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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Your Chance: Want to build professional CRM reports & dashboards? Your Chance: Want to build professional CRM reports & dashboards?

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Predictive analytics tools blend artificial intelligence and business reporting. The results appear in a collection of dashboards or automated graphical visualizations. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation.

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

For example, KPMG reports that 51% of technology executives have not seen an increase in performance or profitability from digital transformation investments. Unfortunately, the business impact of many digital transformations continues to fall short of expectations. This dip delays when the business can start realizing the value delivered.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. Harvard Business Review Analytics Services Pulse Report for Sisense, March 2021. Only 23% can.

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Bring light to the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Risk management: Manage risk and compliance to business standards, through automated facts and workflow management Identify, manage, monitor and report risks at scale.

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What is a DataOps Engineer?

DataKitchen

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. We find it helpful to think of data operations as a factory.

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