John Santaferraro

John is the research director for analytics, business intelligence, and data management at EMA. His 23 years of experience in the data and analytics market span everything from startups to executive positions at Fortune 50 companies. His deep understanding of the industry comes from years of leadership in product and marketing organizations, along with multiple big data imagineering efforts for finance, communications, retail, manufacturing, healthcare, events, oil and gas, and utilities. John's coverage area also includes data integration, data discovery, metadata management, artificial intelligence, machine learning, data science, digital marketing, and innovation.

Recent Posts

Salesforce Honors Customers, Boosts Sales Productivity: Gleanings from an Industry Analyst Observer

By John Santaferraro on Oct 9, 2018 12:44:15 PM

I could spend pages and days talking all about the new technology that was released at Dreamforce 2018, but I am going to take the higher road and discuss what Dreamforce 2018 means to customer organizations. Salesforce demonstrated that it cares about its customers and is committed to increasing the productivity of customer-facing teams around the world. Of course, if customer-facing teams are more productive, that will mean increased revenue, higher customer satisfaction, and a palpable competitive advantage.

The C-Suite Should see Gains in Productivity and Profitability

Many sales leaders complain about the challenge of getting sales representatives to enter information into their sales automation systems. The results are incomplete information and the inability to properly forecast and manage sales teams for success. The introduction of Einstein Voice allows sales teams to interact with Salesforce products over their morning coffee or handsfree on their drive home, freeing them to do more of what they are paid to do: sell.

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EMA Perspectives – Informatica Makes Sparks Fly in the Cloud

By John Santaferraro on Sep 18, 2018 11:54:08 AM

On September 12, 2018, at Strata NYC, Informatica announced a data management solution for Apache Spark-based cloud environments, including Google Cloud Dataproc, Qubole, and Azure Databricks. Touting new advancements in CLAIRE™, a metadata intelligence technology powered by artificial intelligence (AI) and machine learning, this new release is targeted at increasing the efficiency and reach of data management organizations. To expand efficiency, Informatica is releasing more than 50 new algorithms and functions for automated data discovery and preparation, as well as machine learning focused on industrializing data operations.

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