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Analytics and the APP!

 

Welcome Back!!! In parts 1 and 2 we started out to understand the concept of analytics and the app (or analytics on a mobile platform) and review a few case studies from different leading products - Kronos, Oracle, and SAP. In this concluding part we will look at the significance of these case studies and draw inferences as to how they impact the world of analytics...

 

Inferences:

 

We have seen 3 case studies across different verticals with varying background and use case scenarios. However all have the common feature of using an analytics tool on a mobile platform to showcase the versatility of this combination of Analytics and the App!

 

When organizations go mobile with analytics, they are able to extend the reach of information and empower people from every aspect of their business with the facts to make better, more informed decisions.

This is evident from the 2015 Mobile Business Intelligence Market Study by Dresner Advisory Services:


  • Mobile business intelligence (BI) is the third most common use case for mobile business workers, next to e-mail and contact information

  • 90% of study participants said mobile BI is important to their business

  • In a surprising find by a Dresner market survey (*) Business Intelligence is of the 3rd  highest priority in Mobile applications, ranking higher than social media and even personal banking, coming in below only email and basic phone services.

 

*SOURCE - Wisdom of Crowds ® Mobile Computing/ Mobile Business Intelligence Market Study 2015

 

Trends observed during the research on case studies indicate the growing importance of Mobile analytics in different verticals - IT being the prominent horizontal across most of the industries. Some of the reasons for this are listed below:


  • Exploding usage of 'smart' mobile devices in general - personnel, org-wide, technological leap

  • Growing use of BYOD among enterprise employees - personnel get more opportunity to tap into the client systems and data as organizations open up accesses to employees.

  • Rapid use of mobile devices for other aspects of daily life - communication, mails, social media, entertainment - to make a convenient platform for including analytics.

  • Flexibility of usage and availability on-the-go. From being a straight-line process to being agile.

  • Advanced functionality of apps and devices - inducing enhanced parts and software.

  • Technology growth to aid predictive analysis and user data customization.

 

Suggestions/Future Prep: 


  • It is seen that the concept of mobile analytics is well known but almost negligible in application. This could be leveraged further to achieve Customer Delight.

  • The analytics functionality on ERP systems remains a niche area. Consultants could be empowered with training on this module to also include the mobile apps that are usually pre-built for such applications.

  • Another option to be explored would be provision of sample tablet devices (i-pad or android) to respective practices so as to enable learning, hands on and PoC processes.

  • From the case studies and also from project experience, it is observed that even though customers may be aware of the implications of mobile analytics on their processes, a PoC is helpful in all cases to create the right focus to open up further avenues of engagement.


Conclusion:

 

The advent of the mobile platform has been another epoch making event, probably making it to the top 20 inventions/events that changed lifestyles across the world significantly. Added to this event, parallel advancements in related areas like data analysis, cloud computing, big data, to name a few have been instrumental in converging the big with the best, giving rise to a concept such as mobile analytics. Since this concept is still in its nascent stage, it provides great potential for further exploration to discover the myriad use case scenarios and adaptability, which could lead to several success stories of - Analytics and the App!


 

End of part 3...hope you found this interesting - Please do leave your valuable feedback!

Part1 :  http://www.infosysblogs.com/oracle/2017/09/analytics_and_the_app_1.html

Part2 :  http://www.infosysblogs.com/oracle/2017/10/analytics_and_the_app_2.html

 

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