CASE STUDY

How did Quantzig’s data catalog solutions helped a leading energy provider to better understand their customer? 

Sep 28, 2022

Highlights of the Case Study: 

Particulars Description 
Client  A major energy distributor with its European headquarters partnered with Quantzig to develop automatic data cataloging from various customer touchpoints to provide customer services more quickly. 
Business Challenge Our client wanted Quantzig to help in analyzing data for tracking the usage and management of huge volumes of data  
Impact Quantzig’s experts enabled easy access to the data and transformed that information into insights that would boost productivity, revenue, and profitability  

Game-Changing Solutions for the Energy Distributor    

First, we need to understand the impact of data catalog solutions for the energy industry. Major players are having difficulty in providing the appropriate consumer experience with the ever-increasing number of smart devices and applications. Customers are adopting smart products, and as a result, there is an increase in architectural complexity due to the variety of client data touchpoints that produce new data kinds. These features include personalized assistants and AI-based notifications. The vast majority of this data is cloud-stored and made readily available in real-time on other devices via mobile apps, web browsers, and other applications. The amount of API connections and data moving across the IT landscape expands tremendously when this data is made accessible from anywhere and at any time. Quantzig uses advanced analytics tools to better understand its clients that examine AI capabilities effectively. 

Quantzig helped in active customer involvement, increased sales conversions, and centralized customer data for all touchpoints. Additionally, Quantzig helped in analyzing, evaluating, assessing, and tracking the usage and management of huge volumes of data. 

The Challenges of the Client 

A major energy distributor with its European headquarters collaborated with Quantzig to develop automatic data cataloging from various customer touchpoints to provide customer services more quickly. The client approached Quantzig seeking solutions for advanced analytics to effectively manage inquiries and circumstances with varying degrees of complexity. 

The client sought to allow active customer involvement, increase sales conversions, and centralize customer data for all touchpoints. Additionally, the client highlighted the need for analyzing, evaluating, assessing, and searching data for tracking the usage and management of a high volume of data. The client was facing difficulty in managing the huge volume of data, high cost, gathering information from a source system across the company, lack of knowledge to implement a data catalog, and implement tool support for data sources.

Through Quantzig’s data catalog solutions, the client wanted to expedite the speed at which they manage enquiries despite the complexity.

Quantzig’s Automatic Data Cataloging Solution for Energy Distributors    

The three primary stages of the consumer lifecycle, such as awareness, evaluation, and post-purchase, were covered by Quantzig’s customer analytics solution. The customer’s approach to viewing goods and services was significantly affected. There are many digital or customer relationship management (CRM) touchpoints. By using Quantzig’s analytics tool, the client could discover key touchpoints to evaluate and map out the customer journey. A map of their entire journey is provided by the customer touch point management application. The client made use of the solution’s scanning source system for new data as well as identifying and documenting new data items. In addition, the software assisted in identifying data similarities and attempted to infer the relationship between data points from various data sources. Furthermore, it allows users to join or combine data from several source systems and includes the detection of duplicate data. 

Impact Analysis of Quantzig’s Data Cataloging for Energy Distributors  

Quantzig’s solution helped the client with brand loyalty, improved customer retention, data efficiency, and data analysis, and reduced the risk of errors. It aided the client in identifying the touchpoints at various stages and in managing consumer expectations to provide a wonderful experience. Data catalogs allowed the client to scan and catalog all of the company’s data assets, making it simple for data and business analysts to access the information they needed and, ultimately, transform that information into insights that would boost productivity, revenue, and profitability. There were numerous advantages to using a corporate data catalog powered by machine learning (ML) and a discovery engine. 

data catalog solutions

Key Outcomes 

Quantzig’s data catalog solutions aided the client in identifying the touchpoints at various stages and in managing consumer expectations to provide a wonderful user experience. There were numerous advantages to using a corporate data catalog powered by machine learning (ML) and a discovery engine such as it allowed the client to scan and catalog all of the company’s data assets, making it simple for data and business analysts to access the information they needed, and ultimately to transform that information into insights that would boost productivity, revenue, and profitability. 

Broad Perspective on Data Cataloging in Enterprises  

A growing number of Quantzig’s clients, ranging in size from large to mid-sized businesses, use Enterprise Data Catalog to give their data science teams quick access to data and to facilitate data collaboration. A variety of self-service analytics and AI efforts, including customer 360, fleet optimization, risk management, and drug discovery, are being operationalized by users using the catalog. 

Key Takeaways 

  • Customer retention 
  • Enhanced brand loyalty  
  • Improved data efficiency 
  • Improved data analysis 
  • Reduced risk of error 

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