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9. TIBCO Spotfire data analysis platform
From SLM (Service Lifecycle Management) to SCM (Supply Chain Management) and ERP (Enterprise Resource Planning) to CRM (Customer Relationship Management), the volume of data generated by these cloud applications is huge and growing at an incredible rate .
To help businesses extract actionable insights from generated data, leading technology companies and startups around the world are creating business analytics tools and technologies that provide seamless analytics solutions.
Powerful, modern business analytics tools that make data collection, analysis, and data application more efficient can help businesses increase productivity and provide key insights for enhancing business profitability.
So, what are the most commonly used data analysis tools in big factories? Today, let's take a look.
Here are the top 10 business analytics tools that will be discussed in detail:
1. SAS Business Analytics (SAS BA)
2. QlikView
3. Board
4. Splunk
5. Sisense
6. Microstrategy
7. KNIME
8. Dundas BI
9. TIBCO Spotfire
10. Tableau Big Data Analytics
1 、 SAS BA
Based on the advanced text analytics capabilities of SAS Business Analytics, it examines unorganized text data and converts it into relevant information from which analysts can discover meaningful insights.
SAS BA provides a range of statistical tools that simplify the process of analyzing large amounts of data in real time. This top business analytics platform can also help you gain information from big data and predict future trends.
2、QlikView
QlikView is the flagship product of QlikTech and has become the fastest growing BI product in the world in the past seven years. It is a complete business analytics software that enables developers and analysts to build and deploy powerful analytical applications.
Simple to develop and use: self-service data analysis and flexible and intuitive presentation of all information. Do reporting, monitoring, and dashboard analysis in one integrated product.
Fast implementation: metered by day/week
Affordable: cost savings
Free Trial: See Your Solution Before Investing
Unique AQL architecture: means fast distribution without compromising performance.
No data warehouse or OLAP is required Easy to carry: no specific infrastructure is required, it can be shared anywhere
Solve complex business problems simply: Analyze data flexibly
No need to define architectural layers in advance: system updates are complete and simple
Included with convenient and seamless integration technology: As your business grows, you can handle large volumes of data records.
3、Board
Board features an industry-leading business analysis model that allows users to create interactive and intuitive business analysis reports and dashboards.
The highly scalable business analytics platform integrates best-in-class business analytics tools, including a robust statistical suite.
The Board business analysis tool can manage large amounts of data and support accurate scene analysis and prediction by manipulating the given scene data.
4、Splunk
Splunk is one of the favorite business analytics tools for small and medium businesses.
Splunk is a scalable and reliable data platform for investigating, monitoring, analyzing and processing your data. Originally launched for processing machine log file data, Splunk has added a range of advanced features over the years, including user-friendly web interface and various visualization options.
5 Sisense
Sisense is one of the business analysis software tools, it is a business intelligence data analysis platform that simplifies complex data, covering the entire data usage process - from data collection to storage, with high-speed computing, visual data exploration, dashboards and embedded advanced Analysis function. Businesses can gain valuable insights from complex data—without the need for specialized IT support, the installation of a plethora of disparate tools, or a team of experts.
The main function
- Links that can be used to manage complex data models
- Dozens of exquisite and beautiful data visualization forms
- Internet Dashboard accessible from any device
- Simple and efficient user interface as the best way to guide users through data analysis
- Statistical calculation functions for advanced users
The Sisense business analysis platform adopts the patented technology of Sisense Crowd Accelerated BI, and uses open source language for calculation and statistics. It allows users to perform extensive analysis and visualization of complex data, facilitating data-driven decision-making and refining predictions of future trends.
6、Microstrategy
Microstrategy is consistently ranked in the top five leading BI tools and services vendors in the GartnerMagicQuadrant review. It integrates excellent analytics capabilities to easily handle unstructured text data, which can be further analyzed by experts through the platform's text analytics solutions.
Microstrategy integrates deep analytics and statistical capabilities for real-time trend forecasting and for third-party data mining.
Microstrategy is considered a best-in-class business analysis tool, through which users can create and share business analysis reports from anywhere and on any device.
7 KNIME
In 2004, a team of expert software engineers from the University of Konstanz (Baden-Württemberg) in Germany developed the innovative KNIME business analysis platform.
The most striking feature of the KNIME data analysis platform is its powerful data and tool integration capabilities:
Easy to integrate with third-party big data frameworks It can be easily integrated with big data frameworks such as Apache Hadoop and Spark through the Big Data Extension, which is very easy to use.
Compatible with a variety of data forms and not only supports plain text, databases, documents, images, networks, and even Hadoop-based data formats Compatible with a variety of data analysis tools and languages It not only integrates many tools, including support for R language and Python language The script, so that the expert experience can be reused. The powerful visualization function provides an easy-to-use graphical interface, which can display the analysis results to the user through vivid graphics. The most important thing is that it provides more than 1500 modules and is still growing
8 、 Dundas BI
Dundas BI is a data analysis software designed for enterprise users, with powerful data analysis and visual reports and dashboards, charts, support for a high degree of customization, it also simplifies cleaning, inspection, transformation and modeling of large data sets It helps users to easily build an excellent intelligent data analysis platform.
Advantages of Dundas BI:
- flexible
- Multiple data sources and charts
- Built-in functions for extracting, displaying and modifying data
Disadvantages of Dundas BI:
- No option for predictive analytics
- 3D charts are not supported
9. TIBCO Spotfire data analysis platform
TIBCO Spotfire is a recognized tool for business analysis. It is easy to operate and quick to get started. It is like a "small tool". It can be said to be a popular BI tool that everyone can use. Sufficient professional skills can make more in-depth applications. In a word, for data analysis, tools have a wide range of adaptability and a wide range of difficulty. After an hour of study, you can develop professional analysis reports, but after half a year of study, you will also learn 30% of them. This is Spotfire, which is both a popular BI tool and a platform-based enterprise. Advanced high-end BI analysis tools.
TIBCO Spotfire allows you to easily access, analyze and create dynamic reports on your data. By letting you quickly identify trends and patterns in critical business data, TIBCO Spotfire provides instant value whether you are a market researcher, sales representative, scientist or process engineer.
With Spotfire, users can interactively sift through data and get instant answers. With Spotfire, we can also create rich charts in the form of bar charts, crosstabs, and scatter charts, which are also very easy to share.
10. Tableau Big Data Analysis
Tableau is one of the most widely used data visualization tools, providing interactive visualization solutions to more than 57,000 companies worldwide.
It can be used to integrate and integrate advanced databases (including Teradata, SAP, My SQL, Amazon AWS, and Hadoop), and Tableau can efficiently visualize the big data required for artificial intelligence and machine learning, and create easy-to-understand charts or graphs.
Advantages of Tableau:
- Excellent visualization capabilities
- easy to use
- best-in-class performance
- Supports multiple data sources
- mobile responsive
Disadvantages of Tableau:
- The price is a bit high
- Auto refresh is not supported
As the saying goes, if a worker wants to do a good job, he must first sharpen his tools. A qualified data analyst without centralized data analysis tools at hand is impossible. If your career development direction is data scientist or data analyst, St. Pullen recommends that you be proficient in 1-2 of the above 10 tools first, and after mastering these two, expand two or three more according to your actual business situation , so that after you have a few axes in your hands, no matter what industry or company you go to, you can quickly get started and realize your own value.
The St. Pronounce data science course can provide you with systematic data analysis learning, such as R language data science, Hadoop/Spark big data, Python language data science, Tableau Desktop courses, etc., to help you grow into a professional data analyst /the scientist.