Portrait Customer Analytics

Transcription

1 Collaborative Customer Analytics Portrait Customer Analytics Helping business managers drive insight into action

2 True insight comes from collaboration Collaborative Customer Analytics from You ve got millions of customers your biggest business asset and you need to understand how best to manage them. Any Business Intelligence (BI) tool can tell you that 6% of them defected last month. Few can tell you which 6% will defect next month. Even fewer can help you understand why they defect, so you can take the right action today. This is the real promise of customer analytics: giving business users such as marketers and customer service managers a clear picture of how to segment their customer base and how each segment is likely to behave. The Analytics Gap Until recently, business managers who wanted access to customer insight were caught between two extremes. They could use standard BI tools with limited scope for exploring data. Or they could turn to the sophisticated number-crunching solutions which require statistical programming to build complex queries, develop models and produce answers. The first option is too limited for intensive customer analytics, since the cost or time taken to ask a different kind of question is so high. The second is impossibly slow and puts too many obstacles between analytic results and the people who really need to understand and act on them. They re fine for answering isolated, or non-time critical questions but can t engage business users in iterative analysis and exploration. Business managers currently fall into the gap between these two options, preventing them from getting the answers they need in the short timeframes the market demands. This gap between analysts and the business managers they support (marketers, customer service directors, call center managers...) is constraining the power of customer analytics and preventing companies from exploiting one of their most valuable assets: customer data. The companies who get the most from customer analytics are the ones who realize that real insight only happens when accurate, well-executed data models come together with intimate business understanding and a pinch of intuition. It s about opening up the lines of communication between analysts and business managers. It s about speeding up the iterative investigation process. Most of all, it s about collaboration. Collaborative Customer Analytics

3 The Vision Collaboration Engage business minds together with analyst minds around customer data to drive better decisions on customer actions Introducing Collaborative Customer Analytics Collaboration adds a new dimension to Customer Analytics, and thereby provides a new approach to business intelligence that delivers fast, actionable insight by bridging the Analytics Gap. Collaborative Customer Analytics turns isolated analysts and dispersed line-ofbusiness managers into dynamic analysis teams that initiate investigations, share results, compare notes, refine strategies and improve outcomes. It starts with Portrait s powerful customer analysis tools, predictive algorithms and graphical visualization capabilities. Then adds two important layers that release the full power of these best-of-breed analytics tools: The Collaborative Framework and Self-Service Analytics. Portrait Customer Analytics: The Power to Predict and Uplift.. Generic analytics tools can tell you how customers behaved in the past. Portrait Customer Analytics is a predictive modeling environment that helps you discover what is most likely to happen in the future. Rather than imposing pre-determined models on to your data, the Portrait Customer Analytics solution generates predictive models from your data. It then applies these models to show you which customer segments are most likely to defect this month; or who is most likely to take up a special offer. Beyond this, Portrait Customer Analytics can use control groups to predict the likely behavior of different sub-segments, such as: Those most likely to defect no matter what you do so you don t spend too much trying to keep them. Those most likely to be positively affected by an offer so you can target your efforts to them. Those most likely to be negatively affected by an offer so you don t inadvertently cause defections that could be avoided. We call this Uplift Analysis because it shows you the exact action needed for each customer in order to optimize your outcomes. Predictive Analytics can involve sophisticated modeling done by analysts or simpler queries performed by business users. In either case, the insights gained can only add value to the business by being shared. That s where collaboration comes in.

