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Sisense Q1 2021 Release: Infuse Customized Intelligence at Scale

Sisense

The Sisense Q1 2021 release is focused on bringing customized analytics to each person. Rapid, code-free customization with Sisense Themes. Simplify the way you deliver a fully personalized analytics look and feel to each of your customers and end users using new Sisense Themes.

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Announcing the 2021 Data Impact Awards

Cloudera

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

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Azure Marketplace features Cloudera Customer 360 offering

Cloudera

Individually, these companies deliver great value to customers, so imagine the business outcomes and customer benefits made possible when two or more of these companies develop a joint offering. A recently-launched solution serves as an example of the power of partnerships.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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Altus SDX: Shared services for cloud-based analytics

Cloudera

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. Nimbly run many distinct applications against shared data.