The Celebrus v8 Big Data Engine. Powering real-time personalisation, one-to-one data-driven marketing & advanced customer analytics.



Similar documents
to getting started with individual-level online data

Celebrus for Telecommunications: Deepening customer intelligence with individual-level digital data

Web Analytics Understand your web visitors without web logs or page tags and keep all your data inside your firewall.

E-COMMERCE SOFTWARE SOLUTIONS THAT MAKE A DIFFERENCE

Web Traffic Capture Butler Street, Suite 200 Pittsburgh, PA (412)

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata

Beyond Lambda - how to get from logical to physical. Artur Borycki, Director International Technology & Innovations

Big Data, Start Small! Dr. Frank Säuberlich, Director Advanced Analytics (Teradata International) 26 th May 2015

Ensighten Tag Delivery Network. Advanced Infrastructure for Enterprise-Class Tag Management

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

AgilOne + Responsys. Personalizing and measuring your Responsys campaigns just got a whole lot easier.

Things you should be doing with Salesforce

What s New in Analytics: Fall 2015

Luncheon Webinar Series May 13, 2013

Oracle Real Time Decisions

Analytics framework: creating the data-centric organisation to optimise business performance

Are You Big Data Ready?

Product Summary of XLReporter with OPC Servers

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence

White Paper. Big Digital Data, Analytic Visualization and the Opportunity of Digital Intelligence

What s New in Analytics: Fall 2015

CHAPTER 5: BUSINESS ANALYTICS

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal

Talend Real-Time Big Data Sandbox. Big Data Insights Cookbook

Qlik Sense Enabling the New Enterprise

Big Data and New Paradigms in Information Management. Vladimir Videnovic Institute for Information Management

Predictive Analytics. Noam Zeigerson, CTO

Driving Value From Big Data

Data. Data and database. Aniel Nieves-González. Fall 2015

31 Examples of how Microsoft Dynamics CRM Integrates with Marketing Automation

White Paper. How Streaming Data Analytics Enables Real-Time Decisions

KNOWESIS S Jus ad dat

EPoS and Ecommerce Solutions for Independent Retailers

Independent process platform

White Paper. Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices.

How To Manage A System Center 2012 R2 Operation Manager

Data warehouse and Business Intelligence Collateral

Microsoft SQL Server Business Intelligence and Teradata Database

Welcome to the Force.com Developer Day

How To Choose A Business Intelligence Toolkit

Implementing and Maintaining Microsoft SQL Server 2008 Integration Services

Five Steps to Integrate SalesForce.com with 3 rd -Party Systems and Avoid Most Common Mistakes

10964C: Cloud & Datacenter Monitoring with System Center Operations Manager

Oracle Database 11g Comparison Chart

Risk & Hazard Management

Wealth Management System

Insurance Marketing White Paper The benefits of implementing marketing automation into your marketing strategy

Getting Started Practical Input For Your Roadmap

Product Overview. Dream Report. OCEAN DATA SYSTEMS The Art of Industrial Intelligence. User Friendly & Programming Free Reporting.

Sage CRM Targeted Marketing Effectiveness

Targeted Marketing Effectiveness with the Sage 200 Suite

Breadboard BI. Unlocking ERP Data Using Open Source Tools By Christopher Lavigne

Bringing Intergalactic Data Speak (a.k.a.: SQL) to Hadoop Martin Willcox Director Big Data Centre of Excellence (Teradata

Adworks Local Area Marketing. The way it works

Oracle BI Applications (BI Apps) is a prebuilt business intelligence solution.

Getting Real Real Time Data Integration Patterns and Architectures

Workday Big Data Analytics

idashboards FOR SOLUTION PROVIDERS

Balance and maximise your Oracle EBS investment with IBM Optim A Priceline and Travel Industry Case Study Philip McBride

Intelligent Business Operations and Big Data Software AG. All rights reserved.

BIG DATA FOR MEDIA SIGMA DATA SCIENCE GROUP MARCH 2ND, OSLO

ENABLING OPERATIONAL BI

GigaSpaces Real-Time Analytics for Big Data

DEMAND SMARTER, FASTER, EASIER BUSINESS INTELLIGENCE

<Insert Picture Here> Oracle BI Standard Edition One The Right BI Foundation for the Emerging Enterprise

CHAPTER SIX DATA. Business Intelligence The McGraw-Hill Companies, All Rights Reserved

Sharepoint vs. inforouter

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University

Cloudera Enterprise Data Hub in Telecom:

How To Use Noetix

Project Online: Manage External Sharing

Advanced In-Database Analytics

QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM

Shadowbase Data Replication Solutions. William Holenstein Senior Manager of Product Delivery Shadowbase Products Group

WHITE PAPER. Data Migration and Access in a Cloud Computing Environment INTELLIGENT BUSINESS STRATEGIES

Information Architecture

Associate Professor, Department of CSE, Shri Vishnu Engineering College for Women, Andhra Pradesh, India 2

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.