4 Data Visualization Interactive visualization and insight into customer value metrics Real world applications Collaborative Customer Analytics is being applied every day to predict profit-impacting behaviors and propensities, including: Customer defection/churn Cross sell and up sell opportunities Credit risk and fraud mitigation Campaign planning and segmentation Customer satisfaction and loyalty effects Cross product or cross-channel cannibalization Customer lifetime value analysis Every marketing or customer service action has a specific reaction for different customers. The trick is predicting the reactions before you act. The Collaborative Framework The Collaborative Framework is a web-based portal where analysts and business users can share results, initiate new strategies, structure new reports and validate analysis. Intuitive workflow tools help decision-makers set customer treatment strategies based on predictive models, then check those strategies with the analysts who can validate their logic and the wider community of users who will implement it. Previously inefficient processes are replaced by a sound methodology. Archiving of reports, queries and results allow users to accelerate new investigations by basing them on existing ones. Intuitive search makes it easy to find previous results. And simple permissions administration protects sensitive data and keeps insights on a needto-know basis. Self-Service Analytics Self-Service Analytics extend the power of predictive analytics to an even wider community of business users. For the first time, non-technical users can access customer information directly, allowing them to drill down for instant answers, perform their own ad hoc queries and generate their own reports. Results can be easily published by all users and exported to the desktop applications business users are most comfortable with. Self-Service Analytics supports the three main types of user: Executive users access data through a familiar web-search interface that turns plain English questions into reports, customer profiles and visual insights, with no training required. Answers to queries over millions of data points are returned in seconds. Business Managers and Analysts use a point-and-click interface for ad-hoc queries and OLAP (Online Analytical Processing) like queries, with immediate response. Power Analysts use a deep dive interface for the widest exploratory power and deep analytic results. Results are easily shared with the wider enterprise using the Collaborative Framework environment. With Self-Service Analytics, different users can access the same customer data, coming away with the appropriate depth of information and presentation. And all results are ready to be published to the widest community possible, driving insight to the front lines. Collaborative Customer Analytics

5 Predictive Analytics enable better targeting Decide who to target based on likelihood of response and other constraints e.g Geography, predicted value The Elements of Analytics With millions of customers and billions of transactions, analytics can get extremely complex. Collaborative Customer Analytics removes layers of complexity for business users while retaining freedom for power analysts. It then bridges the gaps between these groups while extending insight throughout the enterprise. To do this, it must be: Interactive Train of Thought Analysis mirrors the way people investigate issues, supporting iterative, responsive queries that can follow hunches and lead to unexpected answers. Accessible The web-based interface can be customized to reflect each user s preferences, with no client software to maintain and manage. Out of the box configuration makes implementation fast and easy. Flexible Portrait Customer Analytics column-oriented database removes the restrictions associated with OLAP cubes, delivering high performance without special tuning or indexing. Users can ask any questions along any dimension or attribute. Comprehensive Collaborative Customer Analytics is based on our holistic view of the customer drawn from a wide range of databases and applications. An ETL (Extract, Transform and Load) process optimized for customer data combines information from all source systems into a homogeneous, customer-centric view. Easy to understand Self-Service analytics must support users who have little or no experience with databases and analysis. This solution uses intuitive hierarchies, on-screen guides, plain-language queries and visual presentation to keep things clear. Portrait Customer Analytics has emerged from hundreds of real-world deployments with every level of user. It reflects the way business users think about customers as well as the way analysts think about data. The result is a fully collaborative environment that drives the power of customer analytics to where it s most needed: the point of interaction. Turning Insight into Action. Collaborative Customer Analytics doesn t stop at the point of insight. Because it s part of the Product Suite, insights are quickly and easily deployed as real interaction processes across all channels whether call center, web or branch/retail. And since solutions analyze interactions in real-time, customer treatment strategies and processes are tested, validated and continuously improved. Evaluate, Engage, Evolve Repeat. The insights gained from Collaborative Customer Analytics can also be leveraged in other CRM suites, such as Siebel, with direct links between analytics and treatment strategies.

