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5 Best Practices for Embarking on a Cloud Analytics Journey

Datavail

Listening to the previous experiences (both successes and failures) of digital transformation leaders is the best way to prepare your own organization to use analytics in the cloud. Trying to move your entire analytics stack into the cloud, especially for organizations without prior experience, is a recipe for disaster.

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The Elements of VUCA & What They Mean for Data Management in 2020

Datavail

Meanwhile, new business models have shaken up entire industries while former giants grow obsolescent. In times of volatility, the best recourse is to rely on the cold, hard facts—yet too many organizations are challenged by unreliable data that causes conflicting opinions and a splintering of organizational truth. Uncertainty.

Data 52
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Oshkosh puts digital solutions into overdrive

CIO

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 218
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Oshkosh puts digital solutions into overdrive

CIO

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Analytics 218
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Five Steps to Resource Optimization: Any process can be improved.

Strategy Driven

StrategyDriven effective executives, efficient employees Home About The StrategyDriven Organization Our Company Our Contributors Karen K. SAS – Providing organizations with THE POWER TO KNOW ® SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Organizations are making great strides, putting into place the right talent and software. A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place.

Analytics 322