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We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. Please view our announcement and solutions gallery page on Healthcare Analytics for additional customer and solution details.
Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and datalakes for unstructured data.
Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its dataanalytics. The types of dataanalyticsPredictiveanalytics: Predictiveanalytics helps to identify trends, correlations and causation within one or more datasets.
The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predictiveanalytics is the most beneficial, but arguably the most complex type. Predictiveanalytics is the most beneficial, but arguably the most complex type.
Plan on how you can enable your teams to use ML to move from descriptive to prescriptiveanalytics. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your datalake and the data warehouse.
Ethical data management requires travel organizations to go beyond the minimum baseline requirements of data privacy and protection law and focus on building trusting relationships that ensure data trustworthiness. How is dataanalytics used in the travel industry?
Data analysts leverage four key types of analytics in their work: Prescriptiveanalytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.
Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Datalakes don’t offer this nor should they. They have a different sweet spot.
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