6 Our new paradigm enables the data mining team to work with Portrait Customer Analytics alongside the key business people; interacting with the data, following trains of thought and making better decisions in a shorter time. Being able to catalyze the combination of skills was exactly the kind of chemistry Washington Mutual was looking for. Greg Martin, SVP, Washington Mutual Bank The Bottom Line Benefits Collaborative Customer Analytics delivers on the promise of business intelligence for any B2C company: Increase the speed of decision-making improving the responsiveness of the enterprise. Seize new profit opportunities such as cross selling, up selling, increased campaign response, sales-from-service, defection prevention, etc. Drive down the cost of analysis while increasing the number and type of questions you can ask. Support customer-centric thinking and drive it throughout the organization. Free up power analysts to add real value to the business instead of simply managing queries and reports. Extend the power of customer data to the largest possible universe of business managers. Add power to existing applications and BI resources with easy integration that releases the potential locked in closed databases. Faster, better decisions. That s what Collaborative Customer Analytics is all about. Leading the new era Not surprisingly, Collaborative Customer Analytics is being pioneered by Portrait Software, the market visionary world leader in customer analytics and customer-critical process management. Over the last ten years, we ve helped some of the best B2C companies in the world turn their customer data into powerful predictive models that improve profits. We ve also seen how even the best analysis tools in the world can become shelfware if they re sealed off from the business users they should be supporting. Collaborative Customer Analytics has emerged from successful implementations with companies like Vodafone, Washington Mutual, Tesco, BT and Merrill Lynch. It works because it makes sense. Customer data must be freed from its ivory tower; and expert analysts must be released from the burden of report generation and ad hoc queries, so they can do real analysis. The Portrait Customer Analytics Difference Portrait Customer Analytics offers best-ofbreed customer analytics solutions. Predictive Analysis turning historical data into predictive models that sense the customer s next action. 3D Visualization making data come alive, telling its stories with clear, compelling graphics. True Uplift Analysis a new modeling technique that directly models the difference in behavior between a treated group and a control group to find the people most affected by an intervention. Process Integration the best possible customer treatment strategies can be automatically deployed as automated interaction processes using Portrait Interaction Optimizer. Collaborative Customer Analytics

7 Self-Service Analytics Extending the power of predictive analytics to an even wider community of business users. Next Steps Let prove the value of this unique approach to collaborative customer analytics by road testing the power of true customer insight. This is where Portrait Insight comes in! Portrait Insight allows clients to prove the business value, the technology, in their own environment, with their own data with full data visualization and a viable, deployable model. Use Portrait Insight to reveal the true value of your customer data whether it is customer segmentation and profiling, retention modelling, cross sell and up sell analysis or customer value. can offer this model in such a short timeframe due to the uniquely fast software and deep industry experience of its consultants.

8 About enables organizations to engage with each of their customers as individuals, resulting in improved customer profitability, increased retention, reduced risk, and outstanding customer experiences. This is achieved through a suite of innovative, insightdriven applications which empower organizations to create enduring one-to-one relationships with their customers. The Portrait suite seamlessly integrates the world's most advanced customer analytics, powerful inbound and outbound campaign management, and best-in-class business process integration to drive real time customer interactions that communicate precisely the right message through the right channel, at the right time. Our 300+ customers include industry-leading organizations in customer-intensive sectors. They include Merrill Lynch, Lloyds Banking Group, US Bank, Dell, Nationwide Building Society, T-Mobile, Telenor, Fingerhut, Bank of Ireland, Bank of Tokyo and Fiserv Bank Solutions. For more information on, please visit: Contact Details Americas 125 Summer Street 16th Floor Boston, MA USA contactus@portraitsoftware.com Tel: Fax: Asia Pacific Level Young Street Sydney NSW 2000 Australia contactus@portraitsoftware.com Tel: Fax: Europe The Smith Centre The Fairmile Henley-on-Thames Oxfordshire, RG9 6AB, UK contactus@portraitsoftware.com Tel: +44 (0) Fax: +44 (0) Maridalsveien 87 Bygg Oslo Norway Tel: Fax: Melville Street Edinburgh EH3 7JF UK Tel: +44 (0) Fax: +44 (0) Copyright plc 2009 All rights reserved US