Content related to Semantic Layer Strategy for Linked Data Investigations
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading
Data Governance Program Starter Kit
A successful data governance program must align with organizational priorities, ensure data consistency, and provide clear accountability. However, many organizations face challenges such as undefined roles, lack of cross-functional collaboration, and inconsistent processes, which can impede governance efforts. For Data … Continue reading
Data Catalog Expansion Workshop
A data catalog is a centralized repository that organizes, manages, and indexes an organization’s data assets and related metadata, making it easier for users to discover, access, and understand the data available to them. It serves as a foundation for … Continue reading
Data Governance Maturity Assessment
An organization’s data governance maturity is directly correlated with its probability of success when launching modern data initiatives aimed at increasing data reliability, ownership, compliance, usability, and scalability. Substandard data governance can counteract these efforts over time, resulting in failed … Continue reading
Data Product Accelerator
Data products are reusable data resources that collect and enrich data in order to answer specific questions about a use case and also provide structured access through APIs or visualization tools. As organizations strive to extract more value from their … Continue reading
A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
Out of Many, One: Building a Semantic Layer to Tear Down Knowledge Silos
Guillermo Galdamez, Principal Consultant, and Nina Spoelker, Consultant, jointly delivered a presentation titled ‘Out of Many, One: Building a Semantic Layer to Tear Down Silos’ at the 2024 edition of LavaCon. Guillermo and Nina provided practical, proven guidance on how … Continue reading
How Data Becomes Dark
Are you navigating through the complexities of managing your enterprise’s unstructured data? This infographic shows the journey from data creation to its eventual transformation into ‘dark data’—data that remains underutilized and potentially exposes organizations to risks. We break down the … Continue reading
A Semantic Layer Approach to Enterprise Knowledge Management and Information Findability
Within an organization or enterprise, multiple knowledge organization systems tend to be siloed and used for different purposes in different systems (the website, the intranet, technical documentation publishing, the product catalog, customer support articles, training materials, etc.). If this disparate … Continue reading
Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality
Enterprise Knowledge’s Maryam Nozari, Senior Data Scientist, and Urmi Majumder, Principal Data Architecture Consultant, presented a talk on “Mastering the Dark Data Challenge: Harnessing AI for Enhanced Data Governance and Quality” at the Data Governance & Information Quality Conference (DGIQ) … Continue reading