Alternatives to SAP Asset Information Workbench

Interfacing’s Integrated Management System (IMS ) is an AI-supported platform that brings BPM, QMS, Document Control, and GRC together in one environment. Teams use IMS to design and manage processes, govern documentation, oversee risks, and demonstrate compliance with complete visibility and reliable audit evidence. Built for sectors that depend on strict oversight, such as aerospace, life sciences, public sector, and financial services, IMS offers real-time monitoring, automated workflows, and AI-driven analytics that strengthen quality and lower operational exposure. The system is ISO 27001 certified and validated for 21 CFR Part 11, ensuring secure and compliant use in regulated operations. IMS also provides low-code automation, process mining, audit tools, training management, CAPA workflows, and dashboards that help organizations improve performance and maintain regulatory control. AI enhances governance, improves precision, and supports continuous compliance.

Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.

Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM. The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.

OpenDQ is a zero-cost enterprise data quality, master and governance solution. OpenDQ is modularly built and can scale to meet your enterprise data management requirements. OpenDQ provides trusted data using a machine learning- and artificial intelligence-based framework. Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management 360 View of Customer Data Governance Business Glossary Meta Data Management

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Modern supply chains must be able to immediately respond to changing market demand patterns and disruptions. The Atlas Planning Platform has been a key tool for leading companies over the past 20 years. The Atlas Planning Platform supports digital twin capabilities for your physical supply chain. It continuously optimizes it with advanced machine learning algorithms and the most recent AI technology. Machine learning and automation are essential to support digital supply chains. Atlas' AI and policy capabilities allow you to autonomously execute tasks. Our automated machine learning combs through mountains and data to identify the most important. Atlas Planning Platform seamlessly integrates both structured and unstructured planning data sources, including ERP, IoT and market. Our unified data model instantly ripples changes across all planning time periods and levels of granularity in your multi-enterprise supply chains.

Master Data Management and Data Governance. Plug and Play adapters for Oracle Hyperion, Onestream, Anaplan, and More. The Leader in Performance Management Master data On-Premise or in the Cloud. Designed to include Business Users in MDM/Data Governance. With built-in application Intelligence, managing hierarchies in EPMware and data governance becomes a seamless process. This creates dimensional consistency across all subscribing apps. Our one-click integration allows hierarchies to be visualized and modeled in a request. This allows for real-time data governance, which ensures that metadata updates are audited and error-proof. EPMware's workflow capabilities allow metadata to be reviewed, approved, and then deployed to both on-premise and in the cloud. There are no files to load or extract, and no manual intervention. Just a seamless, audited metadata integration right out of the box. Integration and Validation Focus EPMware provides native and pre-built integration support to the most popular EPM and CPM technologies.

The landscape of data security regulations is in a state of continuous change, making it crucial to adopt an adaptable and responsive approach within your Information System to address the intricate demands posed by laws and regulations. It is important to classify and categorize regulatory data effectively while maintaining a thorough inventory of your data and overseeing its retention timelines. Promptly addressing inquiries from your data subjects is vital, and managing retention durations alongside business needs for all key processes should be streamlined through a unified application. Additionally, it is critical to govern the rules concerning retention schedules and ensure the regulatory compliance of your Information System regarding these periods. Assessing and classifying the level of data vulnerability is also necessary, and you should model your service-oriented components to accurately account for your Information System assets. By implementing these strategies, organizations can enhance their data security posture while remaining compliant with evolving regulations.

To grasp the concept of master data management (MDM) thoroughly, we must start by defining master data while distinguishing it from master data management itself. Master data refers to the essential business information that underpins and categorizes the transactional and analytical data within an organization. This type of data is sometimes called “enterprise data” or “metadata” and typically encompasses application-specific metadata, various business perspectives, corporate dimensions, reference data, and master data assets. Instances of such enterprise data can include the chart of accounts, organizational or cost-center structures, market segments, product categories, and additional elements. On the other hand, master data management (MDM) performs the role indicated by its name—specifically managing master data. MDM integrates a suite of applications and technologies designed to consolidate, cleanse, and enhance master data while ensuring its synchronization with various applications, business processes, and analytical tools. Overall, MDM plays a crucial role in maintaining the integrity and consistency of data across an enterprise, ultimately driving more informed decision-making.

