BUSINESS CHANGE THROUGH PREDICTIVE ANALYTICS - CHANDAN RAJAH

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Customer insight / intelligence specialist helping businesses increase customer engagement, retention and loyalty using big data science techniques to create and capture value by proactively responding to customer needs, increasing operational efficiency and increasing tactical agility to respond faster to market change and disruptors. Senior general manager with 18 years of experience managing business unit P&Ls in large enterprises across multiple geographies: United Kingdom & Europe, North America, United Arab Emirates and India. Track record of executing large revolutionary initiatives like Sky AdSmart, Weve, Sky Go, etc.

Business Change through Predictive Analytics
Chandan Rajah [@ChandanRajah]
Head of Group Analytics

@ChandanRajah
ANNUAL SALES
£1.8 billion
PROPORTION OF
SALES ON MOBILE
59%
DAILY WEBSITE VISITS
>1 million
about us
profits
up 78%
4m+
users
48m+
products
GOOD THINGS EASILY ACCESSIBLE TO MORE PEOPLE

@ChandanRajah
business change
customer economy
growth disrupt
technology

@ChandanRajah
predictive analytics
regression
what-if
personalisation
deep learning

@ChandanRajah
road to el dorado
what
why
when
how

@ChandanRajah
incremental value
revenue engagement
agility efficiency

1890+
stores launch
1970s
home shopping
prospect prediction
1980s
credit scoring
risk prediction
telephone ordering
@ChandanRajah

@ChandanRajah
2003-07
Integration and
consolidation
2007-12
Catalogue to
e-tail capabilities
2013 onwards
Very - explosive
growth +20%
SURVIVAL-LED BUSINESS-LED CUSTOMER-LED
TRANSFORM
A CATALOGUE
BUISINESS INTO
A WORLD CLASS
DIGTIAL RETAILER
100%
digital
our transformation

@ChandanRajah
last words of wisdom
time value of data knowledge is power
not all road lead to rome i am an individual

@ChandanRajah
THANK YOU
Chandan Rajah
Head of Group Analytics

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BDW17 London - Rita Simoes, Boehringer Ingelheim - Big Data in Pharma: Sittin...

Big Data Week

As far as data is concerned, Pharmaceutical Companies have always been clear-sighted and assertive on what insights to get from it, how, and what to do about it. And then the Big Data Era came in, with its frantic pace, transforming multiple industries all around but, for a number of reasons (privacy and data protection issues on top but not alone) keeping the Pharma Industry behind. How to run the extra mile to keep up with the powerful changes Big Data brings along has become a major concern. Strategic opportunities seem to be around the corner. Is the time to bridge gaps finally here?

BDW17 London - Mick Ridley, Exterion Media & Dale Campbell , TfL - Transformi...

Big Data Week

Hello London, the ground-breaking media partnership between Transport for London (TfL) and Exterion Media, gives new opportunities for brands to talk to the London audience in innovative ways and generates vital revenue for London’s transport network. TfL and Exterion have been working together in the Hello London partnership for a year. Part of the collaboration was around the utilisation of data collected by TfL to better inform advertising investment decisions. This has led to ground-breaking work in the Out-of-Home advertising sector and the first example of this is Taps Segmentation. Developed by the TfL Data Science team, it allows Exterion to understand demographic patterns at stations based on aggregated contactless and Oyster card usage. This de-personalised data can be analysed for different times of the day and is a game changer – allowing Exterion to rethink how both their classic and digital inventory can be packaged and tailored specifically for clients. The presentation will cover how TfL and Exterion have collaborated, the approach used by TfL and how Exterion are using it to generate revenue which is reinvested in the transport network.

BDW17 London - Abed Ajraou - First Utility - Putting Data Science in your Bus...

Big Data Week

Data Science is now well established in our businesses, and everyone considers data as a key asset and critical for our competitiveness. However, Data Science is not easy to manage, very often projects failed and the investment made is not seeing as profitable. The aim of this talk is to share the knowledge in different areas: * avoid classical mistakes in Data Science * use the right Big Data technology * apply the right methodology * make the Data Science team more efficient

BDW17 London - Steve Bradbury - GRSC - Making Sense of the Chaos of Data

Big Data Week

BDW17 London - Andy Boura - Thomson Reuters - Does Big Data Have to Mean Big ...

Big Data Week

The document discusses some of the risks associated with big data, including the risk of data breaches getting more costly as data volumes and repositories increase. It notes that smaller breaches involving 10,000 to 100,000 records on average cost hundreds per record, while mega-breaches of millions of records can cost billions and be in the range of pounds per record. The main sources of risk are identified as user error, system glitches, and attacks, with malicious attacks being the costliest. It provides some recommendations around applying security controls like access management and automation while also considering dependencies and maintaining good data hygiene.

BDW17 London - Tom Woolrich, Financial Times - What Does Big Data Mean for th...

Big Data Week

BDW17 London - Andrew Fryer, Microsoft - Everybody Needs a Bit of Science in ...

