Alternatives to ER/Studio Enterprise Team Edition

You will be able to adapt and gain the insights you need in any market. Oracle Fusion Cloud Enterprise Performance Management, (EPM), helps you plan and model across finance, HR and supply chain. It also streamlines the financial close process and makes it easier to make better decisions. Your needs are met with comprehensive functionality across financial and operational planning as well as consolidation and close, master information management, and other areas. For enterprise-wide agility, and alignment, seamlessly connect finance with all lines of business. With built-in, advanced analytics and scenario modeling, you can make better decisions. Oracle EPM consistently ranks high in analyst rankings. Thousands of customers get more value from Oracle EPM when they use the cloud to run their EPM processes. You can create connected, agile plans that are built on best practices using advanced technologies. This includes everything from budgeting and line-of-business planning to scenario modeling and long-range planning.

With SAP PowerDesigner software, you can create a blueprint of your enterprise architecture and visualize the impact on change. You can instantly capture your requirements and architecture layers, tap into a powerful repository of metadata, and share your discoveries with your team using capabilities like data modeling, link-and-sync, and metadata management. Link-and-sync technology allows you to create tight connections between your company’s unique requirements, data models, and language. A secure metadata repository supports all types of modeling and allows developers to exchange information with enterprise architects. A flexible, wizard-driven system that allows for Web-based reporting and documentation can simplify the lives of your IT staff and users.

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

Data design software that allows you to model, link, standardize, and integrate distributed data assets across your enterprise. IBM InfoSphere®, Data Architect is a collaborative enterprise-level data modeling and design tool that can simplify and accelerate integration design in business intelligence, master data management, and service-oriented architecture initiatives. InfoSphere Data Architect allows you to collaborate with users at all stages of the data design process: from project management to application development to data design. This tool can help you align processes, applications, and data architectures. Simple warehouse design, dimensional modelling and change management tasks reduce development time. You also have the tools to design and manage warehouses using an enterprise logical model. Column-organized tables that are time stamped and column-organized provide a better understanding of data assets, which can help increase efficiency while reducing time to market.

ER/Studio Enterprise Team Edition, the most popular business-driven data architecture solution, combines multi-platform data modelling, business process modeling, enterprise metadata, and business process modeling for organizations of all sizes. The ER/Studio suite offers a wide range of features, including robust logical and physically modeling with ER/Studio Data Architect and business process and conceptual modeling using ER/Studio Business Architect. There are also business glossaries with ER/Studio Team Server to help you build your data governance programs. Establish a foundation for data governance. First, you need to understand how data flows within your organization. Business process models are the best way to document this. ER/Studio Business Architect allows you to document the relationships between people, processes, data, and other information.

The lack of integration between the different metadata used in IT, operations and compliance is a major problem in metadata management. TIBCO Cloud™, Metadata software provides a single solution that covers all your metadata, including data dictionaries and business glossaries. Built-in machine learning (ML), and artificial intelligence (AI), algorithms allow for metadata classification and data linesages (horizontal vertical, regulatory). You need to provide the data context, coherency and control that you need to achieve the best efficiency, best performance, smartest decision-making, and highest level of collaboration across all your departments and teams. For effective execution, analysis, governance, and governance, you need consistent metadata about your operations, compliance, and analytics. Instead of using multiple solutions, choose one. You can discover, harvest, and manage metadata for all your applications, data lakes, enterprise warehouses, data lakes, APIs, streaming sources, and social media.

By 2020, more than 170 organizations from 31 countries and 44 industries will use Prolaborate for architecture information sharing. Enterprise Architect is the tool of choice for architects and models around the world for over a decade. It has more than 1 million registered users. Prolaborate, on the other hand, is quickly becoming the essential tool for Sparx users. Prolaborate's goal is to help business stakeholders make better decisions faster by providing the right information at the right time. Sparx Systems Prolaborate lets You 1. Share information about your EA models and simplify them with stakeholders. 2. You can publish them in knowledge management software like Confluence or SharePoint. 3. Discussions and reviews can be used to collaborate with users from the business world and those who are not EA users. 4. Integrate with Jira Azure DevOps. 5. Visualize model data through dynamic charts and visualizations.

