Nov 9 ADV Webinar: Data Quality: The ROI of Adding Intelligence to Data

Cloud data migration is a top priority as organizations seek the advantages of cloud computing’s inherent scalability, elasticity, and flexibility, as well as the promise of lower costs. However, many organizations find themselves beset by disparate data and architecture challenges. They have multiple cloud data warehouses for structured data and separate data lakes for semi- and unstructured data, including real-time streams. Data scientists and data-savvy analysts cannot easily access all the data they need for predictive models and machine learning algorithms. Business users are dissatisfied with BI dashboards that are old and offer limited data visibility and exploration.

Another day, another mind-blowing show of capabilities from the graph database market. Reports feature benchmarks running one trillion relationships where throughput and latency improve linearly with the number of shards that it’s distributed across. There are also demonstrations of a massive knowledge graph that consists of materialized and virtual graphs that span multiple cloud platforms.

Accurate and complete customer data is critical for unlocking business benefits in every area of the enterprise. Every single functional area of business benefits from a trustworthy source of data—marketing personalization, customer service, business analysis, financial forecasting, and crisper insights for the C-suite.

In this webinar, we’ll look at some Data Architecture practices that have emerged in the past few years and are being consciously worked into many enterprise data programs. These are keepers and it will be required that we move towards them, so it’s best to mindfully work them into the environment.