Big Data Week

BDW16 London - Alex Bordei, Bigstep - Building Data Labs in the Cloud

Big Data Week

Building Data Labs in the Cloud summarizes how to build data labs in the cloud by connecting on-premise services through VPN or targeted firewalls, integrating identity services between on-premise and cloud realms, enabling single sign-on with two-factor authentication, using encryption with cloud or on-premise HSMs, leveraging Spark for data science, SQL, ETL, machine learning and graph processing, adopting a multi-context architecture for maintenance and efficiency, and ensuring real-time systems provide performance, stability, serviceability and fault tolerance.

BDW16 London - William Vambenepe, Google - 3rd Generation Data Platform

Big Data Week

1. The document discusses Google Cloud's 3rd generation data platform and services for managing large-scale data and analytics workloads. It focuses on managed services that allow users to focus on insights rather than infrastructure maintenance. 2. The platform includes services for data ingestion, processing, storage and analytics including Cloud Pub/Sub, Dataflow, BigQuery, Dataproc, Bigtable and Cloud Storage. It aims to provide a serverless platform with auto-optimized usage and pay per use pricing model. 3. Over 15 years Google has developed technologies for tackling big data problems including papers, open source projects and cloud products. Core components of their data platform are discussed including the Beam programming model and Dataflow for unified

BDW16 London - Scott Krueger, skyscanner - Does More Data Mean Better Decisio...

Big Data Week

We have seen vast improvements to data collection, storage, processing and transport in recent years. An increasing number of networked devices are emitting data and all of us are preparing to handle this wave of valuable data. Have we, as data professionals, been too focused on the technical challenges and analytical results? What about the data quality? Are we confident about it? How can we be sure we are making good decisions? We need to revisit methods of assessing data quality on our modernized data platforms. The quality of our decision making depends on it.

BDW16 London - John Callan, Boxever - Data and Analytics - The Fuel Your Bran...

Big Data Week

Unsuccessful marketing campaigns are leaving customers disgruntled, making them 40% less likely to return. Companies are casting aside useful data that can provide further insights into better products/better connections with customers. John Callan, VP of Marketing at Boxever will discuss how AI can change how businesses predict trends, reduce risks, and improve efficiency. Audience will: Gain expert-level understanding of data and machine learning that’s used in today’s market Identify successful ways companies use machine learning to target customers with personalized content Learn from major airlines use-cases to skillfully target customers and show them exactly what they want to see.

BDW16 London - John Belchamber, Telefonica - New Data, New Strategies, New Op...

Big Data Week

Through the experiences of supporting a Multi-Country roll out using data to drive more effective Network capability, we will explain how we have: Created new internal capability to support local countries, developed skill sets in the country and provided technical infrastucture, algorithms and visualisations to drive the data culture and big data strategies across Telefonica business units. Through this framework, we will explain how to blend technical and business needs to maximise the benefits and drive better business performance.

BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...

Big Data Week

The Basel Committee on Banking Supervision (BCBS) and local regulators has been focussed on making banks more safe and resilient. A whole raft of new capital charges and constraints on liquidity and leverage have been introduced: Basel II.5, Basel III, Dodd-Frank, FRTB (“Basel IV”), etc. These have significantly increased the risk data management capabilities banks must have—capabilities that only big data tools can provide. This talk will cover the challenges of building a position-aware risk management platform that properly aggregates all intra-day trading activity, monitors exposures and risk. The fast data stack can help banks create such a platform and provide a robust foundation to achieve compliance and, ultimately a significant competitive edge by making efficient use of capital.

BDW16 London - Jonny Voon, Innovate UK - Smart Cities and the Buzz Word Bingo

Big Data Week

BDW16 London - Marius Boeru, Bigstep - How to Automate Big Data with Ansible

Big Data Week

BDW16 London - Josh Partridge, Shazam - How Labels, Radio Stations and Brand...

Big Data Week

“At Shazam, we think data can be beautiful and stunningly inspiring. The pictures we paint with our data tell stories about changing culture, tastes, and shared discoveries. A truly great new song can sweep across the globe in a wave of Shazams that transcends politics, language, or religion”, Greg Glanday, Chief Revenue Officer at Shazam. This presentation will offer the audience a few examples of how they can use the data from Shazam to get fantastic insight into the consumers` preferences, and how to take that insight and apply it to a brand. Giving 3 or 4 great examples of what we do at Shazam, anyone in the audience can understand what this data means, really see this data and then be able to leverage it to make smart marketing decisions. Main takeaway: a clear understanding of what Shazam data is and how brands can use it.

BDW16 London - Wael Elrifai, Pentaho - Big Data-Driven Innovatiom

Big Data Week

This presentation will explore data gathering techniques, tools, and analysis processes in the business innovation process. By way of example, the presentation will outline the stages of planning, designing, and delivering behind one of today’s most popular business innovation use cases for IoT – a predictive maintenance system. It will also reveal the different areas in which businesses gain value (and cost savings) by automating the processes of data engineering and data discovery.

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