Filestor Digital Asset Management. The way it works

CERULIUM TERADATA COURSE CATALOG

Unleash your intuition

OpenText Content Hub for Publishers

Safe Harbor Statement

Benefits of upgrading to Enterprise Vault

IBM Cognos TM1 Enterprise Planning, Budgeting and Analytics

Moreketing. With great ease you can end up wasting a lot of time and money with online marketing. Causing

Cost Savings THINK ORACLE BI. THINK KPI. THINK ORACLE BI. THINK KPI. THINK ORACLE BI. THINK KPI.

Optimizing the Performance of the Oracle BI Applications using Oracle Datawarehousing Features and Oracle DAC

MOC CLOUD & DATACENTER MONITORING WITH SYSTEM CENTER OPERATIONS MANAGER

6 Steps to Creating a Successful Marketing Database

Informatica Best Practice Guide for Salesforce Wave Integration: Building a Global View of Top Customers

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

Run and grow your care home facility with speed and ease The smart guide to your CareBlox solution

This white paper from Stylusinc describes how enterprises benefits by migrating to Microsoft Office 365 and how it is bringing about a sea change in

An Oracle White Paper November Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics

Transcription:

The Celebrus v8 Big Data Engine Powering real-time personalisation, one-to-one data-driven marketing & advanced customer analytics.

Celebrus v8 Big Data Engine The Celebrus v8 Big Data Engine The Celebrus v8 Big Data Engine captures, contextualises and delivers real-time data about individuals behaviours across your digital channels, delivering all the power, speed and flexibility you need to propel your customer analytics, engagement and experience programmes into over-drive. Real-time access to contextualised, actionable data Raw clickstream data about individuals behaviours across multiple digital channels and devices is captured and immediately enhanced with business context by the context-aware Celebrus v8 Engine. For example: exactly what search terms an individual used on-site; which specific products they browsed; what they added to and deleted from their basket prior to abandonment. This continuous stream of contextualised data then feeds, in real-time or near real-time, into a wide array of technologies in parallel, to drive both analytics and actions. The ease and speed of adding business context to the raw data makes driving streaming analytics and real-time marketing extremely fast and simple. It can also eliminate the need for post-processing, so you can focus on analysing and acting on the data, rather than gathering and deciphering it. Flexibility to suit your business and technology needs The continuous stream of contextualised, standardised data can be fed into a wide variety of complementary technologies to suit your business needs and existing infrastructure. For example: instantaneous feeds into real-time decisioning and offer management systems will drive one-to-one realtime personalisation; feeds into data discovery tools and big data technologies will power streaming big data analytics; near real-time feeds into data warehousing systems will enable data centralisation and operationalisation for data-driven marketing. The ease and flexibility of moving the data from Celebrus into your chosen system, or multiple systems in parallel, saves you time, effort and cost. 1

Celebrus v8 Big Data Engine Business specific data to power one-to-one data-driven marketing The Celebrus v8 Engine can very quickly and easily be configured to identify particular behaviours, or sequences of behaviours, of specific interest to your organisation. It then turns those behaviours into defined scenarios which can readily be picked up to drive actions. For example, a network operator could create a compound scenario consisting of an individual searching on-site for Porting Authorisation Code or move my number then clicking on the number portability page as a potential churn scenario. As a result they might display a message about the quality of their network coverage in real-time whilst that visitor is on the website, or if it s a high value customer, they might trigger a call from a customer service agent to offer them an upgrade. This ability to react to specific behaviours extremely quickly can both positively enhance the customer experience and improve retention and revenue results. Simple and fast tagging-free deployment Celebrus has always been a tagging-free solution a single, unchanging html insert placed in the page template, or injected at the network layer, ensures that all interactions with your websites and rich media are captured and fed into the Celebrus v8 Engine. With similar very low effort techniques, complete individual-level data can also be captured from mobile apps, social media and desktop applications. Celebrus tagging-free implementation releases you from the tyranny of tag planning, deployment and maintenance, a challenge even if you have a Tag Management System, and frees you from the restrictions of IT release cycles and support requirements. Complete individual-level data straight into your IT infrastructure The Celebrus v8 Engine continues Celebrus focus of providing individual-level, not aggregated, data about behaviours and interactions across multiple digital channels and devices. This complete set of highly granular, contextualised data streams directly into your chosen technology, without the need for the time-consuming development of ETL and data models, giving you instant access to the data whenever you need it. In addition, since the data is held within your IT infrastructure, you can ensure it meets your security and privacy requirements and associated regulations. Easy software management and auditability The new centralised Configuration Manager in the Celebrus v8 Engine makes it easier and more efficient than ever for your organisation to manage all their Celebrus system requirements in one place. In addition, the ability to set up user types and define their roles, responsibilities and system access rights, not only ensures control and accountability, but also enables the auditability required in complex, distributed organisations. 2

