Top 15 Data Analytics Tools for 2020

Find the best data analytics tools on the market. Includes reviews, info on pricing, and frequently asked questions.

Updated on July 8th, 2020

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Data Analytics Tools consist of software or cloud-based solutions used in business intelligence. These tools examine data and derive insights to inform decisions and lend businesses a competitive advantage.

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Why We Chose Klipfolio:

Klipfolio is user-friendly and flexible, with dashboards widely recognized as being the best, step-by-step guides for using each feature, and the ability to merge data. A self-service tool allows team members to create visualizations quickly and easily.

Klipfolio is easy to set up and connecting multiple data sources is intuitive and simple. Klipfolio supports data from hundreds of sources and integrates with hundreds of programs and apps.

Things to Consider When Evaluating Data Analytics Tools:

  1. The quantity of data you need to analyze and present visually will determine what data tool will best suit your business.
  2. Some data is sensitive information and only tools with high security standards should be considered.
  3. Be sure you understand the fees when selecting a tool. Are there hidden costs? How does pricing change along with your business's growth?

Best Data Analytics Tools:

Rank

Name

Offer

Review

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1.

Klipfolio

$29.00 /mo.

Is user-friendly, and customer support is good.

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2.

Dataiku

Free.

Easy to set up and use, and doubles as a collaboration tool.

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3.

Knime

$8,500.00 /an.

Built for large quantities of data, supports integrations, but can be a drain on memory.

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4.

Looker

$3,000.00 /mo.

Is easy to use, and has explore function.

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5.

RapidMiner

$2,500.00 /an. per employee

Has a great auto-model feature and is intuitive.

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6.

Sisense

Quote only.

Is flexible and intuitive, with excellent presentation tools.

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7.

Thoughtspot

$12,000.00 /an. for license

Is user-friendly, and has an automatic search index, but importing data is challenging.

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8.

Domo

$83.00 per employee.

Can automatically upload data to the cloud, but cost and complexity makes it more for large companies.

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9.

Qlik

Free.

Has a highly functional dashboard, but is not always flexible.

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10.

Tableau

$70.00 /mo. per employee

Has drag-and-drop functionality, can handle CSV files, but requires some technical experience.

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11.

Talend

Quote only.

Easy to use, and integrates easily, but some experience with Java is needed.

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FAQs:

Data Analytics Tools

What are analytics tools?

Data analysis tools are a type of software used by companies to capture and analyze incoming data. This helps decision-makers to make smarter business decisions and identify new opportunities.

Data Analytics Tools

What are the tools used for big data analytics?

What is the best data analytics software?

What is the price range for data analytics tools?

Data analytics tools range from free up to $10,000.00 or more per year depending on how many employees you have and what your business needs are.

What are the different types of data analytics?

Basic types of data analysis include descriptive, exploratory, inferential, predictive, and causal analysis. Some focus on numbers while others focus on observations. Data analytics - used in business intelligence - help to develop valuable insights about businesses.

Are there any tools for data analysis and report writing combined?

What are self-service data analytics tools?

Self-service data analytics tools enable end-users or customers to complete their own data analysis reports. These tools usually have a simplified data model and are easy to use.

Are there any free options?