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    Data Power for Smart Decision
    Nextqore Platform builds data from all your sources, adds reason to analyse data for actionable insights. It helps Data driven Operations to achieve efficiency and productivity and accelerates your Operational AI journey.

    Nextqore Platform includes

    • AnySource Combiner
    • Data Reason Builder
    Platform Features

    Observability

    Component Library

    Notification

    Visualization 

    Scalability

    Flexible Deployment Options

    Security

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    Observability

    The Platform includes Data observability capabilities provide the tools and insights needed to monitor, analyze, and ensure the integrity of Data throughout the Combiner stage. With Nextqore, businesses can maintain confidence in Data while minimizing the risks associated with disruptions and quality issues with timely actions to get the sources corrected.

    Proactive Disruption Identification-

    Easily identify disruptions in data before they impact business operations. With real-time monitoring and alerting, businesses can pinpoint anomalies and potential bottlenecks in the data flow. By understanding the possible causes of these disruptions, proactive measures can be taken to address issues before they escalate, ensuring that business operations remain smooth and uninterrupted. This level of visibility empowers the team to respond swiftly, minimizing downtime and safeguarding business performance.

    Comprehensive Data Quality Tracking-

    Maintaining high data quality is essential for effective data driven decision-making. Nextqore allows to keep track of data quality throughout the entire data pipeline, enabling businesses to identify when parameters have breached set operational or quality thresholds. The Platform observability tools monitor key metrics and indicators, providing insights into data accuracy, consistency, and completeness. By flagging any deviations from established standards, businesses can quickly investigate and rectify issues, ensuring that data remains reliable and actionable.

    Experience enhanced confidence in the data management processes, knowing that businesses can monitor, detect, and address issues as they arise. Transform data observability into a strategic advantage and empower the organization to make informed decisions with clarity and precision.

    Component Library

    The Component Library ensures seamless integration with a wide range of sensors. It requires minimal intervention to connect, regardless of OEM differences. This accelerates deployment and enhances flexibility for diverse use cases, like asset tracking and predictive maintenance. It also includes the business logic (rules and structured data) that governs how data is handled, processed, and acted upon within the system.

    IT Connectors

    Flipkart




    HereMaps




    Walmart




    Amazon




    Google

    Flexport




    Clover POS




    Meta




    MYX




    Mobile As A Sensor

    LIDAR Scans




    Drone Videos

    High-Resolution Videos

    Mechanical Sensors ( External )

    Vibration




    Force




    Pressure




    Strain




    Torque




    Tilt




    Mechanical Sensors ( Embedded )

    Internal Temperature




    Load Sensors




    Accelerometer




    RPM Sensors




    Gyroscope




    Proximity Sensors

    Environmental Sensors

    Temperature




    Humidity

    Air Quality
    ( PM 2.5, PM 10 )

    Solar Irradiance

    Barometric Pressure

    Wind Speed & Direction




    Noise

    Rainfall

    Business Logic

    Top Selling Products




    Listing new products

    Pricing updates

    Orders

    Notification

    The configurable notification system is designed to keep users informed by sending alerts based on defined events and conditions. This capability ensures that critical changes are promptly identified, enabling proactive decision-making and swift action.

    Define Events for Notifications:-

    Events can be easily defined to trigger notifications.  Conditions can be tailored to meet specific operational requirements. Examples of events that can be configured include:

    1. Disruption in Data Transfer – Receive immediate alerts if there is a disruption in data transfer from a source, enabling resolution of connectivity issues before they impact operations.
    2. Quality Threshold Breach – Get notified when any parameter exceeds predefined quality thresholds, ensuring that corrective actions are taken to maintain data integrity and reliability.
    3. Any Parameter (Derived/Aggregated) Exceeds Set Threshold –  Monitor parameters and set notifications to alert businesses when they exceed specified thresholds. This feature helps maintain awareness of critical metrics that can impact operations.

    Define Notification Audience – 
In addition to defining events, the notification system enables specification of the audience for each alert.  Team members or stakeholders can be assigned based on their roles or areas of responsibility. This targeted approach ensures that relevant individuals receive information on significant events, facilitating faster responses and more effective communication across teams.
    Notifications are delivered via text, email, or in-app (Android & iOS).

    Visualization 

    Visualizations show the real-time status of monitored devices or processes, along with long-term trends of measured KPIs. 
They also show the output of analytics in the form of charts and reports. Options exist for the users to build their dashboard from the processed data using an easy-to-use BI tool. 
The visualization of data and insights can be viewed on any device, laptop, mobile, or handheld using the Nextqore App. The Nextqore app is available for download on Android and iOS platforms.

    Scalability

    Built on a hyper scalable platform, the platform accommodates a wide range of deployment needs, offering flexibility to adapt to evolving requirements.

    Cost-Effective Usage

    Scalability is enhanced by a pay-as-you-go model.  This approach ensures payment aligns with resource utilization, allowing for significant cost savings and budget efficiency. This model supports rapid scaling to address peak demands and equally fast scaling down during quieter periods, ensuring infrastructure and services align perfectly with operational needs.

