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The 2017 Summit was larger and even more productive than the Summit of 2016, with more than 650 delegates in attendance. The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. Cloud BI: Path to Agility or Destined for Disaster?
The 2017 Summit was larger and even more productive than the Summit of 2016, with more than 650 delegates in attendance. The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. Cloud BI: Path to Agility or Destined for Disaster?
The 2017 Summit was larger and even more productive than the Summit of 2016, with more than 650 delegates in attendance. The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. Cloud BI: Path to Agility or Destined for Disaster? Led by Alys Woodward.
Microsoft also releases Power BI, a datavisualization and business intelligence tool. 2016: Oracle launches with competencies across compute, storage, and networking. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.
A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart datavisualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.
A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart datavisualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.
A BI tool that supports mobile, self-serve data preparation , plug n’ play predictive analysis and smart datavisualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize.
The advent of tools like self-serve data preparation , plug n’ play predictive analysis and smart datavisualization provide support for business users to leverage sophisticated tools and algorithms in an easy-to-use environment and improve dataagility and timeliness.
The advent of tools like self-serve data preparation , plug n’ play predictive analysis and smart datavisualization provide support for business users to leverage sophisticated tools and algorithms in an easy-to-use environment and improve dataagility and timeliness.
The advent of tools like self-serve data preparation , plug n’ play predictive analysis and smart datavisualization provide support for business users to leverage sophisticated tools and algorithms in an easy-to-use environment and improve dataagility and timeliness. About Kartik Patel.
With widely used versions like Crystal Reports 2016 and its server editions anticipating losing support on December 31, 2027, and Crystal Reports 2020 scheduled to end support by 2026, you’re left with limited time to determine how to move forward without disruptions to your business intelligence workflows.
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