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Analytics Teams: Own The Business Problem, Not An Infrastructure

ZDNet

Analytics teams have devoted the last few decades building large and elaborate infrastructures that attempt to gather and harmonize essential business data. These systems are critically important to business. Yet a Forrester study found that 32% of business people felt their enterprise BI applications were too cumbersome to use, 31% have to wait days or weeks for an average BI request, and 45% said the systems didn't contain the data they needed. The study found that on average, 45% of the data business people use now resides outside of the enterprise BI environments. The result is that approximately 63% of business decision-makers are using an equal amount or more of homegrown versus enterprise BI applications.


Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics (FT Press Analytics): Nathaniel Lin: 9780133481501: Amazon.com: Books

@machinelearnbot

Easier to read and understand than expected (coming from someone who doesn't have a data analytics background). The author uses examples of major companies to help understand how businesses are applying data analytics.


Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics (FT Press Analytics): Nathaniel Lin: 9780133481501: Amazon.com: Books

@machinelearnbot

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Help on learning Business Analytics

@machinelearnbot

Hi, I am a MBA with 10 years experience primarily in consulting and strategy. My last stint for my company was in BI and descriptive analytics and I was hooked onto learning more. Given my background and my interest, I am looking to be the analytics-business liason not the core data-scientist, but someone who understands enough of analytics and business.


Your Career: NYU Stern MS in Business Analytics

@machinelearnbot

The NYU Stern Master of Science in Business Analyticsis an advanced business degree, which teaches experienced professionals how to understand the role of evidence-based data in decision-making and to leverage data as a valuable and predictive strategic asset. Those interested in the program should have a minimum of 5 years of professional experience and may come from a broad scope of sectors including financial services, communications, consulting, health and pharmaceuticals, manufacturing, energy, IT and nonprofit.