Strategic Imperative – The Enterprise Data Model

With today’s increasingly complex data ecosystems, the Enterprise Data Model (EDM) is a strategic imperative that every organization should adopt. An Enterprise Data Model provides context and consistency for all organizational data assets, as well as a classification framework for data governance. Enterprise modeling is also totally consistent with agile workflows, evolving incrementally to keep pace with changing organizational factors. In this session, IDERA’s Ron Huizenga will discuss the increasing importance of the EDM, how it serves as a framework for all enterprise data assets, and provides a foundation for data governance.
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Spotlight

OTHER ON-DEMAND WEBINARS

The evolution of analytics: From BI to AI

AVORA

Analytics have come a long way – from data warehousing and manual report building to centralised data in the cloud and machine learning driven analytics. Business Intelligence (BI) tools were revolutionary when they arrived: they made analytics more accessible to the wider business users. Their speedy and powerful analytics provided insights that businesses only dreamt off in the past. But as technology advances, so has the analytics world evolved.
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How to Unleash Your Data into Impactful Analytics

Never has data become more important to successfully navigating uncertainty in the real estate market. Moving into the new financial year, what are the ways that businesses should look to leverage their data to make better decisions about the road ahead? In this webinar, MRI Software, joined by Partner Connect Preferred partner insightsoftware will discuss:
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ON DEMAND Q2 WEBINAR PROMOTION: "TOP 5 ELEMENTS OF A WINNING DATA STRATEGY" Organizations with a very effective enterprise data strategies report more profits and better resiliency, according to a recent Enterprise Data Maturity research report. But there’s a catch: less than half of enterprise respondents believe their data str
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Strategies for Fitting a Data Lake into a Modern Data Architecture

McKnight Consulting Group

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.
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