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People usually feel frustrated or overwhelmed while integrating data into their development process. http://innopplinc.com - PowerPoint PPT Presentation
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12 steps that will lead you to Data-driven Mobile App Development
There is an endless flow of data to be monitored for metrics such as
Bounce rates New users Exit rates Returning users from
innumerable sources
People usually feel frustrated or overwhelmed while integrating data into their development process.
Avoiding the complexities of analytics will only lead to missing the advantages it could provide.
In order to perfect an application, analysis is very
important. Follow these 12 steps to data-driven mobile app development
• Collecting data• Measure your success against Benchmarks• Start with questions• Provide actionable data• Don’t pull out records manually • Leave room for a big win
• Being Proactive Vs being Reactive• Set your milestones• Quantify customer sentiment• Learn from your mistakes• Consider the long view• Measure relevant sample
size
Collecting data
Remember all the data that is collected will answer questions one day or the other. Be smart to collect all relevant information that is needed.
Measure your success against Benchmarks
Focus on company-wide KPIs and keep probing yourself about how your app could contribute to them.
Start with questions
Always remember to determine the needs that are to be tracked in order to give actionable insights later.
Provide actionable data
Free flow of information will keep analytics stream fresh and open to changes.
Don’t pull out records manually
Reports should be set up with analysis and time focused on answering questions.
Leave room for a big win
Give some space for your analytics analyst for some free rein, the output and the insight will be surprising.
Being Proactive Vs being Reactive
Be proactive and think of fixing the road ahead instead of looking in the rear-view mirror.
Set your milestones
Decide on significant metrics, set your goals and share it with your users and media to reach your target
Quantify customer sentiment
Monitor reviews and received mails to analyze the usability improvements
Learn from your mistakes
Keep record of the updates of what works and what doesn’t.
Consider the long view
Always look beyond, set longer timeframes and see bigger trends.
Measure relevant sample size
Keep a statistical data set about the number of users and the time taken
So accordingly, it’s the illuminating insight that is gleamed from combining quantitative and qualitative data that will effectively make data the driver to your app decision. The most valuable role played by a data is the app’s success.
Thank you