Source proof for Launching end-to-end security in 6 months to cut client churn

…o Login Contact Us Try Databricks Customer Stories / SK Shieldus CUSTOMER STORY Launching end-to-end security in 6 months to cut client churn SK Shieldus predicted client threats faster to reduce dispatches with Databrick…

…ted their ability to fully leverage data across the business. To overcome this, SK Shieldus adopted Databricks and, within just six months, built a unified data analytics platform. As a result, they quickly achieved major milestones — including increasing the…

…y 2%. Machine learning model development and MLOps automation also accelerated, improving model accuracy from less than 70% to over 90%, a 20% increase. "The Databricks Data + AI Platform enabled faster decision-making through inte…

…team effectively retained customers who were at risk of churn. Not to mention, the use of predictive control models reduced unnecessary dispatches by 2%. Machine learning model development and MLOps automation also accelerated, impr…

…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / SK Shieldus CUSTOMER STORY Launching end-to-end security in 6 months to cut client churn SK…

…atform 2% Reduction in unnecessary dispatches, using a predictive control model SK Shieldus is South Korea’s leading converged security company, offering integrated solutions across physical security, information security a…

…riented growth and gain a sustainable competitive edge. Share this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake , Lakeflow Jobs , Unit…

…customers nationwide. Despite operating the country’s largest security network, the company’s previous data infrastructure lacked the structure and scalability needed to support advanced data-driven services. This limited their ability to fully leverage data across the business. To over…

…data or AI system in place, the company faced other limitations. For instance, data was spread across multiple operational systems in different formats and structures. Plus, each business unit was managed by their own operational IT department, making integrated analysis difficult. Ensuring the compatibility and quality of data collected from source systems wa…

…ted their ability to fully leverage data across the business. To overcome this, SK Shieldus adopted Databricks and, within just six months, built a unified data analytics platform. As a result, they quickly achieved major milestones — including increasing the…

…y of easily repeatable tasks that consumed an inordinate amount of time. First, the cancellation prevention model proactively identified customers likely to churn by scoring complaints and after-sales histories. Then, it provided tailored responses using generative AI–powered customization guidance to improve both consultation quality and retention rates. Second, the predictive control model analyzed abnormality signals and automatic…

…tion guidance to improve both consultation quality and retention rates. Second, the predictive control model analyzed abnormality signals and automatically identified routine responses, call-in responses and whether or not actual dispatch was needed, which ultimately lowered the number of unnecessary dispatches to boost operati…

…hieldus’ overall business competitiveness. On the data quality management side, Delta Lake and Databricks Lakeflow Jobs were leveraged to build automated filtering pipelines and real-time monitoring dashboards. The combination of both tools solidified data accuracy and reliability while ta…

…oup Leader explained. Continuing to create a scalable, secure data environment, SK Shieldus adopted Unity Catalog alongside Delta Lake and Lakeflow Jobs for systematic management of data security and access controls. This ensured data was shared seamlessly across teams while maintaining governan…

…or flexible data filtering and the configuration of domain-specific data marts, MLflow easily worked in conjunction to help the company establish a consistent environment for model experimentation and tracking. With the tactical combination of these Databricks tools, SK Shieldus laid the f…

…y 2%. Machine learning model development and MLOps automation also accelerated, improving model accuracy from less than 70% to over 90%, a 20% increase. "The Databricks Data + AI Platform enabled faster decision-making through inte…

…team effectively retained customers who were at risk of churn. Not to mention, the use of predictive control models reduced unnecessary dispatches by 2%. Machine learning model development and MLOps automation also accelerated, impr…

…months, further amplifying their data utilization capabilities. In particular, a cancellation prevention model that predicted customer churn was developed and applied, which reduced call times and improved retention rates. With the new model, the team effectively retained customers who were at risk of…

…, data analytics and machine learning teams. By adopting cloud-based solutions, SK Shieldus optimized budget operations by reducing hardware and maintenance costs, minimizing IT infrastructure burdens and empowering the scalability of their computing resources. With Databricks, the company has shaped a highly flexible environment where lar…

…y 2%. Machine learning model development and MLOps automation also accelerated, improving model accuracy from less than 70% to over 90%, a 20% increase. "The Databricks Data + AI Platform enabled faster decision-making through inte…

…tion guidance to improve both consultation quality and retention rates. Second, the predictive control model analyzed abnormality signals and automatically identified routine responses, call-in responses and whether or not actual dispatch was needed, which ultimately lowered the number of unnecessary dispatches to boost operati…

…ytics platform. As a result, they quickly achieved major milestones — including increasing the accuracy of their machine learning models by more than 20%, surpassing 90% overall accuracy. Dealing with legacy limitations like a subpar…

…tion guidance to improve both consultation quality and retention rates. Second, the predictive control model analyzed abnormality signals and automatically identified routine responses, call-in responses and whether o…

…omplaints and after-sales histories. Then, it provided tailored responses using generative AI–powered customization guidance to improve both consultation quality and retention rates. Second, the predictiv…

…of concept (POCs) for various solutions on the market, including Snowflake, and decided to adopt the Databricks Data + AI Platform because of its ability to support unstructured data and unify analytics and AI into a single foundation. Maximizing data utilization with an integrated data analytics platform In adop…

…hieldus’ overall business competitiveness. On the data quality management side, Delta Lake and Databricks Lakeflow Jobs were leveraged to build automated filtering pipelines and real-time monitoring dashboards. The combination of both tools solidified data accuracy and reliability while ta…

…oup Leader explained. Continuing to create a scalable, secure data environment, SK Shieldus adopted Unity Catalog alongside Delta Lake and Lakeflow Jobs for systematic management of data security and access controls. This ensured data was shared seamlessly across teams while maintaining governan…

…or flexible data filtering and the configuration of domain-specific data marts, MLflow easily worked in conjunction to help the company establish a consistent environment for model experimentation and tracking. With the tactical combination of these Databricks tools, SK Shieldus laid the f…

…re this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake , Lakeflow Jobs , Unity Catalog Ready to get started? Try…

…re this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake , Lakeflow Jobs , Unity Catalog Ready to get started? Try…