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Best Data Analysis Software in 2024

What is Data Analysis Software?

Data Analysis Software is a statistical analysis tool used to inspect, clean, transform and model data for deriving information. Statistical analysis software is used for understanding and analyzing the data for producing such facts that may be further used to reach quick and important decisions. Read Buyer’s Guideimg

Best Data Analysis Software

(Showing 1 - 10 of 74 products)

Most PopularNewest FirstTop Rated Products
Easyrewardz Atlantis

Easyrewardz Atlantis

Brand: EasyRewardz Software

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Easyrewardz Atlantis is an all-in-one Data Analysis Software designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based Data Analysis Software has... Read More About Easyrewardz Atlantis img

Price On Request

Microsoft Power BI Pro (MOLP)

Microsoft Power BI Pro (MOLP)

Brand: Microsoft

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Microsoft Power BI Pro MOLP is one of the best Microsoft business intelligence tools that helps you collaborate on shared data and share insights with coll... Read More About Microsoft Power BI Pro (MOLP) img

₹6,943

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Microsoft Power BI Pro

Microsoft Power BI Pro

Brand: Microsoft

4.3img

4.3 out of 5

(1 user reviews)

Microsoft Power BI Pro helps to connect to hundreds of data sources, and visualize all the data with live dashboards and reports. Then share insights acros... Read More About Microsoft Power BI Pro img

₹829 /Month

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Microsoft Analytics Platform System

Microsoft Analytics Platform System

Brand: Microsoft

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Microsoft Analytics Platform System is a complete Data Analysis Software designed to serve Startups, SMBs, SMEs and Agencies. This Data Analysis Software f... Read More About Microsoft Analytics Platform System img

Price On Request

Microsoft Power BI Embedded

Microsoft Power BI Embedded

Brand: Microsoft

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Microsoft Power BI Embedded service in Azure (PaaS) have APIs for embedding the dashboards and reports. It quickly and easily provides customer-facing repo... Read More About Microsoft Power BI Embedded img

Price On Request

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Customer Analysis Solution

Customer Analysis Solution

Brand: Qnvert Marktech

4.5img

4.5 out of 5

(1 user reviews)

Customer Analysis Solution is a complete Data Analysis Software designed to serve Startups, SMBs, SMEs and Agencies. This Data Analysis Software for Web-Ba... Read More About Customer Analysis Solution img

₹15,000

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WebEngage

WebEngage

Brand: WebEngage

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Webengage marketing automation tool captures user profile data and merges with transactional data to create dynamically personalized campaign messages. We... Read More About WebEngage img

Price On Request

Sawmill Analytics

Sawmill Analytics

Brand: Sawmill Analytics

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Sawmill Analytics On-premise software gives users a complete range of Log Analytics solutions. Users can generate reports whenever they want. Also, they ar... Read More About Sawmill Analytics img

Price On Request

Funifier Studio

Funifier Studio

Brand: Funifier

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Funifier is a simply amazing solution for the gamification. Parallely it provides employee engagement and customer retention. It integrated with a smart ap... Read More About Funifier Studio img

Price On Request

Bot Insight

Bot Insight

Brand: Automation Anywhere

4.7img

4.7 out of 5

(1 user reviews)

The software enables its admin users to enjoy the following rights as per their designation: Admin users can view the tasks assigned and the dashboard rep... Read More About Bot Insight img

Price On Request

Last Updated on : 22 Feb, 2024

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Best Data Analysis Software FAQ’s

Software questions,
answered

Proprietary data analysis software is often quite expensive. Fortunately, there are different open-source data analysis software for students to begin with. Open-source data analytic software automates the procedure used for analyzing data through data cleaning, visualization, etc. Some of the best open-source and free data analysis tools are: Trifacta Rapid Miner BIRT DataMelt KNIME

Big data analysis software analyses large sets of data to find out about hidden patterns, correlations and other insights. Through this intelligent solution, you can quickly examine the data and find answers for the questions you were seeking. Companies and organisations use big data analysis software for increasing profits, improving business operations and engaging customers.

Log analysis tools are used for extracting data in order to find useful trends in computer-generated data. Log management solutions help systems create logs or audit trail records for document that very system’s activities.

Data analytic tools are used for analyzing, visualizing and aggregating data. Some of the best available data analysis software are: Sisense Looker Yellowfin NodeXL Skytreet

Data analysis tools in research such as SPSS data analysis software are used for the analysis of complex statistical data. SPSS data analysis software helps with the analysis of survey data by first examining the data and then mining the same for extraction it. Even the most complex type of data can be extracted and pulled by SPSS software. Once this is done, you can identify trends, create predictive models and draw conclusions.

Data Analysis Software Reviews

MP

Microsoft Power BI Pro

4.3

“Flexibility to connect multiple data sources and visualize data”

- Ajay Gupta

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Data Analysis Software Price List In India

Data Analysis Software Cost
Top Data Analysis Software Starting Price Rating
Microsoft Power BI Pro₹828.96 /Month4.3
Customer Analysis Solution₹15000.00 4.5

Buyer's Guide for Top Data Analysis Software

Found our list of Data Analysis Software helpful? We’re here to help you make the right choice and automate your business processes. Let’s discover some of the essential factors that you must consider to make a smarter decision!

  • What is Data Analysis Software?
  • Features of Data Analysis Software
  • Types of Data Analysis Software
  • Benefits of Statistical Analysis Software

What is Data Analysis Software?

Data Analysis Software is a statistical analysis tool used to inspect, clean, transform and model data for deriving information. It is used to understand and analyse the data to produce facts that may be further utilised to reach quick and important decisions.

Data analysis can be quantitative or qualitative, based on your research methodology. For instance, interviews and conversations qualify as qualitative research, and surveys are qualitative data analyses.

