1010data Reviews & Pricing

by 1010data, Inc. | Founded 2000, New York, NY

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What is 1010data?

Industry Specialties: Serves all industries

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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User Sentiment

Based on 25 reviews:

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1010data Pricing

Based on our most recent analysis, 1010data pricing starts at $12,000 (Per User, Annually).

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Starting From: $12,000
Pricing Model: Per User, Annually
Free Trial: No

Training Resources

1010data is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for 1010data:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

1010data Benefits and Insights

Why use 1010data?

Key differentiators & advantages of 1010data

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.

Industry Expertise

1010data provides data management and enterprise analytics to more than 900 clients across the world. These span across industries like retailers, manufacturing, telecom, consumer goods, financial services and many more.

1010data Reviews

Average customer reviews & user sentiment summary for 1010data:

25 reviews

78%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of 1010data reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

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.

Cons

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.

Researcher's Summary:

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.

Key Features

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.

Suite Support

Email: [email protected]

Phone: Call (866) 405-DATA (3282) or (212) 405-1010.

Training: Sign up to get certified as a data professional on the vendor’s website. Other resources on the vendor’s site include an online knowledge base, community forum, blog, articles and eBooks.

Tickets: Submit a ticket after signing in to the vendor’s support portal.