1010data vs SigmaPlot

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Our analysts compared 1010data vs SigmaPlot based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

1010data Software Tool

Product Basics

1010data is a market intelligence and enterprise analytics solution that helps track consumer insights and market trends. In addition to vendor-critical insights, it provides brand performance metrics to buy-side entities. Seamlessly embeddable, it can also function as a standalone private-label option. Data scientists and statisticians leverage its integration with R to view and query data tables.

It enables analytics development through its QuickApps framework. By tracking consumer spending trends and brand performance, it enables businesses to better position their products in the marketplace.
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SigmaPlot is a sophisticated software designed for advanced data analysis and scientific graphing, particularly excelling in Big Data Analytics. It is tailored for researchers, scientists, and engineers who require precise and detailed data visualization and statistical analysis. The software's ability to handle large datasets efficiently makes it invaluable for these professionals, enabling them to derive meaningful insights from complex data.

One of the key benefits of SigmaPlot is its extensive range of graphing options, which includes 2D and 3D plots, contour plots, and histograms. Users appreciate its intuitive interface and the high degree of customization available for graphs and charts. Additionally, SigmaPlot offers robust statistical analysis tools, which are essential for validating research findings and making data-driven decisions.

Compared to similar products, SigmaPlot is often praised for its user-friendly design and powerful analytical capabilities. Pricing typically falls within a mid-range bracket, with options for single-user licenses and annual subscriptions, making it accessible for both individual researchers and larger institutions.

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$12,000/User, Annually
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$399/User, One-Time
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Product Assistance

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Knowledge Base
24/7 Live Support
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24/7 Live Support