The ever-growing volume of data, coupled with ongoing digital transformation and heightened compliance demands, necessitates the implementation of advanced technologies for optimizing data utilization. Exorbyte provides customized Search & Match solutions that enable rapid access to all forms of data for both human users and automated systems, irrespective of their structure, language, format, or quality. Their master data search feature allows for extensive, fuzzy searches across millions of records with a single query input, demonstrating error tolerance and flexibility across various fields while being fully customizable. Additionally, the master data comparison tool facilitates the examination of entire or partial records against master data without limitations, accommodating discrepancies and operating seamlessly across different databases. Furthermore, the master data recognition function extracts identities from various documents, such as letters or faxes, and aligns them with reference data, ensuring accurate identification through fuzzy data matching and intelligent extraction techniques. This comprehensive suite of tools empowers organizations to harness their data more effectively, driving informed decision-making and operational efficiency.

The IBM® Unified Governance and Integration Platform stands out as a powerful and adaptable solution that boasts top-tier data governance and integration features, allowing organizations to effectively identify, manage, and analyze data for valuable insights. This platform offers significant flexibility, enabling users to purchase entitlements for various capabilities in flex points that do not expire and can be utilized across any product within the portfolio as business requirements shift. It encompasses a comprehensive range of IBM solutions, including data governance, data integration, data movement, master data management, and information lifecycle governance, all tailored to serve the needs of enterprises navigating the modern landscape of abundant data, whether structured or unstructured, on-premise or in private and public clouds. In today's digital economy, where entry barriers are continually diminishing, leveraging data-driven insights has become essential, often representing the sole avenue for achieving a competitive edge. As organizations adapt to these changes, the Unified Governance and Integration Platform empowers them to harness their data more effectively, ultimately driving innovation and growth.

Harnessing digital transformation enhances the value of your resources and allows for the integration of predictive maintenance (PdM) techniques. By anticipating potential issues, you can avert expensive breakdowns, minimize downtime, and direct your efforts towards future innovations. Our extensive Asset Performance Management (APM) software suite is specifically crafted to address contemporary industrial obstacles by utilizing industrial big data, cloud computing, artificial intelligence, digital twin technology, and augmented reality. With enhanced analytical capabilities, you can eradicate inefficiencies, streamline operations, and boost your bottom line. This cohesive multi-dimensional information framework aggregates data from various origins, providing meaningful context for reporting and dashboard applications. Elevate your plant's performance in near real-time by facilitating detailed analytics in your business intelligence tools centered around industrial data. By connecting your workforce, processes, and technology, you can swiftly implement a risk-based asset management strategy aligned with your organizational goals, ensuring a resilient and adaptable operational framework for the future.

The Information Governance Suite is a collection of products that help organizations better discover, categorize and enhance their information assets, regardless of which system they are managed. The suite includes: -.discover which connects with information systems to index and categorize structured and unstructured information assets –.policy which allows organizations create full lifecycle policies to preserve and dispose of information - preservation and disposal near the end of an asset's lifecycle -.preserve which allows organizations to retain and dispose digital assets near the end - process which automates content-related actions such as content categorization to help record teams deal with increasing workload.

WeStatiX SHM integrates authentic simulation-driven Digital Twins with cutting-edge Artificial Intelligence into an innovative platform designed for infrastructure oversight. This technology can be utilized across various structures, including bridges, tunnels, slopes, and rock walls, offering precise insights into both the present and future conditions of the monitored entities. With WeStatiX, enhancements in structural safety are achievable, alongside the potential to streamline monitoring expenses and mitigate the ecological footprint of construction activities. Accessible directly through a web browser, WeStatiX|SHM enables users to develop tailored digital twins for the real-time surveillance of extant structures in the cloud. This versatile system caters to a wide array of infrastructures such as dams, buildings, and more, underscoring its adaptability. By leveraging a blend of advanced digital technologies, combined with the power of artificial intelligence algorithms, it serves as a formidable resource for the inspection and upkeep of any monitored structure. Additionally, the platform facilitates a proactive approach to maintenance, ensuring that infrastructure integrity is continually assessed and preserved.

