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How to Create & Verify Your Google My Business Account

#artificialintelligence

Your free Google business listing (known as your Business Profile) can do more than you think. When properly optimized, it showcases your best features and makes it easy for consumers to discover, learn about, and contact your business. But in order to properly optimize your Business Profile, you need access to it, and in order to access it, you need to verify with Google that you are the rightful owner. While it seems as though it should be as simple as "step one create, step two claim, and step three verify," the process is neither that simple nor that linear--which, if you're reading this post, you have already figured out. That's because it requires three different Google accounts and two different Google platforms, all of which have very similar names.


Tips for Data Scientists @CloudExpo #BigData #IoT #ML #AI #DataScience

#artificialintelligence

I spend a lot of time helping organizations to "think like a data scientist." My book "Big Data MBA: Driving Business Strategies with Data Science" has several chapters devoted to helping business leaders to embrace the power of data scientist thinking. My Big Data MBA class at the University of San Francisco School of Management focuses on teaching tomorrow's business executives the power of analytics and data science to optimize key business processes, uncover new monetization opportunities and create a more compelling, engaging customer and channel engagement. However in working with our data science teams, I have come to realize that we also need to address the other side of the data science equation; that we need to teach the data scientists in order for them to think like business executives. If the data science team cannot present the analytic results in a way that is relevant and meaningful to the business (so that it is clear what actions the business leaders need to take), then why bother.


Top 10 Business Analytics Tools Used by Companies Today

#artificialintelligence

From SLM (Service Life-Cycle Management) to SCM (Supply Chain Management) and ERP (Enterprise Resource Planning) to CRM (Customer Relationship Management), the volume of data that these cloud applications generate today is overwhelming, and it is accelerating at a phenomenal rate. To help organizations extract actionable insights from the data they generate, recognized technology companies and startups around the world are creating business analysis tools and techniques that deliver seamless analytics solutions. Packed with powerful features, today's state-of-the-art analytical tools for business facilitate efficient data collection, analysis, and presentation in real-time, empowering enterprises to identify trends/patterns in vast datasets and create new business analytics models. The tools used by business analysts include a variety of application software that captures quantitative and qualitative data from different business systems and incorporates it into a repository. That way, analysts can review and analyze the data to enable smarter decision-making. These software applications for business analytics provide organizations with a holistic overview of key insights that improve efficiency, productivity, and profitability.


Business Analytics and Intelligence Compared

@machinelearnbot

Business analytics and business intelligence are two different notions, but only few people understand the difference. Interestingly, even people who have worked in the business industry struggle with this particular topic or have various different answers when someone asks the question'What is the difference between business analytics and business intelligence?'


Business Analytics and Intelligence Compared

@machinelearnbot

Business analytics and business intelligence are two different notions, but only few people understand the difference. Interestingly, even people who have worked in the business industry struggle with this particular topic or have various different answers when someone asks the question'What is the difference between business analytics and business intelligence?' Some people define business analytics as an umbrella term and place intelligence as one of its parts, together with data warehousing, enterprise performance management, risk, compliance and analytic applications. Meanwhile, others use the term business analytics as a level of domain knowledge related to predictive or statistical analytics. Business intelligence can be defined as the necessity to get the most out of a particular information.