SPOTLIGHT ON INDIAN ELECTRONICS Spotlight on Indian Electronics | Page 227

HIGH PRIORITY MARKET

Global Business Intelligence and Analytics market to reach $ 16.9 bn in 2016

Global revenue in the business intelligence( BI) and analytics
process and every person is an analytics user.
market is forecast to reach $ 16.9 billion in 2016, an increase of
It is no longer possible for chief marketing officers( CMOs) to
5.2 percent from 2015.
be experts only in branding and ad placement. They must also
The BI and analytics market is in the final stages of a multiyear
be customer analytics experts. The same is true for the chief
shift from IT-led, system-of-record reporting to business-led,
HR, supply chain and financial roles in most industries.
self-service analytics. As a result, the modern business
To meet the time-to-insight demanded by today ' s competitive
intelligence and analytics( BI & A) platform has emerged to
business environment, many organizations want to
meet new organizational requirements for accessibility, agility
democratize analytics capabilities via self-service.
and deeper analytical insight.
Defining the modern BI and analytics platform
The shift to the modern BI and analytics platform has now reached a tipping point. Organizations must transition to easyanalytics to-use, fast and agile modern BI platforms to create business value from deeper insights into diverse data sources.
platform and a traditional, IT-centric reporting and
The most significant difference between a modern BI and analysis platform is the amount of upfront modeling required, as well as the skills needed, to build analytics content( Table
The democratization of analytics
1). Creating analytics content via IT-centric reporting platforms
As analytics has become increasingly strategic to most
starts with IT consolidating and modeling data in advance. By
businesses and central to most business roles, every business
contrast, a modern BI & A platform supports IT-enabled
is an analytics business, every business process is an analytics
development of analytics content.
Table: High-Level Comparison of Traditional and Modern BI and Analytics Platforms Analytics Workflow Component
Data Source
Data Ingestion and Preparation
Content Authoring
Analysis
Insight Delivery
Source: Gartner( December 2015)
IT-Centric Reporting and Analysis Platform
Upfront dimensional modeling required( IT-built star schemas)
IT-produced
Primarily IT staff, but also some power users
Structured ad hoc reporting and analysis based on a predefined model
Distribution and notifications via scheduled reports or a portal
Modern BI and Analytics Platform
Upfront modeling not required( flat files / flat tables)
IT-enabled
Business users
Free-form exploration
Delivery via sharing and collaboration, storytelling, and open APIs
To get the full benefit of modern BI and analytics platforms, leaders must rethink most aspects of their current IT-centric, centralized analytics deployments, including technology, roles and responsibilities, organizational models, governance processes and leadership.
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