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Improve business insights with data.world

Forward-thinking companies don’t just use their data for analysis; they use it as a strategic advantage. With data.world, you get unparalleled insights from your data. It’s all waiting there for you to discover – you just need the right tools.

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Raise the bar on data quality

Production-quality data needs to be ready for the spotlight. With data.world, identify any discrepancies and outdated information, and root it out at the source. Because high-quality decisions require high-quality data.

Map your data’s DNA

How does your data flow through your systems, and where does it end up? Data.world’s data lineage capabilities can tell you the full story. Map upstream and downstream dependencies, so when it’s time for impact analysis, you know just what to do.

Make big decisions with data

We can’t give you clairvoyant powers, but we can give you predictive analytics to understand business challenges and predict future trends. Data.world transforms raw data into actionable knowledge, so you can make data-driven decisions. It’s basically like seeing into the future of your data. 

data.world's big data discovery transforms how enterprises explore and act on data.

Self-service

Pull the right data

Data in silos isn’t useful. With data.world, pull the right data, from the right place, at the right time, so your teams get the big picture.

Dynamic discovery

Keep data up-to-date

Give teams a high degree of reliability across your data infrastructure: data warehouses, data lakes, or other data sources. Your data changes asynchronously over time as new information becomes available.

Automation

Put your data to work

Your teams never need to encounter stale or incorrect data again. With data.world, automatically identify the most recent data sets, and deprecate the ones you don’t need anymore.

“data.world allows users to search for data even without having direct access to it.”
Miguel Morgado Product Owner, OneWeb

Frequently Asked Questions

What is big data discovery?

Big data discovery is the process of identifying, analyzing, and visualizing large volumes of diverse data to uncover patterns, trends, and insights that can drive business decisions. It involves exploring data from multiple sources, understanding its context, and deriving actionable information through advanced analytics and visualization techniques.

What are the features of big data discovery solutions?

  • Data integration: Connects and consolidates data from various sources, including structured, semi-structured, and unstructured data.

  • Data profiling and quality assessment: Analyzes data to assess its quality, completeness, and consistency.

  • Advanced analytics: Utilizes machine learning, statistical analysis, and other advanced techniques to uncover hidden patterns and insights.

  • Data visualization: Provides interactive and intuitive visualizations to help users understand and explore data.

  • Search and query capabilities: Allows users to perform complex searches and queries to quickly find relevant data.

  • Metadata management: Manages metadata to provide context and enhance data discoverability.

  • Collaboration tools: Facilitates collaboration among team members through shared insights and annotations.

Scalability: Handles large volumes of data efficiently, accommodating growth and increased data complexity.

What are the benefits of using big data discovery?

  • Improved decision-making: Provides deeper insights that lead to more informed and accurate business decisions

  • Enhanced search and discovery: Offers a comprehensive view of data across the organization, breaking down silos

  • Increased efficiency: Automates data exploration and analysis, reducing the time and effort required to find valuable insights

  • Better data quality: Identifies and addresses data quality issues, ensuring more reliable and accurate insights

  • Competitive advantage: Uncovers trends and opportunities that can drive innovation and strategic advantages

  • Personalized insights: Tailors insights to specific business needs and user requirements

How does big data discovery work?

Big data discovery works through the following steps:

  1. Data collection: Aggregates data from multiple sources, including databases, data lakes, cloud storage, and real-time streams

  2. Data preparation: Cleans and integrates data to make it ready for analysis

  3. Data profiling: Analyzes the structure, content, and quality of the data to understand its characteristics

  4. Data exploration: Uses advanced analytics and machine learning to explore the data and identify patterns

  5. Data visualization: Presents the findings through interactive dashboards, charts, and graphs to help users interpret and act on the insights

  6. Collaboration: Enables team members to share insights and make data-driven decisions collectively

How does big data discovery help teams gain business insights?

Big data discovery helps teams gain business insights by:

  • Identifying trends and patterns: Reveals underlying trends and patterns that may not be immediately apparent

  • Segmenting data: Allows for the segmentation of data to analyze specific groups or categories

  • Uncovering anomalies: Detects outliers and anomalies that could indicate potential issues or opportunities

  • Enabling predictive analytics: Uses historical data to build predictive models

  • Facilitating real-time analysis: Provides real-time data analysis capabilities, enabling teams to make timely decisions based on the most current information

How does data.world’s big data discovery solution improve efficiencies for data insights?

data.world’s big data discovery solution improves efficiencies for data insights by:

  • Centralized data access: Provides a single platform where users can access and explore all relevant data in good time

  • Automated data preparation: Streamlines data cleaning and transformation processes

  • Collaboration: Facilitates collaboration through shared workspaces, annotations, and version control

  • Advanced analytics: Offers built-in analytics tools that enable users to perform complex analyses without needing specialized skills

  • Intuitive visualizations: Delivers powerful visualization tools that help users quickly interpret data 

  • Data quality: Continuously monitors and improves data quality

Tell better stories through data, with data.world’s big data discovery.

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