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Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Qualitative data benefits: Unlocking understanding.
Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus dataenabled detection of small defects and inspection of all products instead of a sampling inspection. Modern Data Warehousing: Barclays (nominated together with BlueData ). IQVIA is re-envisioning healthcare using a data-driven approach.
On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.
In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud datawarehouse today and predicted what it may look like in the future. Cloud costs are growing prohibitive. We have a jam-packed conference schedule ahead.
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