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Top 10 Trends for 2016: Cloud

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Tableau

As the cloud becomes the new normal, it’s increasingly clear that there is no new normal and that change is constant. Cloud technology is set to disrupt the data and analytics landscape in 2016 like never before.

With the escalating need to lower costs and provide greater access, the next 12 months are sure to be a roller coaster of activity and innovation in the cloud space.

Read this whitepaper to learn our predictions for 2016 including:

  • Hardware giants get creative
  • Cloud gets closer to copy/paste
  • Hybrid cloud strategies get easier

Top 8 Trends for 2016: Big Data

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Tableau

This past year was an important one for Big Data. More businesses realized that data, in all forms and sizes, is critical for the best possible decision-making. In support of this, we’ll continue to see the systems that support non-relational or unstructured forms of data, as well as massive data volumes, evolve and mature to operate well inside of Enterprise IT systems. This will enable business users, along with data scientists, to fully realize and unlock the value in big data.

4 Charts Every Social Media Manager Needs

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Tableau

Measuring and monitoring social media impact by simply looking at growth of followers or reach is no longer enough to be successful as a social media manager. Whether you’re evaluating your social media investments or identifying areas of opportunity, understanding these four ways to visualize your social media data will give you a new level of insight:

  • Slope chart for growth of followers/reach
  • Maps for global/regional engagement
  • Scatter plot for reach vs. engagement
  • Boxplots to compare distribution by categories

Top 10 Trends for 2016: Business Intelligence

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Tableau

2015 was a year of significant change in the world of Business Intelligence. More organizations opened up data to their employees and more people came to see data as an important tool to get their work done. Norms about Business Intelligence are evolving, and as they do, leading to wholesale cultural change at some workplaces. This change is driven non only by fast-moving technology, but also by new techniques to get value from data.

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