Summary of the Automated Data Integration Case Study
|Client||A leading e-commerce organization with operations across the globe|
|Business Challenge||To improve their organizational efficiency; save time and effort on data ETL, integration, analysis, visualization|
|Business Impact of Solution||Unified data sources; complete transparency across the organization; 45% reduction in time required for creating reports & plans|
Automated Data Integration in the e-commerce industry facilitates the synchronization of vast amounts of data to derive meaningful insights. It not only boosts the efficiency of the overall system by simplifying and streamlining the repetitive manual tasks but also helps in improving the accuracy and quality of data.
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Companies in the e-commerce industry must deal with innumerable data, and there is always a high chance of data loss, inconsistency, and inaccuracy. While processes like MDM (Master Data Management) solve these problems, organizations often lack the skills required to implement them efficiently. This is where data integration comes to their rescue; it helps create the connection between the company goals and MDM processes for better decision making, eliminating excess expenditure, and ensuring optimized utilization of data. Through data integration, multi-way connections can be created between various systems.
E-commerce data integration allows companies to manage their business operations efficiently. Apart from facilitating information handling of order details, shipments, products, and order deliveries, data integration is also used to discard unwanted operations and save time, enabling them to focus on other essential tasks. Moreover, automated data integration aids in establishing updated product information, thus helping businesses optimize inventory holding, understand customer demand better, and drive sales.
An e-commerce business based in Germany partnered with Quantzig to automate data integration tasks to improve their organizational efficiency and save time and effort on data ETL, integration, analysis, and visualization. Having more than 5 million customers in Germany, the Netherlands, France, and Austria, the company is a leader in the European market. It is an online recycling platform for products, allowing users to purchase goods from various categories, starting from books to electronics.
The Business Challenge
Huge stacks of complex, unstructured data accumulate with large-scale enterprises and go unexplored. This has been the case with our partner, who suffered from a lack of integration and analyzing capabilities while dealing with vast piles of data. The partner had its in-house legacy software, which was inefficient in churning out insights. Lack of proper engineering and technical know-how led to a lesser focus on the software efficiency issue and hence, more significant problems.
They had to sift through huge piles of unstructured data sets, thereby failing to get visibility and transparency in their operations. Due to the lack of a proper data integration tool, the data collected was in disparate, unstructured formats; even if the business was collecting data from different applications, it was accessed by different teams following their individual processes of data formatting, cleaning, and updating. Due to this lack of coherence, there was confusion, and the available data was not enabling any business-level optimization.
An e-commerce business based in Germany partnered with Quantzig for automated data integration. Our advanced analytics experts enabled the CPG organization to manage their data efficiently with the help of customized automated data automation and visualization solution. Our solution enabled the company to break down piles of data and optimize it, which translated into increased profitability and eliminated the manual tasks of data modification. Quantzig worked with the partner to provide them assistance throughout their journey which began from selecting appropriate data integration approaches to executing them.
Quantzig’s automated data integration and visualization solution enabled the partner to implement results-based, real-time business models. Using a data analytics dashboard, they could analyze business performance and identify key performance indicators that directly impacted their performance, which helped them make quick alterations to their strategies and optimize their revenues and efficiency.
Outcomes and Business Impact
Our partner reaped significant benefits, including trimming unwanted data, detecting issues, and rectifying errors in data sets. Rather than wasting time on unwanted data, the organization could filter and focus only on the necessary, real-time data. Automated data integration and visualization enabled them to have a single source of truth and provide safe, real-time access of data-driven insights to various teams and functions. With unified data sources and complete transparency across the organization, the time required for creating partner reports and strategic plans has been reduced by 45%.
- Automated data integration enables implementation of results-based, real-time business models.
- Automated data integration is a one-stop solution to enable efficient, complete utilization of data, optimize business performance, and eliminate excess expenditures.
- Automation and visualization enable organizations to find a single source of truth.
- With unified data sources and transparency across the organization, automation and visualization provide real-time access of data-driven insights to various teams and functions.
Our automated data integration solution can help you eliminate manual data integration processes that are error-prone and time-consuming and enable your organization to efficiently manage data and uncover actionable insights. To leverage our solution, request a free dashboard demo today!
We have already covered the topic of supply chain optimization for e-commerce organizations. If you want to discover how order fill analysis can help an e-commerce company master same day, next-day deliveries, we recommend you to take a look at our post.