Develop an integrated and streamlined master data management approach across all your business sectors to enhance enterprise data oversight, improve data precision, and lower overall ownership costs. Launch your organization's cloud-based master data management project with a low entry threshold and the flexibility to implement extra governance scenarios at a comfortable pace. By consolidating SAP and external data sources, establish a singular, trusted reference point and facilitate the mass processing of substantial data updates efficiently. Outline, confirm, and track the established business rules to ensure the readiness of master data while assessing the effectiveness of your master data management efforts. Foster a cooperative workflow system with notifications that empower different teams to manage distinct master data characteristics, thereby ensuring the validity of specified data points while promoting accountability and ownership throughout the organization. Moreover, by prioritizing these strategies, you can significantly enhance data consistency and facilitate better decision-making across all levels of the enterprise.

IBM InfoSphere® Information Governance Catalog is an online platform designed to help users investigate, comprehend, and evaluate their data. It facilitates the creation and management of a shared business lexicon, enables the documentation and implementation of policies and rules, and allows for the monitoring of data lineage. By integrating with IBM Watson® Knowledge Catalog, users can utilize existing curated datasets and enhance their on-premises Information Governance Catalog investment by extending it to the cloud. This knowledge catalog empowers data professionals by providing easy access to valuable metadata, ensuring that data science and analytics teams can find the optimal resources for their needs while maintaining alignment with enterprise governance standards. It establishes a unified business language and terminology that fosters a more profound understanding of all data assets, whether they are structured, semi-structured, or unstructured. Additionally, it records governance policies and implements rules, guiding how information should be organized, stored, transformed, and transferred, thus promoting efficiency and compliance within an organization. Overall, the platform not only supports effective data management but also enhances collaboration among teams by ensuring that everyone has access to the same foundational data understanding.

Professionals engaged in the design, construction, and management of intricate, large-scale building projects and real estate portfolios greatly appreciate how SmartWorldPro simplifies the processes of data aggregation, visualization, querying, and analysis, turning them into an engaging experience. All relevant data and systems—including design elements, parcel details, legal documents, financial records, leasing information, work orders, energy consumption, maintenance logs, security details, and transaction histories—are accessible in a single, streamlined platform. This ease of data access is further enhanced by SmartWorldPro's offering of over one billion curated, geo-tagged urban context data layers, which encompass everything from open city information to paid data services and IoT inputs. The platform's annotation tools empower users to swiftly and effortlessly tag objects within a model using information sourced from various channels, while intuitive icons facilitate the identification of different objects and the generation of tailored reports. SmartWorldPro truly comes alive in this environment, providing users with an array of visualization options, such as diverse color palettes, preset objects, and base maps, allowing them to create scenes that reflect their unique preferences and requirements. Ultimately, this versatility encourages greater creativity and productivity among users in their respective projects.

Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

An agile platform for end-to-end DataOps that not only enhances but also protects your data assets is available through Arena, the leading augmented data management solution. With our dynamic data catalog, users can enrich and access data independently, facilitating efficient management of intricate data landscapes. Tailored workflows enhance the precision and dependability of every dataset, while machine learning identifies and aligns master data assets to facilitate superior decision-making. Comprehensive lineage tracking, accompanied by intricate visualizations and advanced security measures like masking and tokenization, ensures utmost protection. Our platform simplifies data management by cataloging data from any location, with flexible connections that allow analytics to integrate seamlessly with your chosen tools. Additionally, our software effectively addresses the challenges of data sprawl, driving success in business and analytics while offering essential controls and adaptability in today’s diverse, multi-cloud data environments. As organizations increasingly rely on data, Arena stands out as a vital partner in navigating this complexity.

Master Data Management serves as a centralized repository for your international tax and legal entity information, ensuring that the system is both integrated and up-to-date for maximum reliability. It enhances the efficiency of reporting and essential operational workflows that depend on comprehensive legal entity data while allowing for centralized data governance and access control, which ultimately saves time and minimizes potential errors. The platform’s adaptability, featuring real-time calculations and a detailed history of ownership values along with other significant attributes, facilitates smoother reporting and modeling, leading to improved analytical capabilities throughout your organization. With the inclusion of multi-factor authentication and adaptable access controls, you can customize security measures to fit your specific requirements, enabling the use of a unified tool across various functions that need on-demand access to the same information. This system is meticulously designed to cater to the unique requirements of tax, corporate secretarial, and legal departments, ensuring they have the resources necessary for success. Moreover, by consolidating data management into one system, organizations can achieve greater transparency and responsiveness in their operations.

