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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

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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. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Once again, thank you to the global team of 25 judges who selected the Data Impact Award finalists: Tony Baer , Principal Analyst, Ovum, @TonyBaer. Mike Barlow , Managing Partner, Cumulus Partners. Bozman , VP and Principal Analyst, Hurwitz & Associates.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Consequently, similar to my career progression, data scientists began to develop that deeper appreciation of the importance of system requirements.

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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

The introduction of the Cloudera data platform made advanced customer analytics possible. Telkomsel could better predict customer purchases and churn, personalize through recommendation engines, and provide near real-time customer care support. . Some use cases are already in production and generating revenue.

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Altus SDX: Shared services for cloud-based analytics

Cloudera

Altus SDX enables companies to more easily build and deploy high-value applications for customer analytics, IoT, cyber-security, and more. This puts the burden on the users to determine how to unify complex workflows. Nimbly run many distinct applications against shared data.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

For example, CDF has been used to implement enterprise-grade applications such as ingestion and processing of IoT data for customer analytics, real-time cybersecurity analytics, etc. The versatility of the CDF platform and broader integration with CDP enable complex use cases that extend beyond the Data Mesh.

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