Enterprise Data Management Tools

Oracle Enterprise Data Management. Adapt and respond to change faster and more effectively by managing your master data, whether migrating an application to the cloud; managing the effects of mergers and acquisitions; or reconciling metadata differences across business functions and applications.

Enterprise data management tools. Kinvey Data Pipeline provides end to end data and auth management from device to source enterprise systems. Engineered to protect, virtualize and synchronize data and authentication layers from disparate enterprise systems for use in your apps. To choose our Top 10 enterprise management tools, we divided the space into functional areas. Together, they represent the critical aspects of any truly comprehensive management infrastructure. We set out to pick systems that can scale in an enterprise environment and have the features needed to scale with a dynamic, growing organization. Enterprise data management catalogs both internal and external assets. Master data management is similar to enterprise data management, but it involves creating a single view of your data in a master file or master record. This master file will define the essentials you need for a given process. Think of this like a requirements document that. Enterprise Management Systems (EMS), sometimes just known as Enterprise Systems (ES) are enterprise-scale application software packages which address the different software needs of large.

Analysis-ready data is essential for visualization and modeling. Esri has tools to prepare data for mapping and analysis that range from simple to complex, which can help you answer your organization's most important questions. Our GIS data management capabilities empower you to visualize, enrich, and model your data. Data quality, master data management, metadata management, data warehousing architecture and data integration: These are all pieces of the data management puzzle, but rare is the enterprise that has assembled these pieces into a cohesive and coherent picture. Get it right and you can count on clean and consistent data from transaction systems and reliable insight from business intelligence. Enterprise Data Management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication.EDM is focused on the creation of accurate, consistent and transparent content. EDM emphasizes data precision, granularity and meaning and is concerned with how the content is integrated into business. HPCC Systems Big Data is a platform for manipulating, transforming, querying and data warehousing your Big Data and is an alternative to Hadoop. It uses the Thor data refinery, Roxie data query/delivery engine and Enterprise Control Language (ECL) as an alternative to Apache Pig. (ECL is claimed to be 4.45 times faster than Pig on average.)

1. Profisee. Profisee is a next generation master data management company with a mission of innovating data management strategies by providing an easy to use, easy to deploy enterprise MDM platform. The Profisee Platform is a full featured enterprise master data management solution designed to provide the lowest total cost of ownership of any competitive solution, without sacrificing on. Powerful tools for end-to-end data lineage, spotting sensitive data, and understanding usage and access behavior. ASG Technologies. Auto-discovery, cataloging, lineage, reference data management and governance for diverse enterprise data. Offers a secure portal for managing metadata. Enterprise software, also known as enterprise application software (EAS), is computer software used to satisfy the needs of an organization rather than individual users. Such organizations include businesses, schools, interest-based user groups, clubs, charities, and governments. Enterprise software is an integral part of a (computer-based) information system; a collection of such software is. Newton Investment Management needed a data management platform to manage over 600 indices across its systems to satisfy a dynamic investment team. EDM from IHS Markit satisfied a key remit to empower users to manage, manipulate and distribute cleansed audited data to core investment management systems The firm has used EDM as the foundation for.

Enterprise data management (EDM) refers to a set of processes, practices, and activities focused on data accuracy, quality, security, availability, and good governance. Enterprise data takes many forms. Enterprise data is the totality of the digital information flowing through an organization. Master Data Management – Data integration methods are used in Master Data Management (MDM) and there can be some confusion involving these terminologies. MDM refers to tools or applications used as part of an enterprise data management strategy to help create master versions of data and provide a consistent view of scattered data. Infor Dynamic Enterprise Performance Management (Infor d/EPM) delivers business and financial performance management applications with support tools that allow you to centralize your data, build plans tailored to your business, forecast more accurately, analyze your business more effectively—and ultimately gain greater insight, so you can. Description: Oracle Enterprise Metadata Management is a metadata management platform that can harvest and catalog metadata from any provider. The product allows for interactive searching and browsing of the metadata as well as providing data lineage, impact analysis, semantic definition and semantic usage analysis for any metadata asset within.

Lotame is an industry-leading data management platform that gives users information from sources such as email, social websites, mobile apps, CRM tools, campaign data, blogs and more. In addition to the standard features, users also have access to a manual and fully automated suite of optimisation tools. Data Management Software. Data management is a broad discipline, with many different focuses and tools to manage these focuses. Data Management Software (DMS) merges records from several databases, extracts, filters, summarizes the data without loss of integrity and interference. Master data management: Analyzing existing data management processes and developing best practices for handling data inside and outside the organization. Data quality management : Creating tools and processes to assess, manage, control and improve the accuracy, completeness, validity and quality of data across the enterprise. Leaders choose Informatica for the unparalleled breadth of our enterprise-grade data management solutions. Cloud Analytics Modernization. Consolidating or modernizing your on-premises data warehouse or lake in the cloud? Cloud-native data integration, quality, and metadata management deliver trusted insights at cloud scale..

SAS data management comes with a number of fantastic tools for data governance, synchronisation, migration, ETL, and ELT. There are a number of strong metadata management capabilities included to help with maintaining accurate data, such as mapping, data lineage tools, and more.