SAP S/4HANA certification for Safyr ensures delivery of core SAP metadata for critical data governance and analytics programs
Master Data Management partner, Silwood Technology has achieved SAP® certification for its Safyr® software. The SAP Integration and Certification Center (SAP ICC) has certified that the integration software for its product name, and version number integrates with RISE with SAP S/4HANA® Cloud using standard integration technologies. This milestone underscores Silwood Technology's commitment to empowering organizations by facilitating the extraction, exploration, curation, and utilization of both business and technical metadata from SAP S/4HANA applications.
"The integration enables robust support for data governance, data cataloguing, analytics, and data migration endeavours for SAP S/4HANA users," said Gary Allemann, MD at Master Data Management. " Silwood continues to enjoy escalating demand among data engineers and analysts who seek access to and leverage the extensive metadata within intricate ERP applications, not only from SAP but also from other vendors"
Data architects and other professionals in the data landscape utilize Safyr to bolster confidence in data and metadata sourced from SAP S/4HANA applications, elevating the standards in data governance and analytics projects.
Tangible benefits experienced by our Safyr users include substantial reductions in time and cost associated with metadata discovery and analysis within the targeted ERP or CRM applications licenced, while the burdens on platform technical specialists.
Key functionalities of Safyr encompass:
- Extraction of comprehensive business and technical metadata, including customisations, from SAP S/4HANA applications.
- Provision of an extensive repository housing tables, attributes, relationships, and application hierarchies derived from the extracted metadata.
- A comprehensive suite of metadata search, analysis, filtering, and curation capabilities.
- Seamless integrations enabling the export of results to enterprise data governance and catalogue solutions, data modelling tools, and industry-standard formats.
Master Data Management partner, Precisely, has achieved Amazon Web Services (AWS) Data and Analytics Competency status. The designation recognizes the critical role of data integrity in fuelling advanced analytics, machine learning, and artificial intelligence with trustworthy outcomes
This prestigious recognition solidifies Precisely's position for its exceptional proficiency in empowering clients to instil absolute trust in their data repository and processing mechanisms within diverse AWS services. This milestone closely follows the recent announcement of the Precisely Data Integrity Suite securing the Amazon Redshift Service Ready certification, unveiled at AWS re:Invent 2023, further cementing the burgeoning collaboration between the two enterprises.
Attaining the AWS Data and Analytics Competency distinctly sets Precisely apart as a distinguished member of the AWS Partner Network (APN)providing specialized software tailored to facilitate the seamless adoption, development, and deployment of intricate projects on the AWS infrastructure. Earning this accolade requires an in-depth mastery of AWS platforms, ensuring the seamless delivery of solutions within the AWS ecosystem.
The Precisely Data Integrity Suite stands as a global enabler, equipping organizations worldwide with the essential tools to ensure precision, uniformity, and location-based context in their data hosted on AWS. Leveraging the comprehensive suite of data integrity services, clients gain access to invaluable data from both modern and legacy systems in near real-time, proactively identify anomalies, ensure data quality, unveil latent connections, and enhance data with contextual enrichment.
"Businesses leveraging AWS to deliver advanced analytics and artificial intelligence programs need a seamless solution to deliver trusted data quickly and reliably," said Gary Allemann, MD at Master Data Management. "Precisely's approach focuses on agility and ease of use, without compromising scalability, with the new accreditation speaking to the seamless deployment for AWS users."
AWS remains a pillar of scalable, adaptable, and cost-efficient solutions, catering from fledgling startups to global conglomerates. To facilitate the seamless assimilation and deployment of these solutions, AWS has established the AWS Competency Program, aiding customers in identifying AWS Partners renowned for their extensive industry acumen and specialized expertise.
Masterdata partner, MANTA, releases Manta SaaS, empowering customers with unparalleled code-level data lineage within a hosted cloud environment. With Release 42, Manta responds to evolving customer requirements, offering comprehensive solutions adaptable to both on-premises and cloud settings. This update delivers intuitive automation, expanded customization, and amplified value for data engineers, architects, analysts, and business users.
Data lineage, a critical safeguard for data quality, identifies and tracks data changes and potential flow disruptions, effectively preventing long-term issues that affect data trust. Release 42 elevates this by enhancing user experience, streamlining automated processes, and fortifying intelligence capabilities, thereby optimizing workflows and offering prescriptive insights. Moreover, it broadens platform compatibility, including robust code-level scanning capabilities for Databricks.
Manta SaaS: Unmatched Cloud Flexibility with Complete Functionality
Customers now have the choice between an on-premises Manta experience or the new Manta SaaS, enjoying the same robust platform in a fully hosted cloud environment. The Manta SaaS solution offers enhanced flexibility, catering to a wider array of businesses, aligning with distinct use cases and requirements, thereby reducing overall ownership costs.
Intuitive Automation & Versatile Connectivity
Manta's Release 42 unlocks myriad possibilities for organizations to extract maximum value from their data lineage through automation-driven intelligence, augmented connectivity options, and system-level visualizations:
Manta Intelligence:
- Automated Cross-System Lineage Mapping: Identifies connections between systems within a data landscape, minimizing the need for manual lineage stitching by data stewards and engineers.
