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Software Status:Active

About XLSTAT

XLSTAT is a statistical analysis software from Lumivero that supports data analysis in various fields. It combines features such as statistical tests, data visualization, and modeling tools to aid users in making informed decisions based on statistical data. This software is utilized by professionals in sectors like finance, healthcare, and education. XLSTAT offers numerous modules tailored for specific needs, such as quality control, marketing research, and sensory analysis. Key capabilities: statistical tests data visualization regression analysis time series analysis machine learning Best for: researchers and data analysts that need comprehensive statistical analysis solutions.

XLSTAT Details

Vendor
Lumivero
Year Launched
Location
1331 17th Street Suite 404 Denver, CO 80202
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Portuguese, Russian, Japanese, Chinese, Korean
Users
Data Analyst, Market Researcher, Biostatistician, Academic Researcher, Business Intelligence Analyst
Industries Served
Aerospace and Defense, Construction and Engineering, Consumer Goods, Energy and Utilities, Financial Services, Government, Healthcare, Higher Education, Insurance and Reinsurance, Manufacturing, Pharmaceuticals, Research, Transportation & Logistics
Tags
#ExcelAnalytics, #StatisticalTools, #AIStats, #MarketResearch, #DataVisualization

XLSTAT's In-App Market Place

Does XLSTAT have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), MXN ($)

Pros & Cons

  • Simplifies complex statistical analysis for both beginners and advanced users.
  • Seamless Excel integration streamlines workflows for Excel-proficient users.
  • Reliable and accurate research tools suited for a variety of analytical fields.
  • Customizable analysis options encourage exploration of diverse statistical methods.
  • User-friendly for data visualization and report generation.
  • Occasional software crashes, particularly with large datasets or on macOS.
  • High pricing concerns, especially among students and small teams.
  • Performance issues with intensive computations in certain configurations.
  • Steep learning curve for users without prior statistics background.
  • Limited customer support responsiveness, as reported by some users.

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