How Enterprises Are Leveraging Data & Analytics to Deliver 2X More Value from Their Shared Services Centers

As technology adoption increases exponentially, organizations are challenged by the proliferation of data that the technology generates. Increasingly, Shared Services  Global In-house Centers (GICs) are leading their organizations’ efforts to tame data and derive key insights from it. Based on our recent Pinnacle Model research on data & analytics maturity in SSCs/GICs, this webinar will show executives how they can build capabilities in their SSCs GICs to turn this challenge into a strategic asset, generating value and enhancing service delivery
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OTHER ON-DEMAND WEBINARS

Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality

With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
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Empowering Local Leaders with Near Real-Time Data and Analytics

Decisions made at the national and state level are affecting local communities all around the country. But these communities vary greatly. How do local leaders take control to ensure the right decisions are made for their communities? In this Webinar Series, Qlik and IPC Global will demonstrate how near real-time data and analytics can empower local leaders at K-12 and higher education institutions, and state and local government agencies to support decision making and improve service delivery.
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SAP HANA : Future of Data Warehousing and Bigdata Analytics

SAP HANA

Webinar will discuss about: History and present of SAP Business Model. Overview of Technology underlying SAP HANA (In Memory Computing) , Bigdata, Space for Analytics. SAP HANA Modelling Environment (Architecture + Setting up Environment). Data warehousing Models (Star schema + concept of master data). Basic Graphical Views (attribute, analytical and calculation Views). Data base operation in Hana tool.
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Modernizing Metadata

tdwi.org

Metadata is more relevant than ever. It continues to be a powerful enabler for high-value data-driven business activities across operations, analytics, and compliance. However, to maintain this relevance, metadata management must deal with the increasing complexity of today’s business use cases and hybrid data environments. Metadata management is notoriously manual which makes it slow in development and error-prone in maintenance. Metadata management needs better tool automation. Metadata management is typically siloed due to users managing metadata per tool or platform. Metadata management needs a unified solution that is suited to sharing, reuse, governance, and comprehensive views of distributed data.
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