprise is a robust, in-memory database platform that offers high performance, scalability, and reliability. It supports various data structures and can handle large volumes of data with low latency. It provides advanced features such as auto-failover, data persistence, and real-time analytics. Ideal for high-speed transactions, messaging, caching, and job management.

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Matomo

Data insights without compromising trust

(0 reviews)
Data Analytics

Matomo is a powerful web analytics platform that serves as an ethical alternative to Google Analytics. It offers website owners and businesses complete data ownership and control while prioritizing user privacy.

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Fivetran

Seamless data integration for modern businesses.

(0 reviews)
Cloud And Data Management

Fivetran is a leading automated data movement platform that empowers businesses to unlock innovation and drive data-driven decisions. The platform offers over 500 pre-built, no-code connectors that seamlessly integrate with a wide range of data sources, including SaaS applications, databases, ERPs, and files.

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Infomaniak

Your trusted cloud companion

(0 reviews)
Cloud Computing

Infomaniak is a leading Swiss cloud service provider offering a wide range of digital solutions, including web hosting, cloud servers, domain registration, email services, and streaming platforms.

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CloudAlly

Your ultimate ally in cloud backup!

4.8 (15 reviews)
Cloud Storage

CloudAlly is a cloud-based data backup and recovery solution that provides businesses with automated backups of their data across various applications such as Office 365, Google Workspace, Salesforce, and more. It ensures data security, facilitates quick recovery during data loss incidents, and supports compliance with data protection regulations.

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Databox

Track metrics, achieve more

(0 reviews)
Data Analytics

Databox is a powerful analytics platform that helps businesses consolidate, visualize, and understand their data to drive better decision-making across all levels of the organization.

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Praiz

A meeting management platform

4.7 (10 reviews)
Data Analytics

The Praiz solution wants to save you time. To do so, it centralizes all your business meetings in one place via a video hub dedicated to modern and ambitious teams.

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Freshmarketer

All-In-One Conversion Optimization Suite

4.5 (19 reviews)
Data Analytics Customer Experience AI Data Analysis

Freshmarketer is an all-in-one conversion rate optimization tool that leverages AI for goal-oriented, fast-paced marketing teams and digital marketing agencies.

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Linode

Cloud hosting, uncomplicated.

(0 reviews)
Cloud Computing

Linode is your comprehensive cloud hosting solution crafted to demystify the complexities of the cloud. With user-friendly interfaces, powerful infrastructure, and cost-effective plans, Linode equips you to launch, scale, and manage your online projects seamlessly.

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Appinio

Swift insights, smarter decisions

(0 reviews)
Data Analytics

Appinio is a market research platform offering fast, intuitive, and cost-effective consumer insights through AI-powered analytics and a unique panel approach.

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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 presentationAll 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 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.HadoopHadoop 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.Tableau 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.MongoDBMongoDB 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.Storm 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.
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.