Gartner, the world leader in technology research and advice, estimates that the worldwide Business Intelligence and Analytics market will reach US$ 16.9 billion in 2016, an increase of 5.2% over 2015.
The Business Intelligence (BI) and Analytics market is in the final stages of consecutive years of an IT-led shift from systems of record reporting to business-led self-service analytics.
As a result, the modern BI and Analytics (BI&A) platform has emerged to meet new organizational requirements for accessibility, agility, and deeper analytics.
“The move to the modern BI and Analytics platform has reached an inflection point. Organizations must transition to modern, agile, fast and easy-to-use BI platforms to create business value with insights from different data sources," said Ian Bertram, vice president of Management at Gartner.
The Democratization of Analytics
As Analytics becomes more strategic for most companies, business and processes are analytic and every person is a user of the available platforms. “Marketing directors can no longer just be experts in branding and ad publishing. They must also be experts in customer analytics. The same is true for heads of human resources, supply chain and senior finance positions. in most industries", says Bertram.
To respond to the time to insight required by today's competitive business environment, many organizations want to democratize analytics capabilities through self-service.
Defining Modern BI and Analytics Platform
The most significant difference between a modern BI and Analytics platform compared to a traditional centralized IT report is the amount of upfront modeling required, as well as the skills needed to build analytical content. Creating content through IT-centric communication platforms starts with IT consolidating and modeling the data. On the other hand, a modern BI and Analytics platform supports IT-enabled analytics content development.
“To fully benefit from modern BI and Analytics platforms, leaders must rethink most aspects of their current IT-centric analytics implementations to include roles and responsibilities, organizational models, governance and leadership processes,” says Ian Bertram. .
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