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What’s the Most Challenging Part of AI? The Answer in 2019 May Surprise You

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How to Become Data-Driven with Informatica and Tableau

We all know the problem – businesses today have more data than ever: the total volume of data generated by IoT will reach 600 ZB per year by 2020. Yet many struggle to understand how to leverage their data effectively and scale business value. As a leading data analytics visualization company, Tableau has been on... more

Informatica Named a Leader in Metadata Management by Gartner for the 4th Consecutive Year

Gartner recently published its 2019 Metadata Management Magic Quadrant. This is the fourth year that Gartner has published this annual report and for the fourth year in a row, Informatica has been named a Leader.[1] Over the last few years, metadata management  has rapidly evolved from being an arcane technical discipline to a critical business... more

Using AI for Outcome-Based Customer Experience

Getting from customer satisfaction to winning customers’ hearts and minds. Garbage in… garbage out. As 2020 approaches, the old adage has resurfaced, thanks in large part to four trends that are morphing from talking point into reality: Higher customer expectations Selecting experiences over price and product Explosion of data Increased use of machine learning and... more

Higher Education’s Data-Driven Digital Transformation Focuses on Student Experience

Higher education is in the process of being disrupted. Colleges and universities, both private and public institutions, are facing a decline in student enrollment, revenue shortfalls, and decreases in State funding. At the same time, the business models and assumptions of how to operate and scale these schools for a modern student body are all being questioned.... more

How to go Hadoop-less with Informatica Data Engineering and Databricks

This blog was co-authored by Nauman Fakhar, Director of ISV Solutions at Databricks. Apache Hadoop was born as an on-premises platform. Most of the use cases for early commercial Hadoop vendors focused on on-premises implementations of the open source data analytics platform. Eventually, Hadoop-as-a-Service—meaning Hadoop running in the cloud became increasingly popular. However, the Hadoop-as-a-Service... more