    Rapid Infrastructure Adjustments

    The platform supports swift adjustments to scale services, enabling responses to market changes, seasonal fluctuations, or project demands with ease. This agility enhances operational efficiency and improves competitive advantage.

    Flexible Deployment Options

    From a single-instance deployment for a small team to a complex multi-region, multi-country setup for a global enterprise, the platform supports both scenarios seamlessly. 
This versatility enables operational scalability without the limitations of traditional infrastructure, enabling effective customer service in any location. (Nextqore Cloud, Dedicated Cloud, Customer-Specific Cloud instance)

    Security

    Security is embedded to safeguard data from source to destination.

    Secured Data Pipeline


    A secured data pipeline employs robust connectivity options for secure data transfer. By utilizing protocols such as SSH tunnel, HTTPS, and SFTP, a secure data movement environment is established. 
These protocols encrypt data as it travels across networks, protecting it from unauthorized access and ensuring information remains confidential and intact.

    Security for Data at Rest

    Data security extends to storage, with all data in the data lake encrypted by default. This encryption guarantees that data remains secure, even when it is not actively being used.

    Controlled Data Access


    Controlled data access is maintained through user permissions, ensuring only authorized individuals access specific datasets. These permissions apply at various levels, whether for the entire account or for designated resources and destinations. This granular approach helps mitigate the risk of data breaches and ensures sensitive information remains restricted to those who need it.

    AnySource Combiner

    Connect, Collect and Integrate data from any Source, structured or unstructured on the Nextqore Platform.

    Integrate Data from varied sources seamlessly

    Noun Cloud Storage
    Noun Chip
    Capa
    Videos

    IT Applications

    Captures operational and transactional data from IT applications such as CRM ERP Inventory Management, Order entry etc.. for seamless integration.

    Cloud Storage

    Aggregates and processes data stored across cloud platforms for scalable analysis.

    Field Devices

    Combines data form embedded, external, and add-on sensors to provide real-time operational insights.

    Documents

    Analyze unstructured data from diverse document types for enhanced context and relevance.

    Videos

    Processes LiDAR scans and drone footage to extract actionable visual and spatial data.

    Elevate Your Business with Smart Data Using Any Source Data Combiner

    Seamless data collection, extraction techniques and engineering the data are vital for harnessing the full potential of the business total available data. The robust multi-protocol data ingestion layer is designed to effortlessly connect with a wide variety of data sources, ensuring that businesses can collect, analyze, and leverage their data without limitations.

    Enhance collected Data by referencing with relevant Business information for meaningful analysis.
    This flexibility empowers businesses to

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    Streamline Operations

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    Enhance Data Quality

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    Take Data Driven Decisions

    Data Reason Builder
    Nextqore Data Reason Builder enriches Data using various Contextualization techniques.
    In addition, it enhances Data with powerful Correlation and Computational rules to make the Data set highly useful and managed for business use.
    Making Data Work for Smart Outcomes

    Correlation

    Contextualization

    Computation

    Efficient Data Structuring for Enhanced Insights

    Refining and structuring datasets within the pipeline ensures that businesses have access to the right information for analysis and decision-making. 
This streamlined process minimizes the time required for data preparation, allowing teams to focus on extracting meaningful insights. 
By efficiently correlating and organizing data, businesses can improve reporting accuracy and optimize their decision-making processes.

    Discovering Data Relationships:

    Time

    Value

    Filter

    Add Context to Operating conditions

    Understanding the conditions under which data is generated is crucial for insightful analysis. 
This allows businesses to go beyond simple performance reporting and explain the “why” behind the values. 
Whether influenced by environmental factors or internal/external conditions, our solution provides the context needed to derive meaningful analysis and strategic insights.

    Influencing factors such as:

    Weather Context

    Traffic Context

    External Context

    Perform Logical and Mathematical Outcomes on the Data to Enhance Use of data

    01.  Produce derivative parameters by conditionally filtering and/or mathematically combining sourced data
    02. Aggregate data as per the Business/Operational needs with automatic scheduling

    Optimizing Data for Business Intelligence

    Derived Outcomes

    Time Series Aggregation

    Enhancing Data Processing with Customer Extension in AnySource Combiner and Data Reason Builder

    The Customer Extension feature in the Data Combiner and Reason Builder enables businesses to seamlessly integrate custom code, supporting all major programming languages, to tailor and manipulate their data to meet unique needs and workflows.

    In Data Combiner, the Customer Extension can be used to write custom logic to handle validation and verification failed cases.

    In Reason Builder, the ability to manipulate and refine datasets directly in the pipeline ensures that businesses have the right information at their fingertips for analysis and decision-making. This streamlined process reduces the time and effort required to prepare data for reporting, allowing their teams to focus on generating insights

    Trusted by data driven companies
    Air Quality and Noise Monitoring at Construction Sites
    Make better decisions