Product Insights

  • Track Consumer Trends:  Discover how consumers search for and assess products before buying. Identify product affinities by segments and add value through basket analysis to expand the category assortment. Analyze customers based on geography and spending tiers to create targeted marketing strategies. 
  • Analyze Buyer Behavior:  Drive customer retention and higher loyalty by analyzing shopper lifecycles by retailer with geographical drill-down capabilities. Track the path-to-purchase customer experience and the buyer acquisition process. Monitor points of purchase — whether in-store or online, which stores were visited pre-purchase and the items considered before buying. 
  • Maximize ROI:  Assess shopping behavior at the category, brand, merchant and product levels. Analyze conversion rates and key metrics’ progression over time by new, lost and retained customers. Uncover churn rate figures by segment and spending capacity to drive remedial strategies. 
  • Track the Competition:  Track the product’s market position across hundreds of consumer goods categories. Identify disruptors from other brands on the market. Justify specific product category positioning with data on emerging competitors. Analyze merchandising strategies and promotional spend across merchants. 
  • Application Development:  Create end-to-end analytic applications directly atop proprietary granular data through its QuickApps framework and iterate when needed. Deploy them via desktop web, mobile devices or external applications with legacy governance parameters. 
  • Buy-Side Insights:  Inform buy-side investment decisions by tracking consumer spending, transactions and basket size of multiple brands. Analyze company performance by quarter, month, week and day. Get granular insights on sector trends, customer segments or geospatial consumer data, refreshed daily. 
  • Data Security:  Secure by design, it has a stateful architecture for privately allocated, separate user sessions. It is HIPAA compliant and SOC 2 Type II certified, with support for single sign-on via SAML 2.0 authentication. 
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  • Enhanced Data Visualization: SigmaPlot offers advanced graphing capabilities, allowing users to create detailed and publication-quality charts and graphs, which can help in better understanding and presenting complex data sets.
  • Improved Data Analysis: The software includes a wide range of statistical tools, enabling users to perform comprehensive data analysis, from basic descriptive statistics to complex regression models, ensuring accurate and reliable results.
  • Customizable Graphs: Users can fully customize their graphs, including axis scales, labels, and colors, to meet specific presentation needs, making it easier to communicate findings effectively.
  • Integration with Other Software: SigmaPlot seamlessly integrates with other software like Microsoft Excel and various statistical packages, facilitating smooth data import and export processes, which saves time and reduces errors.
  • Automated Reporting: The software can generate automated reports, which include graphs and statistical analyses, streamlining the reporting process and ensuring consistency and accuracy in documentation.
  • Enhanced Productivity: By automating repetitive tasks and providing intuitive tools for data manipulation and visualization, SigmaPlot helps users to work more efficiently, freeing up time for more critical analysis tasks.
  • High-Quality Output: SigmaPlot produces high-resolution graphics suitable for publication in scientific journals, ensuring that the visual representation of data meets the rigorous standards of academic and professional publications.
  • Comprehensive Support: Users have access to extensive documentation, tutorials, and customer support, which can help in quickly resolving issues and maximizing the software's potential.
  • Versatile Data Handling: The software can handle large datasets and perform complex analyses without compromising performance, making it suitable for big data analytics and research projects.
  • Enhanced Collaboration: SigmaPlot allows for easy sharing of graphs and data with colleagues, facilitating collaboration and ensuring that all team members have access to the same high-quality visualizations and analyses.
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  • Cloud-Native: Built from the ground up to enable large-scale, multi-party data sharing and analytics in the cloud. 
  • Advanced Analytics: Derive meaningful data insights by creating advanced data models against complex data sets. Perform time-series analysis, statistical functions and machine learning through its functions library. 
  • Visualizations: Create charts, graphs, heat maps and more through its rich functions library and a visual expression builder. Leverage the power of analytics through integration with visualization tools like Tableau, Logi Analytics, Information Builders and Metric Insights. 
  • Reporting: Acquire business-critical insights through standardized reporting, consistent KPI monitoring and guided ad-hoc reporting. Gain confidence in data with full visibility into proprietary information and calculation lineage. Save data results locally or to a file system via FTP, or in a data table. Or, export it in CSV, PDF or Excel format. 
  • Data Management: Pull and blend disparate, complex data sets on-the-fly into an analysis-ready format. Assign role-based permissions for access to tables, rows and columns. Tracks usage activity through audit trails and logs that include the account information, IP address and tables accessed. 
  • Integrations: Run advanced data analytics via the R console through R1010. Easily access data tables and view them in Tableau with real-time integration, data discovery and SQL support. Create spreadsheets that access the 1010 data platform via its Excel add-in. 
  • Universal Calculation Library: Quickly answer data-based queries by analyzing complex datasets through centralized and standardized calculations. 
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  • Advanced Graphing Capabilities: Create a wide range of 2D and 3D graphs, including scatter plots, bar charts, and contour plots, with high customization options.
  • Data Analysis Tools: Perform complex statistical analyses such as regression, ANOVA, and non-linear curve fitting directly within the software.
  • Interactive Graphs: Modify graph elements interactively, allowing for real-time adjustments and immediate visual feedback.
  • Extensive Graph Templates: Utilize pre-built graph templates to streamline the creation process and ensure consistency across multiple projects.
  • Publication-Quality Output: Generate high-resolution graphs suitable for publication in scientific journals, with precise control over every aspect of the graph's appearance.
  • Data Import and Export: Import data from various sources including Excel, CSV, and SQL databases, and export results in multiple formats for easy sharing and collaboration.
  • Customizable User Interface: Tailor the workspace to fit your workflow with customizable toolbars, menus, and window layouts.
  • Scripting and Automation: Use SigmaPlot's scripting language to automate repetitive tasks and create custom functions, enhancing productivity and efficiency.
  • Integration with Other Software: Seamlessly integrate with other analytical tools and software packages, such as MATLAB and R, to extend functionality.
  • Comprehensive Help and Support: Access detailed documentation, tutorials, and a responsive support team to assist with any questions or issues.
  • Data Management: Organize and manage large datasets efficiently with built-in data management tools, ensuring data integrity and ease of access.
  • Statistical Guidance: Receive guidance on selecting appropriate statistical tests and interpreting results, aiding in accurate data analysis.
  • Custom Graph Annotations: Add text, arrows, and other annotations to graphs to highlight key data points and trends, enhancing the clarity of presentations.
  • Batch Processing: Process multiple datasets simultaneously with batch processing capabilities, saving time and reducing manual effort.
  • Template Sharing: Share custom graph templates with colleagues to maintain consistency and streamline collaborative projects.
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Product Ranking

#44

among all
Big Data Analytics Tools

#47

among all
Big Data Analytics Tools

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User Sentiment Summary

Good User Sentiment 25 reviews
Excellent User Sentiment 25 reviews
78%
of users recommend this product

1010data has a 'good' User Satisfaction Rating of 78% when considering 25 user reviews from 2 recognized software review sites.

90%
of users recommend this product

SigmaPlot has a 'excellent' User Satisfaction Rating of 90% when considering 25 user reviews from 1 recognized software review sites.

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4.5 (25)
4.0 (18)
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3.7 (7)
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Awards

