Product Optimization Analytics Solutions
Engineering and product management groups have access to millions of daily user interactions – but lack a straightforward way to uncover features and enhancements that can make products more engaging and profitable. With Karmasphere, you can not only identify these opportunities – you can also spot issues and bug paths before customers complain to protect revenues and keep customers satisfied.Business Challenges
- Product failures can occur without warning, leading to complaints and service calls.
- Product roadmaps are often uniformed by actual customer behavior.
- Profitable opportunities are hidden in device logs, bandwidth stats, and customer usage patterns.
Promise of Big Data for Product Analytics
Provide a rich experience for your customers.
- Personalize your customer experience based on usage behavior.
- Customize product experiences by analyzing event and usage logs.
- Correlate usage with demographic data to make product features and messages more relevant.
Build a better product.
- Improve product quality and stickiness by understanding adoption and drop off patterns based on errors and usability logs.
- Correlate failures with usage logs to determine circumstances leading to failure for future enhancements.
- Improve design and product manufacturing processes by cross-analyzing product usage patterns and manufacturing logs.
Offer proactive customer service and support.
- Draw from a broad base of product performance data to proactively predict product failures.
- Correlate external events, social media posts, weather, and geographic data to predict product failure.
Optimize the development process and better predict cycle times.
- Analyze QA and bug fixing logs to predict process bottlenecks and cycle times.
- Correlate bug reports, error logs, and bug fixes to prioritize R&D tasks and meet customer demands.
- Utilize usage patterns and error logs to streamline and balance bug fixing tasks and reduce peak times for R&D.
Provide insights to product managers, engineering, and customer support
- Provide product managers with a self-service data analysis workspace.
- Provide customer support with self-service data analysis workspace where they can predict customer problems.
- Provide engineering with self-service product performance analysis workspace where they can determine product enhancements and build roadmaps.
Product Analytics Data Sources
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Machine and device event log data
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Social media data
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CRM application data
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3rd party demographic and psychographic data
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Web logs
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Geo-location data
Karmasphere for Product Analytics
Karmasphere provides an analytics workspace where analysts and product managers can analyze multi-structured Big Data from internal and external sources, create visualizations, and obtain valuable insights to share with colleagues and business partners.Analyze volumes and variety of Big Data
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Analyze structured, semi-structured and unstructured data.
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Aggregate large volumes of product and usage logs.
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Cross-analyze traditional data sources with new, identified data.
- Explore new, unfamiliar datasets.
Provide insights to product managers, engineering, and customer support
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Provide product managers with a self-service data analysis workspace.
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Provide customer support with self-service data analysis workspace where they can predict customer problems.
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Provide engineering with self-service product performance analysis workspace where they can determine product enhancements and build roadmaps.