- Deduced Lineage: Illuminates system interactions, providing a comprehensive high-level lineage overview without exhaustive source scanning.
Databricks UC Scanner:
Expands lineage insights by scanning the Databricks environment, integrating and analyzing data from diverse sources. This integration is pivotal for leveraging Databricks' ML/AI capabilities effectively.
Application View:
Bridges the technical-business divide by visualizing top-level applications, systems, and integrations, crafting an overarching architectural map to showcase repository systems and interactions.
These updated features foster stronger technical and business alignment, presenting a comprehensive data lineage view that provides valuable insights for all stakeholders.
"Manta's latest cloud capabilities, advanced customization, and top-tier visualizations make the platform more agile than ever," said Gary Allemann, MD of Master Data Management. "This release reflects MANTA's commitment to meeting evolving customer needs with value, irrespective of where they are in their data lineage journey."
OpenManta Enables End-to-End Lineage
OpenManta Designer offers a user-friendly graphical interface (GUI) for creating lineage, complementing Manta's scanners. To streamline end-to-end lineage implementation, OpenManta Designer facilitates faster integration of custom assets. Moreover, it enables manual data lineage creation through a drag-and-drop interface or spreadsheet, empowering users to establish connections between related items effortlessly.
For comprehensive information on Manta's Release 42, visit manta.io.
New Data Quality Specialist course based on DMBoK Framework provides essential knowledge for anyone with data quality responsibilities, as well as those preparing for CDMP certification.
Master Data Management partner. eLearningCurve, has announced a new course, Data Quality Specialist, extending the Data Quality curriculum. The online course, delivered by CDMP Master-Level instructor, Michele Valentini, is geared towards business and IT professionals having positions, responsibilities, or a vested interest in the realm of data quality, as well as those seeking a professional CIMP or CDMP certification in data quality management.
The Data Quality Specialist course, firmly rooted in DAMA International’s Data Management Body of Knowledge (DMBOK) framework, offers a comprehensive exploration of Data Quality concepts and practices. Commencing with an in-depth overview of the DMBOK Framework, the course strategically places data quality as a fundamental discipline within the realm of data management. It meticulously delves into an array of pivotal aspects including concepts, tools, techniques, and operational methodologies governing the domain of data quality management.
Enabling CIMP or CDMP certification
This course is an invaluable resource, catering to individuals entrusted with data quality responsibilities and those actively preparing for data quality certification. The CDMP credential ensures a grasp of universally acknowledged data quality concepts and practices outlined within the Data Management Body of Knowledge (DMBOK). On the other hand, CIMP certification signifies the culmination of extensive study and the acquisition of requisite knowledge and skills essential for becoming a highly proficient data quality practitioner.
You will learn:
- Relevance, benefits, and challenges of Data Quality
- How to define Data Quality metrics and indicators
- How to setup relevant tools to support your data quality management function
- How to build a strategy to improve and maintain your data quality
The online course comprises just under 4 hours of online instruction, with students able to repeat components if required. Students can complete the course as a stand-alone package, or add it as an option in the 5-course CIMP certification curriculum. CDMP examinations are separately purchased and administered via DAMA.
Drexel University award recognizes data integrity leader, Precisely, for building a culture of trusted data - powered by their own market-leading solutions
Master Data Management partner, Precisely, has been recognised as an Analytics 50 honoree by Drexel University's LeBow College of Business. This accolade commends the innovative application of their own data integrity solutions amid a period of significant digital transformation, marked by substantial growth and merger and acquisition (M&A) endeavours.
Under the leadership of forward-thinking Chief Data and Information Officer, Amy O'Connor, the project team successfully instilled a culture of data integrity across all facets of the organization. In just nine months, Precisely seamlessly migrated 228 datasets across eight lines of business, implementing robust data standardization processes for sustained data consistency. This effort led to an impressive 98% improvement in data quality.
Diana Jones, Executive Director of the Center for Business Analytics at LeBow, noted, "With our latest research showing that 70% of organizations with low levels of trust in their data point to data quality as the biggest challenge to making confident decisions, it’s remarkable to see the speed and scale at which Precisely were able to overcome their data challenges by relying on their own solutions."
The Drexel LeBow Analytics 50 is a prestigious national recognition program that honours organizations at the forefront of analytics-driven problem-solving. Honorees are selected by a panel of researchers and practitioners who evaluate nominations based on the complexity of the business challenge, the analytics solution implemented, and the solution’s business impact on the organization. These honorees effectively bridge academia and industry, showcase best practices, and demonstrate the profound impact of data-driven strategies on their businesses.
“We’re very pleased to be able to showcase this example of data integrity innovation through our Drexel LeBow Analytics 50 program," concludes Jones.
Amy O'Connor emphasized Precisely's commitment to data integrity: "As the global leader in data integrity we have a responsibility to demonstrate best practice in achieving trusted data. Whether it’s our own business or one of our 12,000 customers worldwide, we’re proud to power organisations with the accurate, consistent, and contextual data needed to make confident decisions and
Explore the complete Drexel LeBow Analytics 50 list or delve deeper into Precisely's comprehensive range of data integrity solutions