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SigmaPlot stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Robust Data Processing: Handles large volumes of structured and unstructured data efficiently, enabling comprehensive data analysis.
Scalable Architecture: Supports growing data volumes and user demands, ensuring seamless performance as your business expands.
Advanced Analytics Capabilities: Provides sophisticated machine learning algorithms and statistical techniques for in-depth data exploration and predictive modeling.
User-Friendly Interface: Intuitive dashboards and visualization tools simplify data analysis, making it accessible to users of all technical levels.
Data Security and Compliance: Adheres to industry standards and regulations, ensuring the protection and privacy of sensitive data.
Cost-Effective Solution: Offers flexible pricing models and cloud-based deployment options, reducing upfront investment and ongoing maintenance costs.
Excellent Customer Support: Provides dedicated technical support and documentation, ensuring smooth implementation and ongoing assistance.
Community and Resources: Fosters a vibrant user community and offers extensive resources, including tutorials, webinars, and case studies.
Integrations with Other Tools: Seamlessly connects with popular business intelligence and data visualization tools, enhancing data analysis capabilities.
Proven Track Record: Trusted by numerous businesses and organizations, delivering successful data-driven initiatives.
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Powerful Data Visualization: SigmaPlot excels at creating visually appealing and informative graphs, making it easy to communicate complex data insights to colleagues and stakeholders. For example, users have praised its ability to generate publication-quality figures for scientific reports and presentations.
Comprehensive Statistical Analysis: SigmaPlot offers a wide range of statistical tests and functions, enabling users to perform in-depth analysis on their data. This is particularly useful for researchers and analysts who need to go beyond basic descriptive statistics and delve into more complex statistical models.
User-Friendly Interface: SigmaPlot's interface is intuitive and easy to navigate, even for users who are not familiar with statistical software. This makes it accessible to a wider range of users, from students to experienced researchers.
Automation and Scripting: SigmaPlot allows users to automate repetitive tasks and create custom scripts, which can save significant time and effort when working with large datasets. This is especially beneficial for users who need to perform the same analysis on multiple datasets or who want to streamline their workflow.
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Complexity: Challenging to use for non-technical users, requiring specialized knowledge and skills.
Limited Customization: Pre-defined templates and limited flexibility, hindering the adaptation to specific business needs.
Data Quality Issues: Inconsistent data quality and lack of data validation tools, leading to unreliable insights.
Scalability Challenges: Struggles to handle large and complex datasets, resulting in performance issues and delayed analysis.
Vendor Lock-in: Proprietary technologies and limited data portability, restricting users from switching to alternative solutions.
Costly Licensing: Expensive licensing fees and hidden costs, making it unaffordable for some organizations.
Lack of Real-time Analysis: Inability to process and analyze data in real-time, hindering timely decision-making.
Insufficient Support: Limited technical support and documentation, leaving users struggling with implementation and troubleshooting.
Privacy Concerns: Concerns about data privacy and security, as tools often require access to sensitive information.
Steep Learning Curve: Extensive training and time investment required to master the tools, hindering adoption.
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Limited Data Handling: SigmaPlot struggles with large datasets, making it less than ideal for Big Data Analytics. Users have reported slow processing times and crashes when working with datasets exceeding a certain size.
Lack of Advanced Analytics: SigmaPlot lacks the advanced analytics features commonly found in other Big Data Analytics tools. For example, it doesn't offer machine learning algorithms or sophisticated statistical modeling capabilities.
Limited Data Visualization Options: While SigmaPlot offers basic visualization options, it lacks the flexibility and customization found in other tools. Users have expressed frustration with the limited chart types and difficulty in creating visually appealing and informative graphs.
Steep Learning Curve: SigmaPlot's interface can be complex and challenging to navigate, especially for users unfamiliar with statistical software. This steep learning curve can hinder productivity and make it difficult for new users to quickly become proficient.
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1010data's user reviews over the past year paint a picture of a robust big data analytics tool with strengths in data visualization, ease of use, and customer support. Users have praised its intuitive interface, which allows even non-technical users to quickly create and share insights. Additionally, the tool's advanced visualization capabilities, such as interactive dashboards and customizable charts, have been highlighted as key differentiators, enabling users to explore and present data in a visually appealing and impactful manner. However, some users have expressed concerns regarding the tool's scalability and performance when handling extremely large datasets. Additionally, the lack of certain advanced features, such as real-time analytics and predictive modeling, has been noted as a weakness compared to more comprehensive analytics platforms. Nonetheless, 1010data remains a popular choice for businesses seeking a user-friendly and visually oriented tool for their data analytics needs, particularly for those with smaller to mid-sized datasets.

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Is SigmaPlot the real deal or just a bunch of hot air? SigmaPlot is a popular choice for creating high-quality graphs and reports, especially for those working in scientific fields. Users praise its ease of use and wide range of graphing options, making it a breeze to create professional-looking visuals. The software's ability to integrate with Microsoft Office is a major plus, allowing users to easily access data from Excel spreadsheets and present results in PowerPoint presentations. However, some users have noted that SigmaPlot can be resource-intensive, requiring a powerful computer to run smoothly. This can be a drawback for users with older or less powerful machines. SigmaPlot's strengths lie in its ability to create visually appealing and customizable graphs. Users can choose from a wide variety of graph types, including 2D and 3D options, and customize every detail of their charts. This makes it ideal for creating publication-ready graphs that can be easily shared and understood. The software also offers powerful statistical analysis tools, allowing users to explore their data in depth and draw meaningful conclusions. SigmaPlot is best suited for researchers, scientists, and anyone who needs to create high-quality graphs and reports for presentations, publications, or other professional purposes. Its ease of use, wide range of features, and integration with Microsoft Office make it a valuable tool for anyone working with data. However, users with limited computing resources may want to consider other options.

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