Atlas serves as a versatile and scalable suite of essential governance services, empowering organizations to efficiently comply with regulations within the Hadoop ecosystem while facilitating integration across the enterprise's data landscape. Apache Atlas offers comprehensive metadata management and governance tools that assist businesses in creating a detailed catalog of their data assets, effectively classifying and managing these assets, and fostering collaboration among data scientists, analysts, and governance teams. It comes equipped with pre-defined types for a variety of both Hadoop and non-Hadoop metadata, alongside the capability to establish new metadata types tailored to specific needs. These types can incorporate primitive attributes, complex attributes, and object references, and they can also inherit characteristics from other types. Entities, which are instances of these types, encapsulate the specifics of metadata objects and their interconnections. Additionally, REST APIs enable seamless interaction with types and instances, promoting easier integration and enhancing overall functionality. This robust framework not only streamlines governance processes but also supports a culture of data-driven collaboration across the organization.

OneTrust offers a comprehensive Data & AI Governance solution that integrates various insights from data, metadata, models, and risk assessments to create and implement effective policies for data and artificial intelligence. This platform not only streamlines the approval process for data products and AI systems, thereby fostering faster innovation, but also ensures business continuity through ongoing surveillance of these systems, which helps maintain regulatory adherence and manage risks efficiently while minimizing application downtime. By centralizing the definition and enforcement of data policies, it simplifies compliance measures for organizations. Additionally, the solution includes essential features such as consistent scanning, classification, and tagging of sensitive data, which guarantee the effective implementation of data governance across both structured and unstructured data sources. Furthermore, it reinforces responsible data utilization by establishing role-based access controls within a strong governance framework, ultimately enhancing the overall integrity and oversight of data practices.

The development of IT Governance platforms designed for managing Large Computing Systems, particularly those utilizing Mainframe technology, aims to modernize organizational practices and decrease cost structures. The Challenge: The significant ownership expenses associated with Large Computing Systems are a major concern. A multitude of specialized products and countless reports are required for the effective management of the entire spectrum of customers' Large Computing Systems. There is a notable challenge in formulating and supervising the principles of effective IT Governance, as well as a lag in adapting these principles to the rapidly changing technological landscape. Additionally, there is a skills gap regarding Large Computing Systems, leading to a heavy reliance on system integrators and outsourcing services. The Proposed Solution: Implementing real-time mapping of hardware assets along with the collection of service delivery metrics will streamline management processes. A unified platform will be established to oversee both the Large Computing Systems and the delivery of business services. Utilization of Machine Learning technologies will enable the automatic classification of the collected metrics, as well as their correlation with business service delivery and the associated Key Performance Indicators. This integrated approach not only enhances efficiency but also provides organizations with the agility needed to adapt to future technological advancements.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Profisee masterdata management (MDM) platform offers organizations a fast, cost-effective and scalable way to distribute trusted data throughout the enterprise. Organizations can manage their enterprise data without the complexity, risk, or data domain boundaries of traditional MDM systems. They can also ensure high data quality and synchronize trusted golden records across databases and systems to provide a single source.

Cloudbridge serves as the pivotal core where all data and processes converge, enabling users to efficiently create and automate workflows from one accessible location. Connect and integrate your source data with cloud applications across your diverse IT landscape. Gain confidence and reliability in your information through robust master data management functionalities. Enhance your team's productivity by providing them with swift and straightforward access to data and applications, allowing them to achieve more in a shorter timeframe. Positioned at the heart of your data and enterprise architecture, Cloudbridge offers a unified platform for synchronizing, refining, reviewing, and modifying your master data. It establishes a "golden source" of information that guarantees the data your team relies on is both trustworthy and precise. As you make updates to your metadata, you’ll see the effects propagate seamlessly throughout your applications and systems, fostering a more cohesive operational environment. This interconnectedness ultimately leads to improved decision-making and a more agile organization.

