Pervasive Analytics Gets Real

Categories: Corporate Partners

Earlier this month I had the pleasure of hosting a webinar with Mike Gualtieri of Forrester, Ron Kasabian of Intel, and our very own Ryan Goldman of Cloudera. During the webinar they discussed the strategy of pervasive analytics and how it is specifically impacting the healthcare, retail, and financial services space. If you weren’t able to catch the live webinar, the recording is now available here.


Unfortunately, we ran into the top of the hour before we could get to all of your questions. So we have taken the time to address the outstanding questions below.

  • Could you please define enterprise data (connected to the 12% statistic)? Only those in databases or content like email, files, text-exchange, videos, etc.?

Enterprise data is any data that enters the organization. If it is stored on your organization’s infrastructure, it is enterprise data.


  • Can you define “SRO” and “PCI-compliant”?

SRO stands for self-regulated organizations. These organizations exercise regulatory authority over an industry to make sure everyone is compliant. Depending on the industry there is a different SRO. PCI stands for payment card industry. To be PCI-compliant you must have measures in place in order to protect credit card information. Depending on the industry and the data you are managing their are other compliance standards to meet (HIPAA, FISMA, etc.).


  • Do you have a case study or research paper for Master Card’s data security implementation that they can share?

Currently we don’t have an in depth case study, however, to learn more about the deployment please visit the press release here. If you would like to learn more about our security offering you can either visit our security webpage or contact us.


  • How does machine learning play a role in a pervasive analytics strategy?

When you get into predictive or prescriptive analytics you need to make sure you have advance analytic techniques, like machine learning, in order to build the best analytics. That being said, once you put a predictive model into production it is important that you have the descriptive analytic report in place to monitor the effectiveness of the model. All of the analysis techniques ranging from simple search, to SQL, to statistical, to machine learning are critical in the process of deploying a pervasive analytics strategy.


  • Would like to hear how important Backup and Disaster Recovery becomes since data continues to build and grow on itself.

Backup and Disaster Recovery is critical for any organization dealing with mission critical data. For more information on how this works within Cloudera, I would recommend taking a look at our documentation here.


  • What is an IoT device?

An IoT device is any device connected to the internet. This can be your phone, your thermostat, your car, etc. By connecting more devices and sensors to the internet we are significantly increasing the amount of data that we are able to collect. This in turn allows organizations to build unique value and analytics on top of this data.


  • With this many contributors/sources in the pool of shared data, how do you manage the metadata / data catalogue and govern how it’s all named and organised?

Cloudera Navigator provides compliant-ready data lineage and governance capabilities for your Cloudera cluster. This allows you to manage all of your data located in Cloudera, including metadata.


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