Statistical Analysis Software

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Showing 1 - 20 of 56 products
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Showing 1 - 20 of 56 products

Minitab

FrontRunners 2022

Minitab is a cloud-based statistical tool designed to help small to large organizations across various verticals such as manufacturing, healthcare, energy, automotive or non-profit discover market trends, predict patterns and visu...Read more

Alteryx Designer

Alteryx is the launchpad for automation breakthroughs. Be it your personal growth, achieving transformative digital outcomes, or rapid innovation, the results are unparalleled. The unique innovation that converges analytics, ...Read more

4.75 (79 reviews)

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Domo

FrontRunners 2022

Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their busines...Read more

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Datadog

FrontRunners 2022

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Datadog's SaaS platform integrates and automates infrastructure monitoring, ...Read more

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Dundas BI

Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to cre...Read more

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Klipfolio

Klipfolio is a modern, lightweight business intelligence application used by thousands of business leaders and their teams to make better decisions with more confidence. Customers range from growing 25-person startups to fast-mov...Read more

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LevelEleven

LevelEleven is an on-premise sales force automation software that helps understand consumer behaviors and improve the performance and productivity of sales representatives accordingly. Designed for sales managers and midsize busin...Read more

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Lattice Engines

Predictive Insights Platform is a cloud-based predictive analytics platform. It allows users to run B2B marketing and sales campaigns. Predictive Insights key features include buying signals, machine learning, optimizing nurt...Read more

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Lex Machina

Lex Machina is a cloud-based solution designed to help law firms of all sizes streamline the entire litigation lifecycle, from processing raw records to organizing data using Lexpressions, a natural language processing (NLP) techn...Read more

2.00 (1 reviews)

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Looker

Looker, now part of Google Cloud, is a cloud-based business intelligence (BI) platform designed to explore and analyze data. The solution helps businesses to capture and analyze data from multiple sources and make data-driven deci...Read more

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Software pricing tips

Read our Statistical Analysis Software Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money

Logi Analytics

Logi Analytics is a business intelligence (BI) platform that provides self-service analytics tools for businesses. It can be embedded directly into the applications that employees use every day. Key features include a dashboard, d...Read more

4.17 (41 reviews)

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BIME

BIME Analytics, a Zendesk company, provides cloud-based data analysis and dashboard tools. It caters to companies of all sizes, from startups to large organizations. BIME Analytics provides multiple connectors, both online an...Read more

3.91 (11 reviews)

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Google Data Studio

FrontRunners 2022

Google Data Studio is a cloud-based reporting solution designed to help small to large businesses customize, share and visualize data through configurable charts and tables. Features include team collaboration, filtered views, cus...Read more

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Matomo

Take back control with Matomo. You own 100% of your website data so you ensure complete customer privacy. Data compliance covered. Matomo covers all of your GDPR, HIPAA, CCPA and PECR data compliance requirements. Matomo comes ...Read more

4.87 (39 reviews)

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Email Meter Enterprise

All-in-one email analytics. Email Meter helps companies analyze their email activity to improve workflows and make better decisions through data. Track and measure email volumes, response times, individual productivity, SLAs and m...Read more

4.78 (18 reviews)

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OriginPro

FrontRunners 2022

OriginPro is a cloud-based data analysis and graphing solution, which assists academic institutions, government organizations, non-profits or businesses with data exploration and provides tools for peak fitting, surface fitting, s...Read more

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Phocas Analytics

Phocas is a team of passionate professionals who are committed to helping people feel good about their data. Our software brings together organizations’ most useful data from an ERP and other business systems and presents it in a ...Read more

4.79 (99 reviews)

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Qlik Sense

FrontRunners 2022

Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle...Read more

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RapidMiner

RapidMiner is a cloud-based and on-premise data science solution, which helps small to large organizations access, load and analyze structured and unstructured data. Key features include process automation, model validation, data ...Read more

4.43 (21 reviews)

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SAS Analytics Pro

SAS Analytics Pro is a cloud-based business intelligence solution that provides businesses functionalities to access, manipulate, analyze and present information. The solution features data mining and data visualization capabiliti...Read more

4.70 (5 reviews)

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Buyers Guide

Last Updated: April 05, 2021

Businesses create and transfer large volumes of data that can be used to make smarter decisions, but manually analyzing that data can be time-consuming and error prone. Statistical analysis software automates the data analytics process, eliminating the need for manual calculations. This software can access numerous databases, such as company websites and customer relationship management (CRM) systems, providing valuable insights into how a business is performing. Data collection and statistical analysis can help companies identify trends, forecast future demand, and compare their performance against industry competitors.

