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Traditional ways of looking at data environments don’t work.
There are too many moving pieces, technologies, and data silos. Any digital initiative requires quality, curated data that is readily consumable at the speed of business.
How can you ensure your data ecosystem has a strong and flexible foundation to support the demand for analytical insights – even when faced with sudden shifts in priorities like we are seeing now? Join us to learn the essential considerations for your data ecosystem.
You’ll see how to choose what works for your organization and build a business case for it:
- Evaluate how data is being stored and leveraged and any potential gaps in access (applications, data warehouses, data lakes, cloud, etc.)
- Avoid roadblocks when creating an end-to-end data ecosystem
- Articulate how different teams work across the organization to develop a data platform and bring the data to life in support of the business
- Make the right decisions about on-premise, cloud, and/or hybrid cloud infrastructure with regard to the data ecosystem
Don’t miss this opportunity to hear a data and analytics expert show you how to move to the innovation fast lane, by shifting how you manage your data.
Lyndsay Wise is the Director of Market Intelligence, responsible for researching the impact of emerging technologies and market trends on our product offerings and customers to ensure proactive market assessment. Previous to this roll, she joined Information Builders as Director of Professional Services Division for North America, where she helped customers align their business strategy for successful data management. Before joining Information Builders, Lyndsay worked as an industry analyst for 12 years, founding WiseAnalytics in 2007 and covered research areas related to data visualization, analytics, BI in the cloud, and implementation strategies for mid-market organizations.
Vincent leads Information Builders Global Strategic Services team that support Analytics, Data Integration and Data Governance. He brings almost twenty years of experience in the Data Integration and Data Management space, including Data Quality and Master Data Management.