Keys to Effective Data Visualization

Data visualization is central to big data analytics because the volumes of data involved are beyond the scale that can be effectively manually reviewed by humans. Data visualization provides techniques for quickly viewing, understanding, and identifying patterns in big data that can’t otherwise be reasonably absorbed by humans through detail inspection. Join our discussion and get insights on: Best practices in effective big data visualization. Transformations necessary to enable effective visualization. Visualizing patterns. Data discovery versus descriptive analytics visualization.
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Spotlight

OTHER ON-DEMAND WEBINARS

Activate Your Data Governance Policy

DATAVERSITY

What does it mean to activate a Data Governance policy? Can an inactive policy be effective? Data Governance policies can address different things depending on the organization. Some policies are very general and introduce the awareness of formal Data Governance to the organization. Other policies address specific needs like Data Quality, data documentation, and data protection. Join Bob Seiner and a special guest for this RWDG webinar where they will tackle of the subject of how to develop and deploy an active Data Governance policy. Bob and his guest will provide specific examples of policy components and examples of how organizations use policies to govern their data.
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What is the GDPR and how will it affect the way you handle data?

CASERTA

GDPR affects companies in the United States and Canada. Failure to comply with the GDPR could result in fines of up to $20 million or higher. Join us to learn: - What is the GDPR and severe consequences of non-compliance - What are the eight main GDPR requirements - How ready is your company and what you can do now
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Streaming Data: The Nexus of Cloud-Modernized Analytics

Leveraging business data as a valuable asset is no longer a debated concept – it’s a broadly adopted, competitive undertaking that’s part and parcel to cloud modernization. Today, if there’s one thing that defines competitive advantage in the data analytics arena it’s streaming data platforms. Older approaches employing batch-only analytics, brittle ETL pipelines, and the latency they can introduce just don’t cut it anymore. Cloud-Modernized Analytics are poised to step in and take over.
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How to advance your Data Analytics Maturity: Key steps to take you to the next level

Today’s most successful organisations are utilising data to drive accelerated growth. They are each on a journey towards greater data maturity, increasing the value of their data and deepening their insights as they go. However, the rapid growth of analytic solutions has not successfully transformed every business into a data-driven powerhouse – yet. So how can you ensure the route you take to AI maturity is a successful one? As with any endeavor, your company will face obstacles as you strive to transform into a data-driven organisation. To succeed, it’s important to evaluate where you are today, the challenges that lie ahead, and what exactly “ahead” means for you and your team.
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