Just about every process used within a business generates some form of data. While some may see this qualitative and quantitative information as useless, data analysis tools can turn it into a resource that helps your brand make better decisions in every aspect of its operations.

Not all analytical tools are created equally, and the following stand out from the rest. These resources were chosen based on average customer reviews along with the array of analysis types provided. With the following analytical tools, you can turn just about any data into an invaluable asset.

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Table of Contents

  1. Xplenty ETL
  2. Apache Spark
  3. SAP BusinessObjects
  4. SPSS
  5. RapidMiner
  6. Oracle
  7. KNIME

1. Xplenty ETL 

Before any data analysis tool can be utilized, an organization’s data must be integrated, processed, and prepared. This requires a resource for extracting, transforming, and loading (ETL), and Xplenty offers the most advanced integration cloud software for accomplishing this task. It’s able to accomplish this without any coding knowledge on part of the user. 

In addition to the platform’s simplicity, users also benefit from the scalability of the solution that makes it perfect for businesses of all sizes. Whether you need to merge databases through data mapping, centralize information into a data warehouse to utilize a business information tool, internally transform directories, or accomplish any other ETL need, Xplenty is the tool for the job. 

Many businesses that need to transform, normalize or clean their data also have compliance regulations that must be met. Xplenty’s platform does this as well - making it one of the most integral data analysis tools your organization could utilize.

Consumer rating4.6/5

2. Apache Spark

Touted as the “largest open-source project in data processing,” Apache Spark stands out among many of the best data analysis tools for a variety of reasons. Its speed can surpass that of Hadoop - another Apache offering - by a factor of up to 100. Additionally, massive datasets can be easily operated on thanks to intuitive APIs.

If the fact that this tool is 100 percent open-source wasn't enough, users will also revel at the higher-level libraries, common statistical and machine learning algorithms included, graph processing features, and support for streaming data and SQL queries. You can even use the same application code in streaming analytics that you utilized for batch analytics. 

Yahoo, eBay, and Netflix are just a few of the massive enterprises that use this open-source project. If these industry titans trust the resource, there’s little denying that Apache Spark is one of the best data analysis tools available.

Consumer rating4.2/5

3. SAP BusinessObjects

When a company claims to specialize in business intelligence, they certainly offer more than regular data analysis tools. For those seeking integration with other software products while conducting analysis, SAP BusinessObjects certainly live up to this claim. This resource is a suite with applications that optimize data discovery along with analysis and reporting.

In addition to complex analysis capabilities, BusinessObjects also has a simple interface that makes it appealing to those with less technical expertise. Self-service predictive analytics are also offered, and the tool integrates seamlessly with Microsoft Office products for ease of switching between applications. 

Consumer rating4.2/5

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4. SPSS

Anyone who took a psychology or sociology class in college likely encountered SPSS at some point. This tool is invaluable for analyzing data gathered through social science research, but many large enterprises also recognize its merit in the worlds of marketing, data mining, government, market research, and surveying. 

The base software includes descriptive statistics, bivariate statistics, numerical outcome prediction, identifying group prediction, geospatial analysis, and extensions for both R and Python. The interface is very user-friendly, but depending on the analysis performed, you might need a bit of knowledge in the statistical realm. Of course, that’s what your tech guys are for!

To put into perspective why SPSS is one of the best data analysis tools, one need only look at the allowable size of datasets. In the 32-bit edition, you can add 2 billion cases. The 64-bit edition has no limitation other than what your hardware can handle. Penn State University, American Century Investments, and Inland Empire Health Plan are just a few of the organizations using this resource.

Consumer rating4.5/5

5. RapidMiner

Another tool that goes far beyond basic data analysis tools is RapidMiner. The predictive model deployment, machine learning, data preparation and deep learning offered helps analysts make informed decisions utilizing preexisting data. And since similar data mining techniques have proven capable of improving academic outcomes, science already supports its use. 

Another huge benefit people typically mention with RapidMiner is the fact that users don't have to create any code. Everything is ready and set up for even beginners to begin utilizing. There are also several built-in security controls, centralized workflow management, the ability to collaborate, and a visual workflow designer.

Consumer rating4.4/5

6. Oracle

Oracle is considered by many to be the most elite data analysis tool available, and the price tag certainly reflects this reality. As with most tech resources, you get what you pay for. Oracle is cloud-based, self-driving, and completely self-sufficient. Its complexity is typically outside of the realm of those who aren’t analyst experts, but this also means more in-depth tools available. 

Oracle supports data importation, integrates with machine learning systems, has an intuitive user interface, offers numerous data visualization tools, and is constantly being upgraded and improved by its creators. The system can also manage multiple databases on a single server.

Consumer rating4.5/5

7. KNIME

The KNIME Analytics Platform promises a scalable and intuitive experience, and they manage to deliver on both of these fronts. Regardless of the size of your organization, this analysis tool is equipped to handle all your databases. In addition to the KNIME Server, tools such as WebPortal, Server Lite, and TeamSpace are all featured as Collaborative Extensions.

Due to these and many other extensions, KNIME can be customized to fit your organization’s specific needs and grow with you. The intuitive user interface adds another perk that lands this resource on the list of best data analysis tools, and the massive list of easy-to-use modules delivers limitless functionality. 

The online reviews for KNIME are almost exclusively positive, and if your big concern is customer support, current users say you won’t be let down.

Consumer rating4.5/5

Find Data Analysis Tools That Work For You

Integrate Your Data Today!

Try Xplenty free for 14 days. No credit card required.

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Organizations have different needs, but if you utilize big data, you’re going to need something a bit more complex than Excel. Fortunately, these tools have all proven their ability to provide superior analytical functions for brands large and small. Review your organization’s specific data needs, and you’ll be better prepared to choose the data analysis tool that works best for you. 

Before any successful analysis can be performed, your data must be normalized, processed, integrated, and prepared. Xplenty can handle all your ETL needs, so contact us today to get started on making the most of your data.