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Top Data and Analytics Posts of 2019

Sisense

Few worlds have a pace of innovation quite like data and analytics. We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives and how-to’s you need to start 2020 off strong. Another blog post about something transforming?

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Going Digital: Pivoting to Virtual Events

Sisense

Countless brands are going digital as they adapt to the challenges facing their rapidly evolving industries. In Digitizing Events , we explore how companies have successfully pivoted to virtual events and experiences while continuing to build important business relationships among industry leaders, professionals, and enthusiasts.

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Finding Your Perfect Pivot Using Data and Analytics

Sisense

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Sisense analytics became a critical tool to enable such a pivot.

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McKesson: Using Big Data to Improve Care and Save Lives

Sisense

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The first wave of digital transformations saw a dramatic decrease in data storage costs. Self-service analytics became easier to use, cheaper, and faster than before. Three new ways to make embedding analytics even easier. On-demand compute resources and MPP cloud data warehouses emerged.