Scalability
and performance
Scalability
and performance
Cost
effectiveness
Versioned
datasets
The IPS® Intelligent Data Lake (IPS®IDL) is a tool designed to collect, store, and deliver certain data for further use in analytics and reporting. It ensures data quality and consistency, allowing for immediate decision-making. IPS®IDL is a centralized repository that stores structured and unstructured data at any scale. It features configurable data models and built-in integration functionalities for large data integrations like NMM, SCADA, GIS, historians, and more.
IPS® Intelligent Data Lake offers a robust and versatile infrastructure that can benefit integration and analytical applications. IPS®IDL enables the development of accurate and reliable ML models by providing scalable storage for different data types, enabling data integration, and ensuring high data quality through effective preprocessing and governance. Additionally, strong security measures and cost-efficient storage solutions make IPS®IDL a necessary asset for organizations aiming to integrate complex systems into one centralized portfolio used for strategic decisions.
IPS®IDL efficiently manages and processes large amounts of data, which is essential for training complex ML models. Intelligent layering and integration also achieve optimal resource allocation, minimizing the need for computational and storage resources.
Affordable storage solutions enhance cost efficiency, allowing organizations to maintain the extensive datasets required for machine learning economically. Additionally, built-in automation and effective data management practices significantly reduce overall operational expenditures, further improving financial viability.
Security and compliance are achieved through robust measures that safeguard sensitive information and ensure adherence to regulatory standards. Moreover, comprehensive security protocols significantly reduce the risk of data breaches and unauthorized access, providing an extra layer of protection for valuable data.
Analytics are supported by results collected within maintenance procews, which utilizes integrated, high-quality data to enhance decision-making processes. Furthermore, effective data integration and preprocessing techniques play a crucial role in mitigating overfitting, resulting in more accurate and reliable models.
Comprehensive data integration merges multiple data sources into an unified repository, offering a holistic view that improves the accuracy and reliability of machine learning models. This diverse integration of data sources results in richer inputs, which contribute to developing more robust and generalizable models.
Schedule a 60-minute free demo to reduce administrative tasks, including cleaning, securing, and governing data. Learn how IPS®IDL will boost productivity and operational efficiency, address large-scale data workloads, and lower costs.
Schedule a free demo to learn how IPS®IDL can help you analyze the past, gain new insights, and predict and plan the future. Our IPS® Experts are available to answer all your questions.
IPS® Intelligent Data Lake can store structured and unstructured data. It supports large data integrations from various sources, including NMM (Network Model Management), ERP (Enterprise Resource Planning systems), EAM (Enterprise Asset management Systems), SCADA (Supervisory Control and Data Acquisition), GIS (Geographic Information Systems), historians…
The IPS®IDL was developed for organizations across various industries, including retail, finance, and utilities. These organizations use data lakes to store data, gather insights, and improve the overall quality of their services. It is especially important to users who need to ensure data quality and consistency, and companies require a centralized repository for storing structured, semi-structured, and unstructured data at any scale.
IPS® Intelligent Data Lake incorporates different security measures to protect data, including Identity and Access Management (IAM) using OAuth 2.0 and OpenID Connect protocols for secure authentication and authorization. Role-Based Access Controls ensure that data and functions are accessible only to authorized users based on their roles. Data communication is encrypted using security certificates, providing protection similar to credit card transactions during transmission. Additionally, enterprise-level security features such as user management, Windows Authentication, Active Directory support, and adherence to cybersecurity best practices further enhance system security.
Yes, IPS® Intelligent Data Lake can integrate with other systems. IPS®IDL provides a modern web API for seamless data import and export, facilitating smooth data exchange. It can integrate with various systems, including SCADA, GIS, and ERP solutions like SAP and IBM Maximo, supported by secure authentication, WebAPIs, and an internal integration and orchestration tool. Additionally, IPS®SmartGridDI acts as a flexible integration layer, handling data transfer from sources without Web API support. It also integrates with CIM-compliant systems such as SCADAs, PSS®CAPE, and PSS®E, allowing bi-directional data exchange. Throughout, IPS®IDL ensures data quality and consistency for more informed decision-making.
IPS®IDL works with other IPS Solutions by ensuring data quality and consistency as a centralized repository for collecting, storing, and delivering actionable data for informed decision-making. It integrates seamlessly with the IPS® Asset Performance Management (IPS®APM), facilitating large-scale data integrations from sources such as NMM, SCADA, GIS and historians for comprehensive analysis. Additionally, IPS®IDL supports the IPS® Asset Investment Planning (IPS®AIP) module, enabling users to identify investment candidates and create various scenarios based on budget allocations. Furthermore, through IPS SmartGridDI, IPS®IDL acts as a flexible integration layer, allowing data import, export, monitoring, and transfer from diverse sources, particularly when external systems lack Web API support.