Based on research by Gartner, a previous blog post highlighted the significant changes taking place in the Business Intelligence and Analytics Platform market.
As a consequence of the growing need for organisations to derive actionable insight from data, often in real time, the market has moved from IT-led enterprise reporting to business-led, self-service analytics.
With the growing demand for analytical agility and business user autonomy, Gartner predicts that most new buying will be of modern, business-user-centric platforms supporting speed and agility, rather than traditional top-down IT led solutions.
“The evolution and growing sophistication of self-service data preparation and data discovery capabilities available in the market has shifted the focus of buyers in the BI and analytics platform market toward easy-to-use tools that support a full range of analytic workflow capabilities and do not require significant involvement from IT to predefine data models upfront as a prerequisite to analysis.”
With a tipping point being reached, incumbents such as SAP, IBM, Oracle, MicroStrategy and SAS are no longer ‘Leaders’ in Gartner’s Magic Quadrant. They no longer provide product offerings attractive to the new breed of buyer, with most struggling to transform their product offerings, sales and marketing strategies in a modern BI world where business users, rather than IT, influence buying decisions.
The only exception to this is Microsoft, the overall vision leader in Gartner’s Magic Quadrant, for its Power BI suite of business analytics tools.
Power BI in Action
Microsoft Power BI is a suite of tools that automatically transforms your organisation’s data into rich visuals. It creates powerful interactive reports allowing you to develop actionable insights from important data already being collected across your organisation.
Easy to integrate with most existing databases in your organisation, Power BI provides the tools to transform, analyse, visualise and share data across multiple devices. Your whole business on one dashboard as shown in the video below:
One of the best ways to highlight the range of possibilities from using Power BI in your organisation is through case examples.
A recent article presented twelve very interesting examples of successful Power BI implementations. The diverse range of industries covered should be useful to any organisation moving in this direction.
For illustrative purposes, we list six of the cases below. The full list can be accessed at 12 Microsoft Power BI Success Stories.
Real Madrid analyses social media data to customise marketing campaigns
With an estimated 450 million global supporters, most of whom live outside Spain, Los Blancos required a technology solution to support digital services, allowing it to collect and analyse fan data.
ABB Italy accelerates custom BI reporting
ABB Italy, a subsidiary of ABB Group – a world leading digital industrial company, required a state-of-the-art BI application to provide deeper market analyses and visual reporting for the region’s manufacturing business. An internally built solution provided easy access to reports but new reports required going through the company’s external IT supplier, a process that could take up to four weeks.
Carnegie Mellon slashes energy consumption
Established in 1900, Carnegie Mellon University (CMU) is a leading research institute with seven globally recognised schools and colleges. Power BI was implemented to manage energy efficiently in large buildings across multiple sites.
Condé Nast reduces redundant reporting tasks
The global media company Condé Nast required better insight into the performance of its 20 industry-leading print and digital media brands, but struggled with pulling data together from multiple sources. Additionally, it often fielded redundant requests from the sales and editorial teams.
Helse Vest collects, visualises and shares medical data
Norwegian regional health authority Helse Vest operates 50 healthcare facilities (including 10 hospitals). As part of a recent national patient safety program, Helse Vest hospitals were asked to collect, visualise and share medical data to identify quality measures and reporting requirements across all care teams and hospitals. This required all 10 hospitals to combine data from all facilities for analysis – a daunting task because none had an easy method of combining and visualising the data.
Oslo University analyses healthcare data in hours rather than months
Oslo University Hospital is Scandinavia’s largest hospital, born from the merger of four smaller hospitals in 2010. The hospitals had separate databases that had to be merged for enterprise-wide analyses. Analysis often required programming skills that researchers and administrators lacked with reports being run by the IT department.
You can access the full article here.
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