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Night Shift Development Solutions for the Public Sector

Data Analytics with ClearQuery: Scalable, Secure, and User-Friendly

 Night Shift Development’s augmented analytics product, ClearQuery, offers a comprehensive solution to simplify data analysis for users of all technical levels. By blending advanced machine learning (ML) models, natural language processing (NLP), and automation within an intuitive interface, the platform streamlines the process of extracting insights from data without requiring coding or specialized expertise. ClearQuery, available at Technology Readiness Level 9, is a commercial-off-the-shelf solution built by engineers with cumulative decades of experience in the U.S. intelligence community and Department of Defense.

Benefits for the Public Sector:

1. Analytics for Everyone

  • Self-Service Analytics: ClearQuery’s intuitive interface empowers all users, regardless of technical skill, to explore and analyze data independently.
  • Reduced IT Dependency: Free up IT resources by enabling users to generate their own reports and insights, reducing the backlog of data requests.

2. Innovative Technology

  • Advanced machine learning models, natural language processing, and automation wrapped in an intuitive user interface.

3. Data Security

  • Built-in access controls to restrict query and dataset access as well as core features for auditing and compliance

4. Flexible Deployment

  • Deploy in public, in your private clouds, or behind a firewall on your own networks and servers

5. Open APIs

  • Robust APIs that allow developers to query data and build their own user interfaces and top of core components

6. Accelerate Time to Insight

  • Quick Setup: Get started with ClearQuery in minutes. Our platform’s easy setup ensures you can begin analyzing your data without delays.
  •  Immediate Results: ClearQuery’s advanced algorithms deliver actionable insights quickly, allowing for agile responses to changing conditions and new information.

7. Improve Decision-Making

  • Data-Driven Strategies: Leverage ClearQuery’s powerful analytics to inform decisions, optimize operations, and improve service delivery.
  • Comprehensive Analysis: Gain a deeper understanding of your data with ClearQuery’s robust analytical tools, ensuring all aspects of your organization’s performance are considered.

8. Enhance Operational Efficiency

  • Streamlined Workflows: Simplify complex data processes, allowing teams to focus on core activities and improve productivity.
  • Holistic Data View: Integrate data from various sources to create a unified view, enabling more strategic planning and execution.

Core Capabilities:

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  • Automated Insights
    • Uses advanced algorithms and machine learning to automatically analyze data, generate actionable insights, and streamline decision-making processes.
    • By identifying patterns and trends within complex datasets, this feature saves time, enhances operational efficiency, and empowers users to make informed decisions based on data-driven recommendations.
  • Cross Dataset Search
    • Enables users to search and analyze data across multiple datasets simultaneously.
    • Allows users to seamlessly explore connections and correlations between different datasets, leading to a more comprehensive understanding of their data landscape.
    • Empowers users to extract valuable insights and make informed decisions based on a holistic view of their data.
  • Insights Canvas
    • Provides users with a collaborative space to create, share, and visualize data-driven insights.
    • Enables users to compile findings, charts, and analyses into a cohesive narrative, fostering teamwork and enhancing communication around data insights.
    • Facilitates the creation of compelling data stories, empowering teams to make informed decisions based on a shared understanding of the data.
  • Ask CQ
    • Enables users to interact with their data in a conversational manner, similar to asking questions in natural language.
    • Intuitive functionality allows users to query their data using plain language, making data exploration and analysis accessible to individuals without technical expertise in data querying.
    • Simplifies the data interaction process, empowering users to quickly retrieve specific insights, trends, or information from their datasets.
    • Enhances user experience by providing a user-friendly interface for data exploration and deepening understanding through conversational interactions with the data.
  • Relationship Discovery
    • Utilizes advanced algorithms to uncover meaningful relationships and connections within datasets.
    • Identifies correlations, patterns, and dependencies that may not be immediately apparent to users.
    • Enables users to gain deeper insights into how various data points interact with each other, leading to a better understanding of the underlying dynamics within their datasets.
  • Data Exploration
    • Allows users to delve into their datasets, uncover insights, and visualize data in a user-friendly manner.
    • Empowers users to interact with their data, perform analysis, and gain valuable insights through intuitive exploration tools.
    • Facilitates informed decision-making and enhances understanding of complex datasets.