Better customer profitability. Streamlined, consistent marketing processes. Along with outstanding brand image and product quality. Our automotive solutions help you collect, analyze and report on customer experiences as you manage:
Customer data. Gather all the right data – where and when you need it – from across the entire customer life cycle.
Marketing mix. Analyze, forecast and optimize your mix of advertising and promotions – through websites, emails, social media, forums and more.
Social media analytics. Identify and harness top social network influencers and their communities.
Customer segmentation. Know which customer groups are most likely to purchase your products and services, and why.
Real-time decisions. Make the best offers to the right customers at the right time.
Collect a wealth of customer data in real time, across every channel. Analyze the information to get a comprehensive, single view of each customer. Then use new insights to improve responsiveness, make more relevant offers, and use your sales and marketing resources more efficiently. SAS helps you to:
Connect with customers. Understand the attitudes behind customer behaviors using real-time data collection, advanced analytics and business logic to reveal customers’ buying plans, significant life changes and other relevant factors that play into purchase decisions and sentiment.
Develop precise marketing – right way, right time, right place. Create interactive offers and highly targeted campaigns that really hit the mark. Segment customers based on cross-channel behavior. And use sophisticated communication optimization algorithms to identify the best times and channels for communicating – and the best offer to present at the perfect moment.
Be more efficient. Shrink the amount of time and resources needed for every aspect of the sales and marketing process by optimizing your messages and offers. Use segmentation valuation and next-best-action models to predict customer behavior for more accurate targeting and personalized marketing.
SAS can handle a lot of different data sources and integrate them into one. There are 11 different sources where I get the data and combine it into a single view of the customer. I think that’s a very, very strong ability of SAS.
A single, enterprise view of quality. In-depth knowledge of customer perceptions. And early detection of potential problems. Our automotive solutions can help you protect your brand, preserve customer satisfaction and maintain high product quality by taking into account:
Customer insights. Protect your brand equity by listening to all your customers, across all the channels.
Data mining and integration. Get one view of all quality-related data.
Total cost of quality. Reduce scrap and rework.
Predictive maintenance. Reduce unplanned maintenance and develop sustainable maintenance strategies that minimize production disruptions.
Warranty claims analytics. Identify and act on emerging issues before they become huge, costly problems.
See across siloed groups, processes and systems to align quality and performance strategies. Work quickly to address potential issues. Then link customer feedback and expectations with design, engineering and manufacturing. With SAS, you can:
Fix problems fast. Spot quality and performance issues before they escalate into customer problems by rapidly analyzing huge quantities of data using predictive modeling. Use root-cause analysis to troubleshoot and correct issues fast, for improved uptime and smoother operations.
Put the customer into the quality loop. Gain insight into real and perceived quality issues by harnessing all types of data from CRM systems, traditional news sites and social media forums. Then integrate the data with your issue detection process for earlier warnings and corrective action guidance.
Spend less, work smarter and keep quality high. Integrate warranty data from multiple sources into a single database, using warranty data analysis to quickly decode its meaning. Ensure high quality at the lowest cost with automated quality control measurement, along with monitoring, tracking and reporting. SAS also supports proven quality methodologies like Lean and Six Sigma.
Learn about our production quality analytics solution
Remarkable customer service and a positive brand image. Control over service costs. And a smarter approach to tackling service issues. Our automotive solutions help you detect, prioritize and define warranty and service issues as you manage:
Perceptual service quality. Integrate and analyze all types of external and internal data sources to understand and manage the perceived quality of your products.
Early issue detection. Compare sentiments and set alerts before and after product launches.
Fast issue resolution analysis. Run efficient root-cause analyses with powerful filtering capabilities.
Service parts optimization. Reduce stockouts and overages with accurate parts demand forecasting.
Asset optimization. Understand the impact of reliability and maintenance costs.
Suspect claims detection. Identify data entry errors and noncompliant activity to reduce service costs through automated reviews of every claim.
Contact center resource optimization. Reveal service drivers, make solid predictions of service volumes and improve customer satisfaction while lowering service costs.