Here's what we'll cover:

What is statistical analysis software?

Statistical analysis software allows organizations to collect, organize, analyze, and interpret data. This software solution includes mathematical models, simulation techniques, and specialized features designed to work with particular statistical languages. It helps businesses harness the power of their existing data to uncover new opportunities and increase revenue using statistical insights.

Common features of statistical analysis software

Statistical analysis software helps with business intelligence in many different ways. Typical software features include some or all of the following:

Data visualization Analyze raw data and present insights using visual representations such as interactive charts or graphs. This makes it easier to understand data insights and identify patterns, trends, and outliers in data sets.
Reporting and analytics View, track, and analyze data metrics to create business reports. Organize information summaries that can be printed and exported in various formats. Create visualizations to summarize complex data.
Statistical simulation Create statistical models to imitate a real-world process or system. Predict the probability of various outcomes based on uncertain variables to make data-informed decisions.
Time series Index a series of data points in time in order to extract meaningful insights. Capture sequences occurring at various points within a specified time period and make predictions based on past trends.
Multivariate analysis Observe and analyze multiple dependent variables to determine how the changes in one group of variables impact other variables in the data set.

What type of buyer are you?

There are many factors to consider when choosing statistical analysis software. Determining your requirements and what you want to do with your data will help you find a solution that addresses your needs.

Retail businesses: Retailers need to stay ahead of ever-changing buying trends and customer demand. Statistical analytics software takes the guesswork out of predicting sales outcomes. Look for features such as forecasting, regression analysis, and data visualization to extract better insights on customer behaviors and market trends.

Professional financial services: Professional service companies use statistical analysis software to amplify customer service and relationship management. Companies usually have a ton of data at their disposal, but if it isn't properly categorized and analyzed, it won't lead to actionable insights. Forecasting and other analysis tools proactively use data to inform business decisions. For example, forecasting can help organizations understand and plan for the future using insights derived from historical data. Regression analysis assists in choosing the best option for a desired outcome, such as reducing collection periods or managing cash flow.

Hospitality companies: Hospitality firms benefit from features that provide a customer-centric experience. Data visualization, reports, and analytics support relationship management by measuring engagement and conversion across different channels and campaigns. Forecasting tools enhance strategic planning by harnessing data to predict future opportunity for goods and services.

Benefits of statistical analysis software

Statistical analysis software offers numerous benefits that help companies take full advantage of their available data.

  • Manage and analyze large volumes of data: Statistical analysis programs can handle large amounts of data and a variety of data types. These software solutions can process structured, unstructured, sensory, mobile, web, and social media data with greater speed and accuracy than manual efforts. Automating data input reduces the rate of human error and saves time spent on manual and clerical processes.
  • Generate valuable business insights: Collecting and analyzing data with statistical analysis tools allows businesses to obtain actionable insights. This helps organizations explore new revenue streams, identify gaps in current workflows, and study past data patterns to predict future needs.
  • Make data-driven decisions to increase operational efficiency: Comprehensive data analysis can result in insights that accelerate decision-making and optimize workflows. Statistical analysis software solutions help companies make decisions based on accurate predictions from the data, figures, and information already present in the organization.

Key considerations when purchasing statistical analysis software

Consider your business needs before choosing a software package. There are numerous statistical analysis solutions on the market that offer capabilities from simple calculations to advanced analytics capabilities. The cost of these tools increases with additional features. Buyers should carefully identify their unique business requirements and data forms to ensure that the software meets their needs.

Market trends to understand

Artificial intelligence (AI) and machine learning will automate and advance data analysis. Augmented analytics harness AI and machine learning technologies to automate data preparation, insight discovery, and insight sharing. Statistical analysis programs with augmented analytics deliver analysis to everyone in an organization while reducing the occurrence of errors and interpretive bias inherent in manual efforts.

Self-service analytics create data-driven company cultures. Small and midsize businesses are increasingly adopting self-service analytics, a process in which business professionals run their own statistical analysis queries. Self-service analytics is an affordable substitute for data scientist teams. Businesses that use statistical analysis software benefit from better, data-based decision making.