Open Source modeling toolkit to create ArchiMate sketches and models. Enterprise Architects worldwide use this toolkit. The Archi®, modeling toolkit is designed for all levels of Enterprise Architects. It is a low-cost solution for users who are just starting to use the ArchiMate modelling language or those who are looking for an open source, cross-platform ArchiMate model tool for their company. The ArchiMate®, an independent Enterprise Architecture standard, supports the analysis, visualization, and description of architecture within and between business domains. ArchiMate is a standard hosted by The Open Group® and fully aligned to TOGAF®. ArchiMate assists stakeholders in assessing the impacts of design changes and choices.

Global IDs offers a variety of Enterprise Data Solutions, including data governance, cloud migration, compliance, privacy, analytics, and rationalization. Global IDs EDA Platform features include automated discovery and profiling as well as data classification, data lineage and data quality. These functions make data transparent, trustworthy, and easily understandable for all members of the ecosystem. Global IDs EDA platform architecture was designed to integrate from the ground up, with all platform functionality available via APIs. Global IDs EDA platform automates data administration for enterprises of all sizes and data ecosystems.

Anzo is a modern data integration and discovery platform that allows anyone to find, connect, and blend enterprise data into analytics-ready datasets. Anzo's unique use semantics and graph models makes it possible for anyone in your company - from data scientists to novice business users to drive data discovery and integration and create their own analytics-ready data sets. Anzo's graph models give business users a visual map of enterprise data that is easy for them to understand and navigate, regardless of how complex, siloed, or large their data may be. Semantics adds business content to data. It allows users to harmonize data using shared definitions and create blended, business-ready data upon demand.

MagicDraw supports UML 2 metamodel. This is the most recent XMI standard for data storage, and the most popular programming languages to implement. MagicDraw makes it simple to create a Software Development Life Cycle environment (SDLC) that suits your business's needs. Our Open API and standard approach make it easy to integrate with other applications that support your business's needs. We integrate with many top products, including IDEs, requirements and testing, estimation, MDD, databases, and other tools. MagicDraw is independent from any particular software development process. It conforms well to your company's process and allows centralization of business process modeling, requirements capture, and design. MagicDraw isn't tied to any phase of your project.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

Atlas is a flexible and extensible set core foundational governance services that enable enterprises to efficiently and effectively meet their compliance requirements within Hadoop. It also allows integration with the entire enterprise data ecosystem. Apache Atlas offers open metadata management and governance capabilities that allow organizations to create a catalog of their data assets, classify, govern and provide collaboration capabilities around these assets for data scientists, analysts, and the data governance group. Pre-defined types to manage various Hadoop and non Hadoop metadata. Ability to create new types to manage metadata. Types can inherit from other types, and can have simple attributes, complex attributes, and object references. Type instances, also known as entities, are able to capture metadata object details and their relationships. REST APIs allow for easier integration with types and instances.

There is a greater demand for data-driven insight and innovation than ever before. To maintain a competitive edge in today’s global enterprises, it is essential to be able to use trusted data to make informed business decisions. Despite the fact that most companies have a lot of data, business leaders often don't know how to access it. ASG Data Intelligence is the solution to data distrust. It is a metadata-driven platform which makes technical data "smarter". It provides end-to-end views and movements of data (data lineage), as well as business meanings and usage guardrails. Data value can be unleashed when it is made available, understood, and trusted by all users in your organization, including data scientists, analysts and marketers. Improved understanding of data's origins, business context and processes will help you build trust in it.

The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible.

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.

Enterprise Architect is an enterprise-wide solution that allows you to visualize, analyze and model, test, and maintain all your software, processes, and architectures. Enterprise Architect is the perfect platform to help you manage your workspace, support your team, encourage collaboration, and build confidence in your most complex projects.