Integrate and decode data from warranties, sales, call centers, technician services and more. Detect emerging issues, see early warning indicators and identify root causes. Then send prioritized alerts to the appropriate people. SAS helps you to:
Empower problem solvers. Uncover valuable information hidden in warranty claims and service reports by analyzing structured and unstructured data. Analyze relationships among isolated claims to reveal patterns and anomalies by categorizing text data and separating it into key concepts. Sentiment analysis and component-level details provide even more insight.
Reduce repairs and lower maintenance costs. Score claims and use automated, warranty-specific predictive analytics to detect billing anomalies and suspicious repair patterns. Quickly surface emerging issues, uncover potential problems and determine root causes. And automatically analyze all service claims to uncover patterns of inefficiency – so you can identify training needs.
Synchronize your approach to solving problems. Use advanced analytics to send alerts about increases in warranty claim rates for particular parts. Early-warning algorithms run automatically to analyze millions of combinations of products, components and failures. Failure information feeds into sales, parts and resource forecasting systems so you can ensure that you’ll have the right parts, call center agents and service technicians on hand.
Well-informed lending decisions. Higher revenues and fewer delinquencies. And an optimized risk portfolio. Our automotive solutions include mathematical optimization to consider all factors and help you with:
Customer acquisition. Attract and retain more of the right customers.
Consumer and commercial credit scoring. Integrate credit scoring and internal rating processes with your overall credit portfolio risk assessment.
Loan monitoring. Monitor and manage the loan process from origination to servicing and collections.
Collections. Use the most effective collections technique for each borrower, and make the most of your collections resources.
Charge-offs. Reduce charge-offs by knowing which borrowers will respond and which communication channels offer the highest return.
Regulatory compliance. Meet reporting and risk disclosure requirements for a wide variety of regulations.
Access and aggregate credit data across disparate systems and sources. Precisely forecast, measure, monitor and report on potential credit risk exposures. And determine customer value, understand and predict behavior, and improve communications across the loan life cycle. SAS helps you to:
Say yes to the right customers. Determine potential customer value and risk factors by analyzing data for trends and establishing triggers that give early-warning alerts when a customer's behavior is about to change.
Get better returns from collections. Reduce charge-offs and delinquencies by using customer behavioral models to see which customers are most likely to respond and which communication channels will provide the highest return. Mathematical optimization, user-defined constraint modeling and integration with industry-leading predictive analytics make your collections efforts effective and profitable.
Make better decisions, faster. Reduce optimization approaches from days to minutes using a patented algorithm. And access accurate, up-to-date information for making smarter decisions – from loan origination to payoff – using embedded query and reporting tools.
Precise forecasting. Inventory that’s balanced with demand in near-real time. And perfectly aligned supply plans. Our automotive solutions deliver capabilities for:
Demand-driven planning. Generate accurate inventory forecasts at every level, even for individual SKUs.
Demand sensing and shaping. Translate demand signals like seasonality, price, promotions, events and merchandising into a more effective market-driven response.
Service parts optimization. Hone stocking levels to improve fill rates while reducing returns and idle inventory.
Sense market signals that shape and help you predict demand. Unify data from across your organization and beyond. Then optimize responses throughout the supply chain. SAS helps you to:
Operate more efficiently. Share customer and supply chain intelligence among sales, marketing, finance, operations and supply teams – and third-party stakeholders. Monitor, track, alert and report forecast performance metrics via an interactive dashboard. And a forecasting planner workbench generates automated, statistically driven consensus forecasts using weighted, combined forecasting methods.
Stay profitable. Avoid under- or over-stocking with highly accurate forecasting that uses patented technology and your choice of models for near-real-time insight. Multiechelon optimization with state-of-the-art simulation calculates optimal inventory policies throughout the service chain. And predictive modeling and what-if analysis show you how different variables affect the supply/demand balance, revenue and margin.
Improve planning outcomes. Generate unbiased consensus forecasts that works in conjunction with the S&OP process. Use time-series forecasting to build models with consideration for intermittent demand, new product launches and retired products. A set of optimization algorithms show the best action for you to take based on forecasted demand.