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Data Software promo code – November 2024

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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Cloud And Data Management Cloud Computing Document Management Cloud Storage Data Analytics

110 products available

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IBM Cloud

Complete cloud platform to manage your data and processes.

4.4 (27 reviews)
Cloud Storage Cloud Computing

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.

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Dochub

DocHub: Streamlining Document Management, One Edit at a Time!

4.8 (29 reviews)
Document Management

DocHub is a digital document management platform that allows users to create, edit, and share PDF and Word documents online. Its features include electronic signatures, form filling, and document annotation. It integrates with Google Drive, Dropbox, and OneDrive for seamless document storage and retrieval. DocHub is ideal for businesses seeking a streamlined solution for managing digital paperwork.

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Oribi

Oribi: Empowering Your Data Decisions

4.0 (24 reviews)
Data Analytics

Oribi is a user-friendly, data-driven analytics tool designed to help businesses track and analyze their website's performance. It provides insights into user behavior, conversion rates, and marketing effectiveness without requiring any coding knowledge. Oribi offers features like event tracking, funnel analysis, and visitor journey mapping, making it a comprehensive solution for optimizing website engagement and conversions.

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Forest Admin

Build one internal tool for all your data

4.7 (19 reviews)
Cloud And Data Management

Easy setup, without any hassle. Save time and money with the internal tool that fits all your needs.

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Talkwalker

Talkwalker: Turning Conversations into Insights!

4.4 (20 reviews)
Data Analytics AI Data Analysis

Talkwalker is a social media analytics tool that leverages AI to provide comprehensive monitoring and analytics for online and social media content. It enables businesses to track their brand's performance, analyze trends, and engage with customers. The software also includes features for competitive benchmarking, crisis management, and influencer marketing, supporting multiple languages and sources like blogs, forums, news sites, and social networks.

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Revv

Revv Up Your Productivity!

4.1 (29 reviews)
Document Management

Revv is a powerful document automation and e-signature software that helps businesses create, share, and manage professional documents. It offers features like templates, collaboration tools, approval workflows, and electronic signatures. It's designed to streamline the document process, increase productivity, and ensure legal compliance. Suitable for all types of businesses, Revv simplifies the contract lifecycle and other document-centric processes.

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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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Internxt

Be limitless

4.2 (29 reviews)
Cloud Storage

Internxt is the future of cloud storage. With Internxt, no one will be able to access what you upload to our cloud, not even us. With Internxt you are the only owner of your data. 

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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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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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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.