Analytics and visualization tools
Once the data is integrated into the system, it’s time to analyze it and generate actionable insights. As explained earlier, Flink is the most commonly used tool for analytics. These analytics give businesses the roadmap to what needs to be done.
Let’s suppose a customer is browsing an e-commerce store looking for a product. In this instance, the recommendation systems personalize the product suggestions that the user is most likely to be interested in and make a purchase.
Seeing is believing. Besides analytics, visualizations are equally important. Visualizing real-time customer interaction with the platform further, refine the decision-making process. Tools used for streaming data visualization are as follows:
Kibana is used with Elasticsearch. Kibana integrates with various data sources for real-time data visualization. You can make interactive dashboards with Kibana. These visualization tools enable customer experience management and allow businesses to respond quickly to changing market trends.
Grafana is another visualization tool that provides real-time time series data visualization dashboards. Teams can share visualizations from Grafana, even with employees who don’t use Grafana.
Cloud-Based solutions or managed services
Making an on-premises analytics system can be challenging. Cloud-based solutions simplify this problem by managing the necessary infrastructure. Businesses can leverage a cloud-based platform to outsource the infrastructure management to the vendor and focus more on analytics and visualizations.
DoubleCloud can assist businesses with real-time analytics. We use ClickHouse DBMS, which is 100-1000x faster than other traditional DBMS and Kafka. Our AI systems leveraging GPT-4 quickly extract insights from analytics, guiding businesses to an unbiased market report.
Is it better building real-time customer analytics in-house or using managed services?
Although building in-house customer analytics provides benefits such as customization and data governance, there are some cons to it as well. These challenges must be considered before building the customer analytics engine, which is as follows:
Resource Intensive: Building on-premises real-time customer analytics requires hardware and dedicated staff.
Maintenance: Once built, the organization must ensure that the whole system, both hardware and software, works smoothly.
On the other hand, using managed services such as DoubleCloud frees businesses from the headache of developing and maintaining analytics systems. They can solely focus on analytics and visualizations to make business strategies.
How can DoubleCloud help with real-time customer analytics?
Developing and managing in-house infrastructure and clusters for ClickHouse can be resource intensive.Moreover, it adds an extra burden on businesses to make sure everything runs as expected, and the system is secure.
This is where DoubleCloud comes into play. DoubleCloud provides a Managed Service for ClickHouse and Apache Kafka, relieving businesses of the complex tasks of developing and managing in-house infrastructure and clusters. Now business can accelerate their data analytics using ClickHouse and DoubleCloud. The procedure works as follows: