The mobile and apps economy means that the interaction with customers happens in a broader context than ever before with interactions across multiple devices, apps, social networks, and cloud services.
Apigee Insights provides unmatched context and end-to-end visibility into your business with the ability to analyze 360 degrees of information from API programs, external online sources, and data from your internal systems.
Let Apigee's data scientists deliver insights for your business by bringing together online data sources and enterprise application data with your app and API data using the Apigee Insights platform. Apigee Insights consists of the following components: Multichannel Data Aggregator, Distributed Processing Engine, Intelligent Data Storage, Analytic Accelerators.
Solutions
We analyze more than 50 signals that help break down developer adoption into multiple stages of engagement. Insights enables you to compare your developer adoption performance against industry averages and make smart decisions about how to boost adoption quickly. Helps you determine tactics and strategy to attract more developers to your program faster.
- External Signals
- Our developer adoption models collect information about what developers do outside of your program.
- Internal Inputs
- Then we combine the external signals with what your developers do internal to your API program.
- Actionable Insights
- The combination produces insights that shape your developer adoption program to boost app production and end user satisfaction.
- What kind of SDKs perform best?
- Analyze three specific signals, app traffic, SDK distribution success, and end user satisfaction, we can recommend your SDK strategy.
- Should we invest in technology or partnerships?
- Consider your developers, apps and APIs, determine your biggest problem areas and recommend solutions to help you invest wisely.
- How do we make our developers more money?
- Review successful programs and consider external models for success and then deliver recommendations about how to boost developer revenue.
We use customer behavior and actions to understand your stage in the customer lifecycle and provide you with insights that help you address the specific needs of all users at that stage. There targeted insights will help you drive engagement and retention.
- External Signals
- Understand how and where end users learn about your apps.
- Internal Inputs
- Combine that with how and when they use your apps.
- Actionable Insights
- Discover how to attract more engaged and active end users to your apps offerings.
- What kind of capabilities do engaged users prefer?
- Correlate end user usage of your products and services with the value they drive to your enterprise and highlight the most valuable parts of your product.
- How do I prevent abandonment?
- Build usage patters and identify end users that are likely to abandon and provides you with actionable preventative step to avoid abandonment.
- How do I convert non users to active users?
- Understand whether your product delivers the needs for which your targeted non users are looking. Or, determine if your positioning is appropriate to attract non users.
Identify the data that matters - to your end users, partners and developers and to your business. Understand the subset of information, data and services that deliver the right value and drive your business. Understand the demand signals that API based data requests create, and craft successful information delivery strategies.
- External Signals
- Information Analytics models collect the context around a request for data such as the requestor's location, role and intended use of the information to uncover interesting segments of your information consumer base.
- Internal Inputs
- We combine external signals with signals such as the quality, freshness of the data, and the inherent patterns in the requested data such as repeat vs. unique or manual vs. automatic.
- Actionable Insights
- This combination produces insights that identify your most valuable data assets; insights into segments of your data consumers that most value your information; as well as the impact of the quality and comprehensiveness of your data on your transactions.
- Which services are of most value to my users?
- Analyze specific signals: frequency of data request, the data requestor, time and location of data access, and the transactions enabled through the data, we can recommend in which data and services to invest.
- Which services should I ensure highest support and bandwidth?
- Consider your most used data and services; determine those for which you should ensure high up-time, best possible bandwidth etc.
- Are there patterns in my data requests that require a redesign of my information delivery infrastructure?
- Analyze the patterns in data requests and consider whether API Delivery Network (API-DN), globally distributed cache and quotas, etc. would improve distribution, performance and scalability.
Capabilities
Insight Services
Team up with Apigee's data scientists to deliver the insights you need for better business decisions at any phase - from planning to execution. Contact us.
- Develop a 360 degree business context data plan to optimize results
- Develop models for customer and scenario-specific analysis
- Integrate insight for closed loop incremental change
- Provide complete end-to-end planning, guidance, and action
Multichannel Data Aggregator
Aggregate 360 degrees of relevant information from interactions across all your channels and beyond the enterprise
- API traffic adds usage information and developer context
- Web source traffic provides a rich customer profile
- Get app stability and performance information from devices
- Combine contextual data with internal enterprise data for complete context
Distributed Processing Engine
Reduce the time from insight to action with fast, efficient, large scale processing that can analyze all your data in near real time
- Democratized processing with Java APIs expands user base
- Higly effiecient model abstraction to fit Java programming
- Dynamic processing for any enterprise requirement
- Initiate or change policies on the API gateway
Intelligent Data Storage
Expandable cloud-based data storage that can grow as needed while efficiently managing storage for faster processing.
- Data grouped and stored for faster retrieval and processing
- Expandable storage to meet any enterprise requirement
- Storage abstraction tailored to App Economy data needs
Analytic Accelerators
Take the fast path to insight with predefined data models and sample user interfaces for specific types of analysis.
- Increase understanding of customers
- Target and nurture developers for greater adoption
- Improve the use of internal data
