What is Data Analysis SoftwareData 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.Data analysis can be quantitative or qualitative, based on your research methodology. For instance, interviews and conversations qualify as qualitative research and surveys count as qualitative data analysis.Data analysis tools and techniques are used by researchers, academicians, scientists, engineers and commercial industries for mining data. Data analysis tools help users reach such conclusions that could be further used for verifying theories, existing scientific models and hypotheses.Features of Data Analysis SoftwareData VisualizationGraphs, charts, maps, sparklines, and such data visualization features within the dashboard help in researching about key performance indicators and data metrics. Both paid and free data analysis tools provide an option for organizing visuals in the dashboard with the help of various tabsbuttons. Dashboards present information in a very presentable format so that the same data can be easily understood.Drill Down and Roll-UpDrill down and roll up feature is used for a more in-depth analysis of the causes for fall and rise in sales or any other issue. For example, more information over a declining sales record can be accessed through the drill-down option wherein more research could be pursued to find out about the causes of such decline. Roll up feature, on the other hand, is used for calculating the factors behind the profit incurred so far. Web-based interfaces and interactive graphics are the tools used for drill-down and roll-up processes.Service Call ReportingService call reporting is meant for ensuring transparency in the customer services team as well as tracking agents, specific calls, etc. It can also be used for training staff, volunteers and agents. Data analysis tools are great support for finding out more information relating to the efficiency and performance of customer services in your department.Flexible Data SourcesYou could be using different data schemes on your system. Using another data source could involve integration issues that may not let such analysis tools to work efficiently in your computer. However, flexible data analysis software ensures compatibility with the existing programs in your computer system.Easy Result FormatsThe information from data analysis software is used for decision making by companies big and small. These decisions need to be made for setting future goals and developing strategies. Thus, real-time results provided by big data analysis software in an easy format offer a clear and in-depth analysis of different business scenarios.Raw Data ProcessingData 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 softwares data processing capability helps collect information from multiple formats, thus successfully saving time required for data conversion. The information so collected can easily be organized as well.Identity ManagementData analysis softwares identity management feature monitors issues pertaining to data protection, access and identity. 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 authorized users can access the system.SSO FeatureThe 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 and provides added security and safety to the computing systems.ScalabilityAs a company grows, so does its data. The more rapidly a business progresses, the more rapid is the data enhancement process. Data analysis software for beginners as well as professionals is highly scalable in nature and the data can be easily scaled up for assessment purposes. Furthermore, previous data can also be integrated into the new one.Quick IntegrationDifferent individuals and organizations use different sources for storing and sharing data and there is a huge range of devices and sources 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 SoftwareQuantitative Data Analysis SoftwareQuantitative data analysis software uses a statistical package for performing quantitative analysis of data. One of the most popular software is data analysis software SPSS (statistical package for Social Sciences), which is used for writing data from databases and spreadsheets. Missing value analysis is the core feature of the software as it helps its users in filling missing blanks for estimating the data. Once the data estimate is ready, you can use the software for data preparation and management.Qualitative Data Analysis SoftwareData analysis software for research uses qualitative solutions for analyzing information. nbspIt is used for analyzing textual data such as interviews, transcripts, open-ended responses, and text images. Qualitative data analysis software uses fast Boolean text for text segments coding and retrieval. You can also perform code frequency analysis through a bar chart, tag clouds, and pie chart. Exporting graphs into BMP, WMF and PNG formats is easy through this software.Big Data Analysis SoftwareBig data analysis software handles a huge amount of data with the help of various programming models. This software is programmed for handling all types of data such as JSON, XML, images, video and plain text. Through the data analysis software, it is possible to process, administer, collect, discover and distribute a large amount of data.SAS Analytics SoftwareSAS analytics software uses visualization features for analyzingreportingmining of data and predictive modeling. The software is used in Business Intelligence Applications, Machine Learning, and Data Science. SAS solutions present information in large datasets in a neat and presentable format. The analytics feature produces comprehensive reports that help in taking important decisions.Log Analysis ToolsLog analysis tools are meant for identifying 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 being increasingly used by engineers, system engineers and web developers for ensuring the security of their systems.Statistical Analysis SoftwareStatistical analysis software is used for collecting, organizing and interpreting statistical data. The software is primarily used identifying market trends for making the right investment decisions. The factual data produced by this software is crucial for organisations to take important business decisions.Benefits of Statistical Analysis SoftwareComprehensive Integration SupportData analysis software online provides comprehensive integration support for CSV files, SOAPRESTful Web Services, SharePoint lists and Java Database Connectivity. It is possible to connect with any data source for easily streaming big data, data warehouses, news feeds, social media, BI platforms and excel spreadsheets.Data CleansingAnalytical tools correct the errors from data sets by cleansing those mistakes. This procedure ensures that the quality of data is up to the mark and of mutual benefit for customers, institutions, banks, financial institutions and insurance companies.Machine Learning AlgorithmsMachine learning algorithms are used in data analysis software for improving productivity and escalating revenues for the company. The software does this by highlighting such advertisements on shopping websites that are in accordance with the purchasing behavior and history of end users.Historic Data AnalysisThe software identifies fraudulent customers by using historical data analysis. The methodology is especially useful in banking processes wherein banks can decide whom to issue creditdebits cards and whom to deny the same.Surveillance and MonitoringData analysis software helps in preventing mishaps that could happen due to malware or spyware. It uses a good number of sensors for surveillance and monitoring and is primarily deployed by security agencies.Data AnalyticsData analysis tools perform functions such as data profiling, data cleansing and data deduping for extracting data, heavy or light, form database of a system. The same information so extracted is then used for developing textual files, graphs, etc. Retailers, banks, healthcare, aerospace, social media organizations, finance, and insurance companies use data analytics for drawing information from the database.nbspExtensibilityHTML 5 based operational intelligence dashboards can be easily embedded in other applications.In other words, the software is fully capable of integrating itself with the existing data warehouse and business intelligence tools.