Nthinsight | Product Analytics

The BUZZ around it

For any business to grow and succeed, it's imperative to understand and act on customer sentiment because at the heart of any organization's sustainability is it's customer base.So for any industry to thrive, the analysis of customer's usage of the organizations offering/product is of utmost importance. Product analytics is the process of analyzing how users use, adapt, implement and engage with the product

Project Scope

Analyze the source systems of data collection

Identify where the product data is stored

Create Data Pipeline for data ingestion

Build a centralized data repository to host data

Build certified data model for broader consumption

Connect the customer centric attributes to build holistic data platform

Analyze the customer product adoption

Define engagement model and segment customers based on usage patterns

Downstream application for data usage

Data Analysis, Visualization and Insight driven results

Project goals

Product analytics is a term that describes a process of analyzing users engagement with the product. Today, there exists a variety of tools that help with product analytics but it's not a "one-size-fits-all" solutions and let's be honest, once we setup data loads, transformation and visualization layers on the underlying data you might not even need one more tool to maintain and manage. Together with you, we will embark on a journey to assess the best fit for your success and work accordingly.

Centralize the product data storage and accessibility
Build certified models for user and system consumption.
Analyze the data and generate insights on customer
Publish regional newsletters/internal communication on customer segmentation and monitor usage as customer lifespan progresses.
Alert on customer behavior, interesting usage patterns and likelihood of business outcomes - Retention, Expansion and Churn

Pronunciation and more common words. If several languages coalesce. over the years, sometimes by accident, sometimes on purpose. Over the years, sometimes by purpose.

Final outcome of this project

Having product analytics practices is gaining popularity as it is paramount in helping identify the customer centric KPIs such as customer renewal, upsell and attrition. These business metrics help shape up the future strategy as well as positively impact the product roadmap as it gives visibility into key focus areas.

Certified Data Model and Data Assets
Data Quality Reports for proactive remediation than reactive
Customer Segmentation for laser focus on customers with differing usage patterns
Data assets for 360 view into customer performance as it relates to business KPIs.
Continuos feedback, maintainence and testing for data flows in the event of tool implementation.

It is extemely powerful and offers actionale insights that helps your organization develop data led culture and create a unified language where new and existing customers are at the forefront of any business decision and everybody within organization is working towards a common goal of ensuring customer success and business continuity.