Data Lake Governance Center (DGC) is a one-stop platform for managing data design, development and integration. It simplifies big data operations and builds intelligent knowledge libraries. A simple visual interface allows you to build an enterprise-class platform for data lake governance. Streamline your data lifecycle, use metrics and analytics, and ensure good corporate governance. Get real-time alerts and help to define and monitor data standards. To create data lakes faster, you can easily set up data models, data integrations, and cleaning rules to facilitate the discovery of reliable data sources. Maximize data's business value. DGC can be used to create end-to-end data operations solutions for smart government, smart taxation and smart campus. Gain new insights into sensitive data across your entire organization. DGC allows companies to define business categories, classifications, terms.

IBM InfoSphere®, Information Governance Catalog is a web-based application that allows you to search, understand, and analyze information. You can create, manage, share, and even enact policies and guidelines, as well as track data lineage. Combine with IBM Watson®, Knowledge Catalog to make use of existing curated data sets, and extend your investment in the Information Governance Catalog on-premises to the cloud. A knowledge catalog lets you put your collected metadata in the hands of knowledge workers, so that data science and analytics communities have easy access to the best assets for their purposes while still adhering with enterprise governance requirements. It provides a common language and vocabulary that allows for a deeper understanding of all data assets, whether they are structured, semi-structured, or unstructured. Documents governance policies and enacts rules that help you determine how information should be stored, transformed, and moved.

Inquiring is the most popular platform for strategic enterprise planning. It allows large organizations to do more with their data and make it even better. The IQ platform provides total integration, unparalleled insight, and maximum impact for modern enterprises. It includes a powerful suite of strategic planning tools as well as industry-leading metadata management. InQuisient's patented platform offers unparalleled data management capabilities, and it delivers it all through your existing knowledge workers. You can either create a completely customized database solution from scratch or use a powerful suite out-of-the box tools. Or, you can do both. An intuitive web browser interface allows you to quickly and securely deliver the power of your data into your organization. You can plan, change, transform, and manage smarter and more efficiently with InQuisient's web browser interface. InQuisient's powerful PPM tools and platform will show you why IQ is the trusted solution for enterprises.

erwin Data Modeler makes enterprise data easier to manage and more accessible. The most trusted data modeling tool, erwin Data Modeler, is used by top brands around the world to create a unified view from any location of any data to increase its understanding, trust, and use within the organization. There are three versions of erwin data modeler: Standard, Workgroup, or Navigator.

The Collibra Data Intelligence Cloud offers a best-in class catalog, flexible governance and continuous quality. It also has built-in privacy. A best-in-class data catalogue that supports your users includes embedded governance, privacy, and quality. You can raise the bar by ensuring that teams can quickly access, understand, and access data from all sources, including business applications and data science tools, in one central location. Your data deserves privacy. Automate, centralize and guide workflows to encourage collaboration and operationalize privacy. Collibra Data Lineage gives you the complete story about your data. Automatically map relationships between applications, systems, and reports to provide a context rich view of the enterprise. Focus on the data that you are most concerned about and make sure it is accurate, complete, and trustworthy.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

Although your organization understands the value of data, and how it must be accessible to business users for maximum impact, enterprise data governance can make it difficult to trust, understand, or find that data. Data360 Govern, an enterprise data governance, metadata, and catalog management solution, gives you confidence in your data's quality, value, and trustworthiness. It automates governance tasks and stewardship tasks, helping you to answer critical questions about your data's origin, use, meaning, ownership and quality. Data360 Govern allows you to make faster decisions about data usage and management, foster collaboration across your organization, and give users the ability to get the answers they require - whenever they need them. Transparency into your company's data landscape allows you to track the most critical data that aligns with your business goals.

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.

