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2016 BI Trends

1 January 2016
Dana Neuman- Rotem
A person standing in front of a window with graphs and diagrams

We've advanced another year and entered 2016 with a refreshed sense of anticipation, giving us a prime opportunity to peer into what awaits us in business intelligence.

Looking back on the previous year:

2015 represented a notable breakthrough in the BI landscape, reshaping perspectives and propelling technology forward. Increased exposure in the business construction sphere has raised awareness, nurturing an organizational culture that actively pursues insights and poses questions to improve processes.

So, what does 2016 have in store for us in business intelligence?

  1. Self-service BI is poised for significant growth, granting users access to data analytics tools to craft their metrics and datasets. The demand for self-service data preparation tools and warehouses will surge, democratizing data usage and facilitating swift responses to shifting priorities.

  2. Data analysis will emerge as the universal language of business, steering conversations and exploring fresh insights. This transition isn't limited to experts but encompasses many users. With the rise in awareness of data analytics, user-friendly tools will promote a shared language, fostering critical thinking and making data utilization essential across various roles.

  3. Knowledge truly is power, and merging data control with self-service capabilities will redefine organizational dynamics. The traditional concept of data control solely residing with experts will fade away, empowering all stakeholders to harness professional insights swiftly, thus fostering a culture of exploration and mastery over data.

  4. Speed and functionality will be spotlighted as companies strive for rapid analysis and data relevance. The influx of new players will facilitate data integration with advanced tools and diverse knowledge sources, expediting data amalgamation and analysis.

  5. Advanced analytics will no longer be the exclusive domain of analysts; instead, new platforms will empower non-analyst users to delve into statistical analysis, inquiry, and profound analytical experiences.

  6. Cloud analytics will surge as more companies transition to cloud infrastructure. Adopting cloud analytics will streamline data analysis, and more companies will recognize its effectiveness as a data analysis tool.

In conclusion, 2016 will witness the continued evolution of trends initiated in 2015, gradually establishing them as standard practices across the industry.


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