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Analytic Profiles: Key to Data Monetization

@machinelearnbot

Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business relies on its data. Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc. Companies such as Nielsen, Experian and Acxiom are experts at selling data because that's their business; they have built a business around gathering, aggregating, cleansing, aligning, packaging, selling and supporting data. So instead of focusing on trying to sell your data, you should focus on monetizing the customer, product and operational insights that are gleaned from the data; insights that can be used to optimize key business and operational processes, reduce security and compliance risks, uncover new revenue opportunities, and create a more compelling customer and partner engagement. For organizations seeking to monetize their customer, product and operational insights, the Analytic Profile is indispensible.


The Key to Data Monetization

#artificialintelligence

Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business relies on its data. Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc. Companies such as Nielsen, Experian and Acxiom are experts at selling data because that's their business; they have built a business around gathering, aggregating, cleansing, aligning, packaging, selling and supporting data. So instead of focusing on trying to sell your data, you should focus on monetizing the customer, product and operational insights that are gleaned from the data; insights that can be used to optimize key business and operational processes, reduce security and compliance risks, uncover new revenue opportunities, and create a more compelling customer and partner engagement. For organizations seeking to monetize their customer, product and operational insights, the Analytic Profile is indispensible.


Becoming "Netflix Intelligent": Something Every Company Can Do! – InFocus Blog Dell EMC Services

@machinelearnbot

Makes me feel sad for the rest. Actually, that's a movie ("The Spy that Loved Me") that Netflix recommends for me since I'm a James Bond junkie and Netflix knows that. In fact, Netflix knows a lot about me as it knows a lot about all of its viewers, which is one reason why Netflix is a Wall Street darling and has rewarded its stockholders very well over the past couple of years (see Figure 1). But Netflix isn't doing anything that other organizations cannot do. To replicate Netflix's business success starts with thinking differently about the role of data and analytics in powering the organization's business.


Cohort Analysis in the Age of Digital Twins

#artificialintelligence

To be actionable, Big Data and Data Science must get down to the level of the individual - whether the individual is a customer, physician, patient, teacher, student, coach, athlete, technician, mechanic or engineer. This is the "Power of One." By applying data science to the growing wealth of human purchase, interaction and social engagement data, organizations can capture individual's tendencies, propensities, inclinations, behaviors, patterns, associations, interests, passions, affiliations and relationships that drive business monetization opportunities (see Figure 1). Analytic Profilesprovide a structure for capturing an individual's behaviors and tendencies in a way that facilities the refinement and sharing of these digital assets across multiple business and operational use cases (see Figure 2). But it isn't just humans who develop behavioral tendencies.


Cohort Analysis in the Age of Digital Twins

#artificialintelligence

To be actionable, Big Data and Data Science must get down to the level of the individual - whether the individual is a customer, physician, patient, teacher, student, coach, athlete, technician, mechanic or engineer. This is the "Power of One." By applying data science to the growing wealth of human purchase, interaction and social engagement data, organizations can capture individual's tendencies, propensities, inclinations, behaviors, patterns, associations, interests, passions, affiliations and relationships that drive business monetization opportunities (see Figure 1). Figure 1: Using Analytic Profiles to Capture and Monetize the "Power of One" Analytic Profilesprovide a structure for capturing an individual's behaviors and tendencies in a way that facilities the refinement and sharing of these digital assets across multiple business and operational use cases (see Figure 2). But it isn't just humans who develop behavioral tendencies.