A digital twin that is driven by analytics and based on simulations serves as a virtual counterpart to a physical asset currently in use, functioning as a comprehensive multidomain system simulation that reflects the asset's lifecycle and performance. These hybrid digital twins facilitate the design and optimization of systems, as well as predictive maintenance strategies, which in turn enhance the management of industrial assets. By utilizing Ansys Twin Builder, organizations can boost their revenue, control expenses, and gain a significant edge over competitors. This tool allows for the rapid development of a digital twin, which acts as an interconnected representation of an operational asset, leading to improved management throughout its lifecycle and enabling effective predictive maintenance. Such capabilities not only help reduce costs but also play a crucial role in sustaining a lasting competitive advantage in the marketplace.

AssetWise ALIM provides essential and reliable engineering asset information that enhances accessibility, quality, integrity, and relevance throughout the asset lifecycle. By utilizing AssetWise ALIM as your primary system for record-keeping, you can effectively manage both structured and unstructured data, oversee documents and records, handle changes, and guarantee that precise information reaches engineering, operations, and maintenance teams. With its inherent spatial and network awareness, AssetWise effectively utilizes digital engineering models to boost asset performance significantly. Furthermore, AssetWise ALIM incorporates best practices for configuration and change management, facilitating the management of the relationships between various information types such as asset data, documents, organizations, requirements, individuals, and processes. By accurately managing, controlling, distributing, and archiving all types of information pertinent to infrastructure assets, you can achieve increased efficiency and streamlined operations. This comprehensive approach ensures that stakeholders have access to the most current and relevant data, ultimately leading to informed decision-making and enhanced operational outcomes.

A user-friendly low-code desktop application facilitates the creation of large-scale visualizations for enterprises. It ensures that essential metadata and intricate assembly tree structures, typical in advanced CAD solutions, are retained, allowing for a thorough examination of complex assets and systems without sacrificing performance. CAD models can be imported in just three minutes, while a fully detailed and animated scene can be realized in a contextual setting within three hours, with a complete visual digital twin ready in three days. This approach encourages early virtual error detection, enabling teams to undertake more ambitious projects while minimizing costs and risks. By safely exploring innovative ideas, a wider array of experts can be engaged in the process. The software supports a variety of structured and unstructured data formats, including CAD, BIM, point clouds, and outputs from IoT and MES, which can all be integrated into the scene. Consequently, this leads to the creation of rich virtual representations of real-world situations, offering a robust platform for contextual digital twins and fostering collaborative efforts in visualization projects.

Ensure timely project delivery while enhancing safety and operational efficiency through quick, user-friendly access to the Digital Twin. In every sector, managing the fabrication, upkeep, and operation of intricate assets necessitates precise data. Unfortunately, it is frequently observed that information is scattered across various formats in disjointed repositories, with teams often located in different parts of the world. This scenario leads to data silos and a significant deficit in transparency, efficiency, and trust within organizations. AVEVA Asset Information Management transforms data from numerous sources and systems into reliable, actionable insights by identifying and correlating all relationships among equipment, documents, drawings, and diverse data formats. This solution expedites information retrieval and connects remote teams to a unified data asset through a single, unique application, which can be implemented in the cloud, on-premise, or via a hybrid model, thus fostering collaboration and streamlined operations. Ultimately, such integration enhances overall productivity and decision-making across the organization.

OpenText Content Management provides an enterprise-level solution for managing and securing content across various departments and teams. The platform ensures that digital assets are easily accessible, properly stored, and protected, while adhering to industry standards for compliance and governance. It incorporates powerful tools for document collaboration, retention management, and AI-powered content processing. With its user-friendly interface and seamless integration with business applications, OpenText Content Management supports organizations in managing their content efficiently, improving operational performance, and ensuring long-term compliance.