Celebrus v8 Big Data Engine Components The Celebrus v8 Big Data Engine The Configuration v8 Engine is extremely easy to manage as it consists of just three basic components:- Web Pages Rich Media Social Media Kiosks Mobile Apps Mobile Sites 1 The Collection & Contextualisation Engine. 2 The Celebrus Event Stream. 3 The Celebrus Connectors. Collection & Contextualisation Engine Collection Engine Context Engine Scenario Engine Configuration Manager Celebrus Event Stream Analytics Connector Warehousing Connector Real-Time Connector Into big data solutions to drive analytics & data discovery Into data warehouses for data centralisation & operationalisation Into real-time technologies for personalisation & offer management 3

Celebrus v8 Big Data Engine Components 1. The Collection & Contextualisation Engines This is responsible for capturing the raw clickstream data and applying business context. It forms the basis of all Celebrus implementations and contains:- The Configuration Engine The Configuration Engine manages all elements of system configuration including:- Raw event/click-stream data collection Context application within the Context Engine Scenario building within the Scenario Engine User role management System auditing and testing The Collection Engine The Collection Engine controls the collection of raw clickstream and event data from across multiple digital channels and devices including websites, mobile apps, social media, streaming media and more. The Context Engine The Context Engine applies business meaning to raw clickstream data in real-time. Much of this is automatic as the engine is context-aware, or you can add your own rules and logic where appropriate, to provide even more meaningful and actionable real-time data. The Scenario Engine The Scenario Engine enables organisation to apply powerful and sophisticated business meaning to the data through the building of scenarios using custom or compound events to create specific scenarios which feed into the Celebrus Event Stream. The Celebrus Event Stream This ongoing, real-time stream of contextualised events is the output of the Collection & Contextualisation Engines. It is this data that is fed into complementary technologies via the Celebrus Connectors. 2. Celebrus Connectors The three types of Celebrus Connector feed the Event Stream data, in real-time, or near real-time, directly into your chosen system(s) based on your business objectives and IT infrastructure. The Event Stream can also feed all three Celebrus Connectors in parallel, so you can be confident that you re working with a single, consistent source of data truth. Analytics Connector This feeds the contextualised Event Stream data into Hadoop, Teradata SQL-MapReduce or other data discovery platforms, in near real-time, to power big data analytics projects such as golden path, product affinity and abandoned basket analysis. Warehousing Connector This Connector delivers structured data directly into a variety of data warehouses every five minutes for use in projects such as single customer view development and data centralisation. There is a pre-built data model for the Teradata Integrated Channel Intelligence solution, plus we can feed Oracle, MySQL, SQL Server, Hadoop and MongoDB, as well as many other target databases. Real-Time Connector This feeds data in real-time into a variety of real-time systems, including decisioning and offer management, to drive realtime one-to-one website personalisation based on current and previous behaviours displayed by that individual. This Connector can feed Teradata Real-Time Interaction Manager, Oracle Real- Time Decisions and other real-time systems. Alternatively, you can use Celebrus own rules-based real-time technology to personalise website content or send triggers to, for example, call centre applications. For more information about The Celebrus v8 Big Data Engine visit www.celebrus.com/products/big-data-engine, email us at: info@celebrus.com, or call us on +44 (0) 1932 893 325. 4

2015 Celebrus Technologies Limited. CT:PD:0315:v8BDE Celebrus v8 Big Data Engine www.celebrus.com tel: +44 (0) 1932 893 325 e: info@celebrus.com Twitter:@CelebrusTech LinkedIn: CelebrusTechnologies Windmill House, 91-93 Windmill Road, Sunbury-on-Thames, Middlesex, TW16 7EF, UK