Customer Insight for Utilities
Deeper customer insight and engagement along the entire customer journey.
How SAS® Helps Utilities Gain Deeper Customer Insight
The rules have changed. So have your customers. SAS delivers the customer insight you need to thrive in the new energy landscape.
Open data model
- Translates digital data into useful insights with an open, customer-centric data model.
- Easily combines with your existing online and offline customer data, including smart meter, CIS, CRM, social media and call center data.
Dynamic data collection
- Enables dynamic data collection with a single line of HTML code in each webpage.
- Lets you avoid form- and field-level tag maintenance while collecting every consumer interaction down to the keystroke on all your web properties.
Post-data-collection contextualization
- Contextualizes data captured from all digital channels and devices in a matter of minutes.
Predictive models, forecasting & goal-seeking routines
- Lets you run analyses to determine which goal-seeking routine adjustments will result in better business goals – e.g., for energy efficiency and demand response programs.
- Advanced statistical and optimization routines are prebuilt, so you don't have to be a statistics expert to run or develop them.
Dynamic content placement
- Uses analytical procedures to determine when and where to place personalized content on webpages or in mobile apps to engage customers more effectively – particularly important as more customers become “prosumers."
Digital asset management
- Lets you use, reuse and version rich media assets, and determine where they are most effective, via an easy-to-use interface.
Part of SAS® Customer Intelligence 360 suite
- Fully integrates with the complete SAS Customer Intelligence 360 suite, so you can analyze and execute marketing programs down to the individual customer level right out of the box, within a unified environment.
Why do utilities choose SAS® for better customer insight?
Craft contextual customer interactions based on insights gleaned from big data analytics. Develop new revenue-generating business models. Predict, prioritize and preempt customer issues that may lead to dissatisfaction, increased costs and churn.
Successfully navigate the omnichannel world
Generate higher response rates and greater ROI by delivering a consistent, relevant customer experience across all channels. A single interface gives you access to capabilities for multichannel interaction management and execution combined with interaction optimization.
Identify your most – and least – profitable customers
Accurately calculate the cost and profitability of activities tied to campaigns, as well as customers, channels and products.
Uncover issues & trends, identify root causes
Apply data mining, text mining and forecasting techniques to billing, call center, survey and other types of data to expose and address problems before they lead to expensive customer issues, programs losing traction and critical lost revenue opportunities.
Monetize aggregated streams of customer information
Deliver real-time, location-based, personalized services using real-time decision engines and event stream processing. Combine location-specific data with customer behavior insights to enrich the customer experience and drive market growth.
Target social influencers
Use advanced analytics to create more detailed, comprehensive segmentation models. Identify and track relationships between customers and target those with the most influence.
Related Products & Solutions
- Data Management SoftwareSAS 데이터 관리 솔루션과 소프트웨어로 플랫폼 전반의 데이터 통합, 정제, 이동 및 관리를 통해 정확하고 일관된 정보를 제공합니다.
- SAS® 360 Discover디지털 고객 경험 전반에서 행동 정보를 파악하고, 기존의 디지털 분석 보고를 확장하십시오.
- SAS® 360 Engage옴니채널 마케팅 기능을 이용하여, 알맞은 디바이스에서 적합한 고객과 소통하십시오.
- SAS® 360 Match분석으로 광고를 제어하고, 디지털 광고 에코시스템을 신속하게 업데이트하십시오.
- SAS® 360 PlanCentrally manage, integrate and streamline all marketing planning activities so you can be agile and accurate in accounting for marketing investments.
- SAS® Visual Data Mining and Machine LearningSAS 비주얼 데이터 마이닝 및 머신 러닝은 통합적인 시각화 인터페이스를 통해 모든 데이터 마이닝, 머신러닝 프로세스를 지원할 수 있습니다.