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Data Analytics Software

Data analytics software is beginning to gain momentum in project management. These analytical tools automatically process files and documents, saving a company time.

Data Analytics : related categories

Our selection of 19 data analytics software

GoodData

Performing Big Data analyses for your company and clients

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4.3
Based on +200 reviews
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Powerful data analytics software with advanced reporting and visualization capabilities.

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GoodData allows users to easily analyze and visualize large datasets, providing insights through customizable dashboards and reports. Its powerful analytics engine enables deep data exploration and predictive modeling, while its cloud-based platform ensures easy scalability and collaboration. With GoodData, businesses can make data-driven decisions with confidence.

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Contentsquare

Data Analytics Software

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4.8
Based on +200 reviews
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Gain actionable insights into user behavior with powerful data analytics software.

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Discover how users interact with your website or app with ContentSquare's advanced tracking and analysis tools. Identify areas for improvement and optimize user experience with ease.

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Data Analytics software: purchase guide

What is online data analysis software?

Definition

Data analysis software such as Bime Analytics can transform complex data into easy-to-understand information. They are used to automate the appearance of patterns or trends and thus facilitate decision-making. 

How does it work?

The software collects data that are then processed by a set of algorithms. The results are established in the form of curves or graphs such as a histogram. This solution includes various statistical analysis tools, visualization services and information modeling, allowing you to work on a single platform.

To use the software, you will first have to subscribe to a supplier. Once the subscription is complete, the user can explore his documents at any time. With a Cloud Computing backup system, it is possible to access data from any browser connected to the Internet. 

What are the main features of SaaS data analysis software? 

In general, SaaS data analysis software has a variety of features that vary depending on the model. Nevertheless, below are the most common ones: 

Data cleaning 

Before proceeding with the analysis and visualization of the raw data, it is necessary to clean them. This type of software allows the automation of this task. The data are arranged in the form of spreadsheets and graphs which will then be processed by the tool itself and/or by a data analyst.  

Data processing 

This type of software allows the processing of transactional data such as sales invoices and cash register receipts, thus facilitating accounting. It also supports the use of non-operational data such as sales and macroeconomic data. The same applies to metadata such as texts. 

Data analysis

The processed data inform the researcher about the behaviour and expectations of consumers or potential buyers. This information makes it possible to capture the specific characteristics of a market and identify its attractiveness.

Who uses data analysis software? 

Data analysis software is intended for all people looking for a tool capable of automating a cross-tab: political scientists, researchers, self entrepreneurs. It is also a technology designed for small and large companies to enable them to manage their projects. Data analysis software is essential for creating business intelligence solutions that meet the user's requirements. 

Why use online data analysis software in a company? 

Advantages

  • This software solves various problems such as fraud detection and customer-supplier relationship management.
  • It is a tool that can scan data sets in a short period of time. It also ensures the import of data regardless of the file format. 
  • It will be able to process an infinite number of measurements in a few seconds, which will facilitate market research and quickly make the project operational. 
  • This software contains several terms and conditions. It includes statistical tools. It also makes it possible to carry out a qualitative analysis. With such technology, the company has an ideal tool for its research.
  • With data analysis software, the company will be able to share documents with other networked companies.
  • The tool includes features similar to those of a Big Data, which allows the user to have the necessary information to obtain the full decision-making potential.  

Disadvantages

  • Free versions of data analysis software often offer limited functionality, identical to Excel processing.

How to choose data analysis software? 

  • Depending on its functionalities: before choosing the tool that will analyze its data, it is necessary to determine the company's needs. In the case of a large structure, it is essential to install a programmed software to take into account all the necessary information. In particular, it must be able to process statistical links. 
  • Depending on security: since company dashboards are confidential, it is important to ensure that the tool will protect data with an infallible level of security. 
  • Depending on the cost: it is not necessary to invest in expensive software if the company only needs a basic tool. There are a surprising number of low-cost software packages available for data visualization and statistical analysis. However, it is advisable to choose professional versions in order to take advantage of all the possibilities offered by this type of software.  

The best free and open-source data analysis software 

There are many online data processing software programs. Among those offered free or open-source, we find: 

  • Geckboard
  • Kpitaine
  • Protovis
  • QDAMiner
  • Talend

The most popular professional data analysis software

For self-employed, freelance and independent entrepreneurs 

  • Datawrapper
  • Databox
  • SPAD

For Startups

  • Dataiku
  • Data Predictor
  • askR.ai
  • Cyfe 

For VSEs 

  • Chartio
  • Zoho Reports
  • FlexPro
  • Vizzboard

For SMEs

  • Bittle Solutions
  • Corico
  • ClicData

Data Analytics softwares: Q&A

How does a data analytics software work?

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Data analytics software helps to analyze large amounts of data and extract insights from them. It uses statistical algorithms and machine learning techniques to identify patterns and trends in data, which can be used to make informed decisions.

What features should I look for when looking for data analytics software?

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When choosing a data analytics software, look for features such as data visualization, predictive analytics, data integration, and reporting capabilities. These features will enable you to analyze data effectively and gain insights that can help you make better decisions.

What are the benefits of data analytics for my company?

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Data analytics can benefit your company in several ways, including identifying new business opportunities, improving operational efficiency, reducing costs, and enhancing customer satisfaction. It can also help you to make data-driven decisions that are backed by insights and evidence.

What are the best data analytics software options?

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Some of the best data analytics software options include Tableau, Power BI, SAS, and IBM Watson Analytics. These tools offer a range of features and capabilities that can help you analyze data effectively and gain insights that can drive business growth.

What are the free data analytics software alternatives I could try?

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There are several free data analytics software options available, including R, Python, and KNIME. These tools offer powerful analytics capabilities, including advanced statistical analysis and machine learning algorithms. They are great options for small businesses or individuals who are just starting with data analytics.