SAP Information Steward software allows for data profiling, monitoring, and information policy management. It is the information governance layer of SAP Business Technology Platform and can help you to anticipate risk and achieve better business outcomes. To gain continuous insight into your enterprise's data model integrity, combine data profiling, metadata management, and data lineage. You will gain a better understanding about the data quality in your data management landscape while accessing and analysing metrics using intuitive dashboards and scorecards. Supporting analysts, data stewards, IT experts, and other professionals with consistent validation rules, guidelines, can improve enterprise information management initiatives. Data profiling and metadata management are two solutions that can help you discover, assess, define and monitor the quality of your enterprise's data assets. Run what-if analyses to forecast the savings that improved data quality could bring.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

Aggua is an AI platform with augmented data fabric that gives data and business teams access to their data. It creates Trust and provides practical Data Insights for a more holistic and data-centric decision making. With just a few clicks, you can find out what's happening under the hood of your data stack. You can access data lineage, cost insights and documentation without interrupting your data engineer's day. With automated lineage, data engineers and architects can spend less time manually tracing what data type changes will break in their data pipelines, tables, and infrastructure.

Enterprise File Fabric™, a private, secure, policy driven multi-cloud content and collaboration platform, provides an efficient, secure, and private solution for storing, sharing, and collaborating with other users. It doesn't ship with storage. It works with any company's existing storage portfolio, on-cloud or off-premises. Enterprise File Fabric™, unifies, secures, and makes all types of storage (including object storage), easily accessible for end-users. The Enterprise File Fabric for Compliance is available in three product variations: 1. It enforces GDPR/CCPA/ HIPAA by providing intelligent policy-based enforcement across all corporate data. 2. The Enterprise File Fabric for Media and Entertainment provides a unified view to media assets that can both be distributed on-cloud and on premises.

erwin Data Intelligence, or erwin DI, combines data literacy and data catalog capabilities to provide greater awareness and access to data assets, guidance on how to use them, and guardrails to ensure that data policies and best practice are followed. Automatically extract, transform, and feed metadata from a variety of data sources, operational process, and data models into one central catalog. It is then made accessible and understandable through role-based, contextual views. This allows stakeholders to make strategic decisions based upon accurate insights. erwin DI supports enterprise information governance, digital transformation, and any other effort that relies upon data to achieve positive outcomes. You can schedule ongoing scans of metadata from a wide range of data sources. You can easily map data elements from source and target, including data moving, and harmonize data integration across platforms. Data consumers can easily identify and find data that is relevant to their roles.

No more data catalog ghost cities. Acryl Cloud accelerates time-to-value for data producers through Shift Left practices and an intuitive user interface for data consumers. Continuously detect data-quality incidents in real time, automate anomaly detecting to prevent breakdowns, and drive quick resolution when they occur. Acryl Cloud supports both pull-based and push-based metadata ingestion to ensure information is reliable, current, and definitive. Data should be operational. Automated Metadata Tests can be used to uncover new insights and areas for improvement. They go beyond simple visibility. Reduce confusion and speed up resolution with clear asset ownership and automatic detection. Streamlined alerts and time-based traceability are also available.

DataGalaxy’s all-in one data catalog provides out-of-the box actionability, with fully-customizable features, visualization tools, AI integration, to give business teams a way to document, link and track their metadata assets. The Data Catalog 360deg platform's user-centric approach is dedicated to metadata management, knowledge sharing, and mapping. This helps your organization manage data in the way that you want. A data catalog allows employees from different teams to collaborate by using homogeneous, centralized data sets. Our data catalog provides clarity for data definitions, synonyms and essential business attributes. It also includes a semantic layer to help all users understand and leverage data. If you are looking for answers on a specific metadata, the data catalog will identify 360deg data experts and owners. This will empower your team by facilitating collaboration.

