Kyligence to Present “Building a Unified Metrics Store” at Gartner Data & Analytics Summit 2023

Kyligence, a global provider of Big Data Analysis and Metrics platforms, has announced its participation in the Gartner Data & Analytics Summit 2023 in Orlando, Florida. The company’s co-founder and CEO, Luke Han, will present a session titled “Building a Unified Metrics Store” on Wednesday, March 22, at 11:30 AM EDT in Swan Ballroom 10.

The session aims to address the low efficiency and inconsistency of data analytics caused by the high complexity of data stacks and pipelines without a unified metrics store. Han will provide insights on how to define metrics once in a metrics store and consistently reuse them across various platforms, tools, workflows, and analytics. He will also share use cases that showcase how business users can connect metrics templates to their S3 account and link metrics to performance management goals.

Kyligence, founded in 2016 by the Apache Kylin founding team, has provided its solutions to many customers in the US, Europe, China, and Asia Pacific, serving various industries such as banking, securities, insurance, manufacturing, retail, and medical.

Kyligence to Present "Building a Unified Metrics Store" at Gartner Data & Analytics Summit 2023

While the announcement does not provide specific details on the use cases that Luke Han will present in the session, there are some possible scenarios where a unified metrics store can be useful:

A marketing team needs to track key performance indicators (KPIs) across multiple advertising channels, such as social media, search engines, and display ads. With a unified metrics store, the team can define the same KPIs (e.g., cost per click, click-through rate) in one place and reuse them across different analytics tools, to easily compare the performance of different channels.

An e-commerce company wants to monitor the customer journey from browsing to purchase across multiple devices and touchpoints. By defining a unified set of metrics that capture customer behavior (e.g., time on site, number of clicks, conversion rate), the company can analyze the data consistently across different data sources and platforms, enabling them to identify bottlenecks and optimize the customer experience.

A financial services company needs to report regulatory compliance metrics to multiple stakeholders, such as regulators, auditors, and investors. By defining a unified metrics store that covers all the required metrics (e.g., capital adequacy ratio, loan-to-deposit ratio), the company can ensure that the data is accurate and consistent, reducing the risk of errors or misinterpretation.



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