Rapidly establish cloud environments tailored for spontaneous development, testing, and enhanced productivity for IT and business personnel. Mitigate the risks and expenses associated with managing your data lake by adopting robust data governance practices that include comprehensive end-to-end data lineage for business users. Achieve greater cost efficiency by providing clean, reliable, and timely data for your data lakes, data warehouses, or big data initiatives, while also consolidating applications and phasing out legacy databases. Benefit from automatic schema propagation to accelerate job creation, implement type-ahead search features, and maintain backward compatibility, all while following a design that allows for execution across varied platforms. Develop data integration workflows and enforce governance and quality standards through an intuitive design that identifies and recommends usage trends, thus enhancing user experience. Furthermore, boost visibility and information governance by facilitating complete and authoritative insights into data, backed by proof of lineage and quality, ensuring that stakeholders can make informed decisions based on accurate information. With these strategies in place, organizations can foster a more agile and data-driven culture.

SylLab Systems offers embedded compliance solutions designed for enterprise data security, addressing the challenges associated with privacy compliance and cybersecurity, which can be both costly and complex for many organizations. Often, companies struggle to navigate privacy regulations like HIPAA, GDPR, PDPA, and CCPA, leading to significant expenses related to architectural changes, legal consultations, and advisory services. As privacy laws continue to evolve and expand beyond existing IT frameworks, adapting to these changes can be both financially burdensome and time-intensive, requiring specialized legal and development knowledge. However, there exists a more effective and structured method for managing data governance that can adapt to your intricate IT landscape, whether it is hosted in the cloud or on-premises. By taking command of your compliance processes and tailoring them to align with your business strategies, you can streamline operations more efficiently. Discover the trusted solution utilized by major financial institutions worldwide and request a demo to explore its capabilities further. Embrace the future of compliance with confidence and ease.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Truedat is a collaborative open-source tool designed for data governance, created by Bluetab Solutions to assist clients in transitioning into data-centric organizations. We specialize in outlining business processes, defining roles and responsibilities, and ensuring that these processes are effectively implemented. Furthermore, we focus on the integration and customization of Truedat’s open-source components to enhance data governance practices. Our commitment includes providing ongoing support and maintenance for the software and processes associated with the solution modules we install. Drawing from over eight years of expertise in Data Governance consulting and development, we have crafted a solution that addresses the challenges of managing and controlling intricate and ever-evolving data architectures. As enterprises increasingly migrate their IT infrastructures to cloud, multi-cloud, and hybrid environments, the complexity and variety of data sources expand, amplifying the demand for Truedat. This solution not only streamlines governance but also empowers organizations to navigate the complexities of modern data landscapes effectively.

Effectively managing data throughout its lifecycle enables organizations to better achieve their business objectives while minimizing potential risks. It is essential to archive data from obsolete applications and past transaction records, ensuring that access remains available for compliance-related queries and reporting. By scaling data across various applications, databases, operating systems, and hardware platforms, organizations can enhance the security of their testing environments, speed up release cycles, and lower costs. Without proper data archiving, the performance of critical enterprise systems can suffer significantly. Addressing data growth directly at the source not only boosts efficiency but also reduces the risks tied to managing structured data over time. Additionally, safeguarding unstructured data within testing, development, and analytics environments across the organization is crucial for maintaining operational integrity. Ultimately, the absence of a robust data archiving strategy can hinder the effectiveness of vital business systems. Taking proactive steps to manage data effectively is key to fostering a more agile and resilient enterprise.

Harnessing the capabilities of artificial intelligence, these dynamic maps enable you to make informed decisions regarding your surroundings while offering digital solutions across various fields such as civil engineering, utilities, insurance, construction, and the public sector. RoadBotics has developed a sophisticated AI platform known as RoadWay, which streamlines road evaluations and has assisted more than 250 governments globally in effectively managing their road systems. The latest innovation, AgileMapper, allows you to oversee all your visual data within a single collaborative enterprise mapping tool. Once an asset's image is taken and enhanced with geo-tagging, a time-stamp, and user information, our AI springs into action! By utilizing an extensive array of tags that include traffic signs, benches, manholes, and fire hydrants, the AI automatically recognizes and labels your images. Moreover, if you have defined specific naming conventions, you have the option to generate custom tags for personalized asset labeling. This flexibility ensures that your data organization aligns perfectly with your operational needs.