Master data management (MDM) must be understood in its entirety. We need to first understand master data and distinguish it from master data management. Master data is critical business information that classifies and supports the enterprise's transactional and analytical data. It is also known as "enterprise" or "metadata" and can include application-specific metadata, alternative perspectives, corporate dimensions and reference data. Enterprise data can include chart of accounts and organization or cost-center structure, market segments, product types, and many other things. Master data management (MDM), does exactly what its name suggests: manages master data. MDM is a combination of technologies and applications that consolidate, cleanse, and augment master data and synchronize it with applications, business processes and analytical tools.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

DvSum, an AI-powered Data Intelligence platform, makes it remarkably easy for data and analytics teams discover, monitor, and govern data. DvSum uses powerful AI-enabled algorithms to automatically catalog, classify, and curate your data and make it available as a Data Catalog. DvSum Data Intelligence will help you propel your enterprise towards its digital- and analytics-enabled transformation goals.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

What if your data had a recommendation engine? Automated data inventory was created. A searchable catalog showed user behavior. Smart recommendations were made inline by the system as you typed queries. Alation, the first enterprise-wide collaborative data catalog, makes all this possible. It's a powerful tool that dramatically increases the productivity of analysts and the accuracy of analytics. It also empowers business decision-making for everyone. Alation provides proactive recommendations to data users through applications. Google inspired us to create a simple interface that connects the language of your business with the technical schema of your data. No more is it difficult to find the data you need due to complicated semantic translations. Are you unfamiliar with the data environment and unsure which data to use in your query. Alation allows you to build your query and provides inline recommendations that indicate whether data is trustworthy.

A data model for the industry from IBM is a blueprint that combines best practices, government regulations, and the complex data analysis needs of the industry. A model can help manage data lakes and data warehouses to gain deeper insights that will allow you to make better decisions. These models include business terminology, warehouse design models, and business intelligence templates. This framework is designed for specific industry-specific organizations to help you accelerate your analytics journey. Industry-specific information infrastructures make it easier to analyze and design functional requirements. To model changing requirements, create and rationalize data warehouses with a consistent architecture. To accelerate transformation, reduce risk and deliver better data to all apps. Establish enterprise-wide KPIs to address compliance, reporting, and analysis requirements. To govern your data, use industry data model vocabulary and templates for regulatory reporting.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

In just 15 minutes, you can set up your automated data catalogue and receive column-level lines, Entity Relationship diagrams, and auto-populated documentation in 24 hours. You can easily tag, find, and add documentation to data so everyone can find the right one for them. Select Star automatically detects your column-level data lineage and displays it. Now you can trust the data by knowing where it came. Select Star automatically displays how your company uses data. This allows you to identify relevant data fields without having to ask anyone else. Select Star ensures that your data is protected with AICPA SOC2 Security, Confidentiality and Availability standards.

CXOs, business leaders, and IT stakeholders can benefit from the insight and insights that EA teams provide to make informed decisions and take actions. Essential achieves this by focusing exclusively on enterprise architecture excellence while making it easily accessible to all. We have decades of experience in EA consulting and working with large-scale companies across all industries. We know what enterprise architects value and have developed a structured approach to accelerate its delivery. This guide will provide a step-by-step, scenario-driven guide to delivering the most valuable value to you. Allows you to quickly bulk load data. Non-architects can contribute to and maintain your data. It provides actionable output for those stakeholders who matter. The Essential Meta Model is a comprehensive, extensible, and easy-to-use meta model for describing an enterprise, from top to bottom.

You can use the most appropriate modeling techniques to meet your business needs. You will receive a support that ensures collaboration between people and a range expertise, as well as dedicated methodological support. You can adapt the platform to suit your organization (actors, roles, expertise, projects and federated organisations). All models and documentation can be stored in a consistent and standardised repository. You can share information instantly through WEB portals and up-to-date documents. Define the common language that is appropriate to each participant. Manage the repository. You have software that can adapt to the changes in load of projects or teams. No matter where they are located, teams can access the solution. Permanent support at both the functional and material levels.

