The Agile Monkey
MARCH 14, 2023
Why making the extra investment on development time and data storage? It’s not the same to say “the order has been updated” as saying “the order has been paid,” the second statement is way more relevant from a business analytics point of view. Do you need help adopting event-sourcing or AI models at your organization?
Cloudera
JANUARY 14, 2021
Maximizing Supply Chain Agility through the “Last Mile” Commitment. In my earlier blogs, we demonstrated some pretty remarkable benefits from the use cases associated with improving customer insight (producing relevant offer response time) or improving supply chain agility (saving nearly $21m/year in product delivery costs).
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O'Reilly Media - Data
JULY 23, 2018
Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Executive Briefing: Agile for Data Science teams. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. "Machine Learning in the enterprise". Case studies.
CTOvision
JULY 31, 2013
It provides storage and the source for business analytics. It also allows processing for data preparation and advanced analytics. Peter and Platfora believe that the HDR eliminates data silos, reduces costs, and makes business analytics agile.
Cloudera
OCTOBER 21, 2020
The cloud can store structured and unstructured data, flexing to allow new types of data, processes, and models based on real-time analytics to be spun up and scaled faster than ever before. Unrestricted by storage or processing power, the cloud is agile enough to support new business models.
Actian
AUGUST 19, 2019
Enable business analytics and decision-making. IoT devices aren’t highly sophisticated, don’t contain much internal storage and typically aren’t capable of complex data processing. Leverage cloud-scale compute to process the data. As you might imagine, these reasons are not entirely independent.
Cloudera
OCTOBER 28, 2020
YES BANK partnered with Cloudera to build a unified on-premise data management platform that provides speed, agility, flexibility, and storage capacity to process unstructured data and run real-time analytics while heightening the data security necessary to meet high governance standards and stringent data security regulations.
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