Early Warning and Real Time Anomaly Detection System © 2015 Blueocean Market Intelligence1

Implemented real time anomaly detection system for a leading PC manufacturer globally(1/2) © 2015 Blueocean Market Intelligence2 Client: Leading PC Manufacturer in the US Deployed system integrated data from multiple sources and channels (50+) including −Online (adobe Marketing Cloud and google analytics −Transactional data (SAP) −Social Media (FB,Twitter, Blogs etc) −Pricing analytics (slickdeals,Fatwallet,Pricegrabber) Implemented proprietary learning engines and NLP processing techniques to properly categorize free text and unstructured data Using Blueocean’s system, client was able to identify anomalies with close to 90% CL accuracy Blueocean recommendations ensure improved CSAT scores by 10% QoQ Result Technology Industry: Early warning system acting as a pro active deterrent to online issues. Predicting viral events even before they occur. Multi channel insights helping drive higher customer satisfaction through proactive alerts Business Impact: Study Objective Client stakeholders were struggling to keep up with pressing experience issues with their online eco system – with perpetual pricing issues and incorrect product configurations. Client had lost revenue opportunity close to ~ 200k a day due to these issues Specifically client wanted to fulfil the following objectives, which needed an alert mechanisms inbuilt to trigger communication even before an issue occurred or snowballed into larger issues Reason and RCA regional pricing differences Highlight and solve specific cases with inconsistent experience uses Capture negative and positive sentiments across different forums Blueocean team deployed a global analytics team consisting of big data specialists, business analytics, domain SMEs and visualization & reporting analysts to set up the system Blueocean team conducted a series of workshops across GEOs to understand specific requirements and different workflows including product / SKU go live process, pricing & promotion decisions and existing process of setting up the actionable alerts Blueocean team followed a three pronged approach – People, Process and Technology to create an automated machine learning based system to create a detailed workflow which kept stakeholders informed, anomaly discovered near to real time before snowballing into escalation and on demand, published reports ensured stakeholders were always informed of issues and notifications Approach

Implemented real time anomaly detection system for a leading PC manufacturer globally (2/2) © 2015 Blueocean Market Intelligence3 Features Alert mechanism for stakeholders of anomalies before they have a large, negative impact to the bottom- line or UX Provided automated anomaly reporting, allowing stakeholders to act quickly Support efficient communication through automation of task assignment

United States | United Kingdom | India | United Arab Emirates Transformation © 2015 Blueocean Market Intelligence4 For more information: Anees Merchant Bhaskar Dey