An end-to-end system govern-by-value Data Excellence Management System(c), (DEMS), is a web-based multilingual solution (on-premises or cloud) that uses context intelligence based on semantics and artificial intelligence techniques to allow organisations to automate data governance and business excellence. It also helps to reduce operational costs by reducing operational costs. DEMS facilitates a factual, value-driven collaboration that engages all levels of end-users in the ultimate value creation. It helps organisations manage their data policies and comply with evolving regulations such as FINMA or GDPR. DEMS is a measure of the maturity of your organization's functions and resources. It establishes accountability throughout the organisational structure. It also links data assets to value flows to predicatively guide business strategies.

Enhance your organization's efficiency and teamwork by offering a real-time, precise perspective on intricate network assets that can be accessed by anyone, anywhere. The IQGeo Platform, previously known as myWorld, serves as the cornerstone of our award-winning software solutions, revolutionizing how telecom and utility network operators design and manage their intricate and ever-changing network assets. Its mobile-first design facilitates the creation of an up-to-date and accurate digital representation of your physical operations, which can be securely shared among thousands of field and office personnel, thereby fostering better collaboration and boosting operational efficiency. Additionally, IQGeo's enterprise geospatial software can be independently implemented to assist mobile field teams and contractors, equipping them with essential tools to optimize construction and maintenance workflows, significantly enhancing the quality of field data collected. This unified approach not only streamlines processes but also empowers teams to make more informed decisions based on real-time insights.

In today's digital economy, businesses must be agile and utilize a master data management system that is not only scalable but also facilitates hyper-personalization and real-time processing. The Reltio Connected Data Platform stands out as a cloud-native solution capable of managing billions of customer profiles, each enhanced with a myriad of attributes, relationships, transactions, and interactions sourced from numerous data origins. This platform enables enterprise-level mission-critical applications to function continuously, accommodating thousands of internal and external users. Furthermore, the Reltio Connected Data Platform is designed to scale effortlessly, ensuring elastic performance that meets the demands of any operational or analytical scenario. Its innovative polyglot data storage technology offers remarkable flexibility to add or remove data sources or attributes without experiencing any service interruptions. Built on the principles of master data management (MDM) and enhanced with advanced graph technology, the Reltio platform provides organizations with powerful tools to leverage their data effectively. With the ability to adapt rapidly, the Reltio platform positions itself as an essential asset for businesses aiming to thrive in a fast-paced digital landscape.

a.k.a.® facilitates the seamless transformation of data from one form to another with minimal user effort. Utilizing our data exchange tools, your information can be displayed in a web browser or converted into formats that machines can read, making it ready for integration into your existing systems. This platform empowers non-technical users to create intricate data structures without needing specialized IT assistance. Additionally, it allows for the effective management of your information governance framework throughout its entire lifecycle. Both current and historical data can coexist harmoniously within a.k.a.®, thereby supporting your enduring governance needs. Backed by a team of skilled information governance experts, our goal is to reduce the intricacies involved in record and information management. Over 400 organizations globally benefit from a.k.a.®, which is recognized for its unmatched adaptability and ability to provide a wide array of information governance solutions. Our commitment to continuous improvement ensures that we meet the evolving needs of our users.

GridBuddy Connect simplifies data management and workflow processes with an intuitive interface that combines multiple CRM objects into a single, editable view. The platform supports powerful features like real-time search, conditional formatting for important fields, and easy integration with CRM systems such as Salesforce, Microsoft Dynamics 365, and Zendesk. By organizing data in a tabbed workspace and allowing batch actions, GridBuddy Connect helps businesses optimize their processes, improve productivity, and streamline how teams manage customer data.

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.

Dataplex Universal Catalog provides enterprise-wide visibility and governance for structured, semi-structured, and unstructured data. Its AI-powered semantic search allows users to query data in natural language, eliminating the need for complex search syntax. The platform enriches metadata with business context through glossaries, ownership attributes, and key usage details, supporting informed decision-making. It offers automated metadata ingestion, classification, and enrichment, reducing manual data management tasks. With built-in lineage tracking, organizations can trace data origins, transformations, and dependencies across multiple sources. BigQuery integration brings these governance capabilities directly into the analytics workflow, enhancing productivity. By connecting with BigLake, Dataplex extends governance to open lakehouses with Apache Iceberg and other engines. The result is a secure, scalable foundation for managing data-to-AI lifecycles across cloud-native and open-source ecosystems.