Researchers, academicians, scientists, engineers, and commercial industries use data analysis tools and techniques for mining data. Data analysis tools help users reach conclusions that could be further used for verifying theories, existing scientific models and hypotheses.

Features of Data Analysis Software

  • Data Visualisation: The dashboard includes graphs, charts, maps, sparklines, and data visualisation features to make data analysis easier. Both paid and free data analysis tools allow for organising visuals in the dashboard with the help of various tabs/buttons. Dashboards present information in a very presentable format so data can be easily interpreted.
  • Drill-Down and Roll-Up: A drill-down and roll-up feature is used for a more detailed analysis of the reasons for falls and rises in sales. Using the drill-down option, you can learn more about the reasons for declining sales and conduct further research to identify those causes. On the other hand, the roll-up feature is used for calculating the factors behind the profit incurred so far.
  • Service Call Reporting: Service call reporting ensures transparency in the customer services team and tracking agents, specific calls, etc. It is used for training staff, volunteers and agents. Data analysis tools are a great support for finding more information about the efficiency and performance of customer services in your department.
  • Flexible Data Sources: You could use different data schemes on your system. Using another data source could involve integration issues that may not let such analysis tools work efficiently on your computer. However, flexible data analysis software ensures compatibility with the existing programs in your computer system.
  • Easy Result Formats: Companies of all sizes use data analysis software to make decisions. These decisions are made for setting future goals and developing strategies. Thus, real-time results provided by data analysis software offer a clear and in-depth analysis of different business scenarios.
  • Raw Data Processing: Data analytic models collect data from various sources such as text files, Microsoft Access, Excel, etc. and import them into data analysis software for interpretation purposes. The software's data processing capability helps collect information from multiple formats, thus successfully saving the time required for data conversion. In addition, the collected information can easily be organised.
  • Identity Management: Data analysis software's identity management feature monitors data protection, access and identity issues. This feature is necessary for supporting a computer system, protocols, and network passwords. Identity management application has fraud analytics and other security features that ensure that only authorised users can access the system.
  • SSO Feature: The single sign-on feature saves users from the hassle of signing in multiple times during the same session. Data encryption converts readable information into unreadable ones through several codes and algorithms, providing security and safety to computing systems.
  • Scalability: As a company grows, so does its data. The more rapidly a business progresses, the more rapid the data enhancement process. Data analysis software for beginners and professionals is highly scalable, and the data can be easily scaled up for assessment purposes. Furthermore, previous data can also be integrated into the new one.
  • Quick Integration: Different individuals and organisations use different sources for storing and sharing data, and a huge range of devices and sources are available for this. Data analytics models allow data to get easily integrated with cloud apps, warehouses, and databases. Easy integration allows quick sharing of information with developers and data scientists.

Types of Data Analysis Software

  • Quantitative Data Analysis Software: Quantitative data analysis software like SPSS performs statistical analysis on data from databases and spreadsheets. SPSS has a core feature of missing value analysis to fill in missing data, followed by data preparation and management.
  • Qualitative Data Analysis Software: Data analysis software analyses qualitative data such as interviews and transcripts. It uses Boolean text coding and retrieval for quick analysis and offers code frequency analysis with visualisations like bar charts, tag clouds, and pie charts. Graphs can be exported in BMP, WMF, and PNG formats.
  • Big Data Analysis Software: Big data analysis software handles a huge amount of data with the help of various programming models. This software is programmed to handle all types of data, such as JSON, XML, images, video and plain text. It is possible to process, administer, collect, discover and distribute a large amount of data through data analysis software.
  • SAS Analytics Software: SAS analytics software is used in business intelligence, machine learning, and data science to analyse, report, and mine data and perform predictive modelling. It offers visualisation features that present information from large datasets in a neat and presentable format. The software's analytics feature generates comprehensive reports that aid in decision-making.
  • Log Analysis Tools: Log analysis tools are meant to identify potential threats and issues in a system. Through the software, it is possible to keep a tab on your devices, systems, workstations, servers, and networks. Log management tools are increasingly being used by engineers, system engineers and web developers to ensure their systems' security.
  • Statistical Analysis Software: Statistical analysis software is used for collecting, organising and interpreting statistical data. The software is primarily used to identify market trends for making investment decisions. The factual data produced by this software is crucial for organisations to take vital business decisions.

Benefits of Statistical Analysis Software

  • Comprehensive Integration Support: Online data analysis software can integrate with various data sources, including CSV files, web services, SharePoint lists, and databases. It supports streaming big data, news feeds, social media, BI platforms, and excel spreadsheets for easy data connectivity.
  • Data Cleansing: Analytical tools correct the errors from data sets by cleansing those mistakes. This procedure ensures that the data quality is up to the mark and of mutual benefit to customers, institutions, banks, financial institutions and insurance companies.
  • Machine Learning Algorithms: Machine learning algorithms are used in data analysis software to improve productivity and escalate revenues for the company. The software does this by highlighting such advertisements on shopping websites that are in accordance with end users' purchasing behaviour and history.
  • Historical Data Analysis: The software identifies fraudulent customers by using historical data analysis. The methodology is instrumental in banking processes wherein banks can decide whom to issue credit/debit cards and whom to deny the same.
  • Surveillance and Monitoring: Data analysis software helps prevent mishaps due to malware or spyware. It uses many sensors for management and monitoring and is primarily deployed by security agencies.
  • Data Analytics: Data analysis tools extract and process data from databases for various industries, such as retail, finance, and healthcare, to create reports and visuals for decision-making.
  • Extensibility: HTML 5-based operational intelligence dashboards can be easily embedded in other applications. In other words, the software can fully integrate itself with the existing data warehouse and business intelligence tools.

 

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