8 Best Data Analytics Software 2019
Here is a list of 8 Best Data Analytics Software 2019. Lets take a look at them one by one
Number 1 on the list of Best Data Analytics Software 2019 is Domo
Domo is a data analytics solution that aims to provide a digitally connected environment for your data, people, and systems. Your business’ data is put into work for all employees in your organization through real-time data refresh and drag-and-drop data preparation capabilities. Furthermore, partners outside of your organization also get to engage with your data to increase productivity and ability to act on them.
Using a holistic view in your system, you can make more informed actions with the tool’s 7 platform components working together. You are notified with predictive alerts to bring crucial matters and issues into your attention with enough time before they make an impact to your organization.
Number 2 on the list of Best Data Analytics Software 2019 is GoodData
GoodData is an end-to-end, secure cloud data analytics architecture that caters to your entire data pipeline—starting as soon as you take in data up to the delivering the insights you generated.. It is not only available to enterprises, but to partnerships and software companies as well. The product is mostly used in industries such as insurance, retail, financial services, and ISV.
The smart business application integrates insights directly into your point of work to expedite making intelligent decisions. Improvements are also automated over time as it learns from user actions and be able to make data-driven predictions. On top of that, the tool ensures enterprise-grade security in HIPAA, GDPR, SOC II, and ISO 27001, among others.
3 IBM Cognos
Number 3 on the list of Best Data Analytics Software 2019 is IBM Cognos
IBM Cognos is the solution to consider when you’re looking to make smart decisions quickly with the use of smart self-service capabilities. This tool provides IT a solution to deploy in the cloud or on-premise according to the architecture they require. Additionally, it caters to business users who want to create and configure dashboards and reports on their own.
One of its top features is its self-service functionality that enables users to interact and access reports on mobile devices both online and offline. When it comes to analytics, the tool also offers a wide selection of analysis methods ranging from trend analysis, analytical reporting, trend analysis, and what-if analysis.
4 Apache Hadoop
Number 4 on the list of Best Data Analytics Software 2019 is Apache Hadoop
If you are looking for an open source platform, Apache Hadoop is a good place to start for distributed storage and processing of large datasets. In addition, it offers services for data access, governance, security, and operations. It is a collection of utilities that facilitates a network of multiple computers and data sets on computer clusters built from commodity hardware to solve problems.
This solution is fundamentally resilient to support large computing clusters. Failure of individual nodes in the cluster is rarely an issue and if it does, the system automatically re-replicates the data and redirects the remaining ones in the cluster. It is a highly scalable platform that stores, handles, and analyzes data at a petabyte scale.
5 SAP Business Intelligence Platform
Number 5 on the list of Best Data Analytics Software 2019 is SAP Business Intelligence Platform
SAP Business Intelligence Platform is a data analytics tool for monitoring key metrics and gaining valuable insight into customer behavior while eliminating guesswork in the process. At its core, it serves as a BI solution for delivering actionable information at your reach. It is available both in the cloud or on-premise to suit your requirements.
The platform offers various tools including SAP Analytics Cloud and SAP BusinessObjects BI Suite. They are used for solving specific business needs and leveraging decision-making. By supporting the collecting IQ of your business, this tool is reliable in providing a high standard for enterprise data analytics and BI.
Number 6 on the list of Best Data Analytics Software 2019 is Stata
Stata is a data analytics and statistics software for obtaining, exploring, and manipulating data. It enables you to visualize, model, and curate results in reproducible reports. It is developed by researchers for researchers to effectively support the needs of their fellow professional software developers. It is a complete and integrated software package for all tools needed in data management, analysis, and graphics.
The tool is known for being fast, easy, and secure. It has an intuitive command syntax and point-and-click interface that streamlines how analyses are reproduced and documented for review and publication. Regardless of when they are written, version control ensures the analyses scripts are accurate and up-to-date to show the same results.
Number 7 on the list of Best Data Analytics Software 2019 is RapidMiner
RapidMiner specializes as a data science platform built for analytic teams to prepare data, build predictive models and deploy them in a single system. It offers a rich technology for working in various stages and phases of an advanced analytic project such as featuring a scripting support for various languages.
The suite of solutions includes machine learning, application integration, data integration, and transformation. It also delivers true predictive analytics in addition to its unified approach in streamlining maintenance, learning, and standardization of your most crucial data processes. Furthermore, it supports data science at every scale through running workflows in-memory or in-Hadoop to match the ideal requirements of your project.
8 Tableau Desktop
Number 8 on the list of Best Data Analytics Software 2019 is Tableau Desktop
Tableau Desktop wraps up our list of top 20 data analytics software solutions with its robust visual drag-and-drop analysis tool. It specializes in transforming raw data into graphs and visual data representations in order to spot and reveal trends and patterns in the data. While other systems are still using chart builders, this product empowers live visual analytics to fuel a data exploration with no limits.
Uncovering hidden insights and daily opportunities are streamlined with its interactive dashboards. Whether in the cloud or on-premise, you can easily connect data. This includes spreadsheets, big data, SQL database, and cloud apps such as Salesforce and Google Analytics, among others. With this, users can split, pivot, and handle metadata to optimize various data sources.