Oracle Enterprise Metadata Management is a comprehensive platform for managing metadata. OEMM can extract and catalog metadata from any metadata provider, including relational and Hadoop, ETL and BI, as well as data modeling and many others. OEMM is more than a metadata repository. It allows interactive searching and browsing of metadata, as well as providing data lineage and impact analysis, semantic definition, and semantic usage analysis for all metadata assets within the catalog. The advanced algorithms of OEMM combine metadata from all providers to provide the complete data path from source to report or vice-versa. OEMM supports almost any metadata provider, including data modeling tools, databases and CASE tools, Hadoop engines, ETL engines. Warehouses, BI, EAI environments and many others.

You can scan and index metadata, discover and profile information, and provide detailed lineage across tens to millions of data sets. To maximize data reuse and data value, classify and organize data assets in any environment. Automate scanning across multiple cloud platforms, BI tools and ETL tools; and data types. AI-powered domain discovery, data similarities, business term associations, recommendations, and recommendation making are possible. You can track data movement from high-level system views through to fine column-level lineage and get detailed impact analysis. The Data Asset Analytics dashboard allows you to see asset usage, enrichment, collaboration. You can view data quality rules, scorecards and metric groups in context. You can tap into shared data knowledge through certifications, ratings, reviews, a Q&A forum, and change notifications. Informatica stands out from the rest with its extensive range of enterprise-grade data management products.

IBM® Engineering Systems Design Rhapsody (Rational Rhapsody), and its family of products, offer a proven solution to modeling and system design activities. This allows you to manage the complexity that many organizations face when it comes product and system development. Rhapsody is part the IBM Engineering portfolio. It provides a collaborative design environment and test environment for system engineers. It supports UML and SysML as well as UAF and AUTOSAR. This solution allows for the control of defense frameworks (DoDAF/ModAF, UPDM), and speeds up industry standards like ISO 26262, DO-178B/C, and DO-178B/C. Continuous validation is possible through rapid prototyping, simulation, and execution. This allows you to correct errors sooner than they become costly. Automated consistency checking can improve agility and collaboration to reduce both recurring as well as non-recurring costs.

Intelligent cataloging enables you to activate business-ready data for AI/analytics. It is supported by active metadata management and policy management. IBM Watson®, Knowledge Catalog is a data catalogue tool that powers intelligent, self service discovery of data, models, and more. The cloud-based enterprise metadata repository activates data for AI, machine learning (ML), and deep learning. Access, categorize, categorize, and share knowledge assets, data, and their relationships wherever they are located. To provide the right context and drive value across requirements such as regulatory compliance and data monetization, organize, define, and manage enterprise data. Active policy management and dynamic masking allow clients to trust you. This will help protect data and manage compliance and audit readiness. With intuitive dashboards and flows, you can consume and transform data at the speed and convenience of business. These flows can be shared with colleagues or analytics tools.

The Adaptive Metadata Manager™, a set of highly configurable software components, provides an organization with eight core capabilities that allow it to manage and improve any data-driven business capability. These capabilities include Data Lineage, Data Quality and Impact Analysis, Business Terminology as well as Business to Technical Traceability, Version management, Change Approval Workflows, Stewardship and Automated Harvesting, & Stitching. Application modules can be accessed through a web browser thanks to a modern web app stack. End-user capabilities such as business glossary lookups are easily integrated into desktop productivity apps (such as Microsoft Office and Outlook email clients) for 'in–document' searching.

SAS Data Management allows you to access your data regardless of where it is stored. You can create data management rules once and then reuse them. This gives you a consistent, repeatable way to improve and integrate data without extra cost. It's easy to get involved in tasks that are not your normal duties as an IT expert. SAS Data Management allows your business users to update data and tweak processes, as well as analyze results. This frees you up to work on other projects. A built-in business glossary, along with SAS and third-party metadata management, and lineage visualization capabilities, keeps everyone on the same page. SAS Data Management technology is fully integrated. This means that you don't have to use a solution that has been thrown together. All components of SAS Data Management technology, from data quality to federation technology, are part and parcel of the same architecture.