5 Do's and Don'ts of Embeddable Analytics
Whether you’re producing automation software, SaaS products or cloud applications, it’s likely to assume you’re collecting a lot of data in the process.
With more and more companies and individuals understanding the value of using data to improve different aspects of their business, the ability to offer a powerful data analytics and dashboard reporting (i.e., Business Intelligence) feature within your existing product can give your software product the competitive edge that it needs and greatly improve the value you offer to customers.
Step 1 - Considering whether to buy or build an analytics platform
Consider the costs, time to market and end-product functionality of developing in-house
Overlook the possible hidden costs and time-sinks in some embedded solutions
Step 2 - Defining your requirements from embedded analytics
Consider your current needs
Underestimate your future needs
Step 3 - Choosing between different embedded BI vendors
Look for a vendor that offers full-featured software with fast implementation
Compromise on less than a full Proof of Concept before purchasing
Step 4 - Integrating embedded analytics in your products
Give your users the freedom to explore their data
Confuse your users with overly complex interfaces
Step 5 - Building a customer support model
Train your staff to properly handle common issues
Settle when it comes to ongoing support from your BI vendor
Read the do's and don'ts in more detail here
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