This document summarizes a presentation about using big data. It discusses four customer cases where companies gained insights from big data to improve their businesses. The cases demonstrate how analyzing online customer behavior, social media sentiment, cross-promotion affinity, and social media chatter can provide benefits. Key learnings are to start experimenting with data, involve the right people and processes, and create the right flexible architecture. The presentation encourages companies to just start using their data.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
The document discusses becoming a data-driven company. It outlines the agenda which includes an introduction to Mammoth Data, definitions of big data and new media, industry use cases, and how to become data-driven. It describes challenges such as tradition and disparate data sources that companies face in becoming data-driven. Reasons for overcoming these challenges include cost effectiveness, opportunities for new insights, and competitiveness. The discussion emphasizes the importance of real-time data processing and decision making for new media companies.
How businesses can benefit from privacy preserving synthetic dataBenjamin Nolan
In this webinar we discuss privacy, it's relevance to data science, and how privacy-preserving synthetic data can help organizations build a bridge between compliance and efficient use of data.
The document discusses creating and managing digital assets at scale. It notes that Jeff Hunt is the CEO of Snap36 and talks about creating high quality imagery in large volumes. It also discusses maximizing efficiency through processes like touching assets once and having flexible logistics. The document outlines opportunities for digital assets like augmented reality, 3D models, and leveraging investments through an asset database.
Know where customers fail to convert - Measure your wins using Custom FunnelsTatvic Analytics
If you want to understand your customers’ actual behaviors and remarket to the right audience, Custom Funnels – a Google Analytics 360 feature – are the solution. But are they really useful?
Through this webinar, you’ll find out:
- Why and Where users are failing to convert?
- Can historical data be analyzed using funnels?
- How to analyze custom funnels to discover several remarketing audience segments?
... plus, much more!
Jyot Patel, who leads a team of Google Analytics Consultants at Tatvic, explains in this free webinar, how to understand where potential customers drop-off using visual representations of customers’ journey.
Only 20% of the marketers understand their customers, make sure you’re in that segment!
Watch the webinar here - http://www.tatvic.com/webinar/google-analytics-custom-funnels/
Google Analytics Premium provides marketers with fresh, accurate, and unsampled analytics data to inform strategic decisions. It offers up to 1 billion hits, 3 million rows of unsampled data, 50 custom variables, and 200 dimensions to track customer behavior. Premium accounts guarantee 99.9% uptime and include a dedicated account manager, live 24/7 support, and access to new training.
Datalicious Google Analytics Premium Reseller InformationDatalicious
Datalicious is now a Google Analytics Premium reseller. If you're looking for a premium analytics solutions, talk to Datalicious about Google Analytics Premium.
Connotate provides automated web data extraction to help companies gather pricing intelligence from online sources. Their solution allows companies to monitor competitor websites daily to obtain timely pricing data at national and local levels. This enables businesses to optimize their own pricing strategies and maximize profits. Connotate's workflow transforms raw web data into clean, consumable formats that can feed into business intelligence applications. They also highlight new items and price changes to deliver just the changes from the previous data set. Case studies showed how this approach helped a retailer and manufacturer make better pricing and product decisions.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
The document discusses becoming a data-driven company. It outlines the agenda which includes an introduction to Mammoth Data, definitions of big data and new media, industry use cases, and how to become data-driven. It describes challenges such as tradition and disparate data sources that companies face in becoming data-driven. Reasons for overcoming these challenges include cost effectiveness, opportunities for new insights, and competitiveness. The discussion emphasizes the importance of real-time data processing and decision making for new media companies.
How businesses can benefit from privacy preserving synthetic dataBenjamin Nolan
In this webinar we discuss privacy, it's relevance to data science, and how privacy-preserving synthetic data can help organizations build a bridge between compliance and efficient use of data.
The document discusses creating and managing digital assets at scale. It notes that Jeff Hunt is the CEO of Snap36 and talks about creating high quality imagery in large volumes. It also discusses maximizing efficiency through processes like touching assets once and having flexible logistics. The document outlines opportunities for digital assets like augmented reality, 3D models, and leveraging investments through an asset database.
Know where customers fail to convert - Measure your wins using Custom FunnelsTatvic Analytics
If you want to understand your customers’ actual behaviors and remarket to the right audience, Custom Funnels – a Google Analytics 360 feature – are the solution. But are they really useful?
Through this webinar, you’ll find out:
- Why and Where users are failing to convert?
- Can historical data be analyzed using funnels?
- How to analyze custom funnels to discover several remarketing audience segments?
... plus, much more!
Jyot Patel, who leads a team of Google Analytics Consultants at Tatvic, explains in this free webinar, how to understand where potential customers drop-off using visual representations of customers’ journey.
Only 20% of the marketers understand their customers, make sure you’re in that segment!
Watch the webinar here - http://www.tatvic.com/webinar/google-analytics-custom-funnels/
Google Analytics Premium provides marketers with fresh, accurate, and unsampled analytics data to inform strategic decisions. It offers up to 1 billion hits, 3 million rows of unsampled data, 50 custom variables, and 200 dimensions to track customer behavior. Premium accounts guarantee 99.9% uptime and include a dedicated account manager, live 24/7 support, and access to new training.
Datalicious Google Analytics Premium Reseller InformationDatalicious
Datalicious is now a Google Analytics Premium reseller. If you're looking for a premium analytics solutions, talk to Datalicious about Google Analytics Premium.
Connotate provides automated web data extraction to help companies gather pricing intelligence from online sources. Their solution allows companies to monitor competitor websites daily to obtain timely pricing data at national and local levels. This enables businesses to optimize their own pricing strategies and maximize profits. Connotate's workflow transforms raw web data into clean, consumable formats that can feed into business intelligence applications. They also highlight new items and price changes to deliver just the changes from the previous data set. Case studies showed how this approach helped a retailer and manufacturer make better pricing and product decisions.
Elaine Ingebritson and her company Innovation 4 help companies improve innovation through assessing people, processes, and culture. Their services include innovation assessments, ideation workshops, integrating strategic planning with innovation, developing market insights, and accelerating cultural changes. They believe innovation can be coached to improve success rates and bring better ideas to markets profitably. Their goal is to uncover resources, explore best practices, and plan a realistic path to innovation excellence for clients.
The document discusses sales or ventes. In 3 sentences or less, it does not provide enough contextual information to construct a meaningful summary. The single word "Ventes" is not enough information to determine the topic, scope, or key details of the content.
ECM CDM Day 2016 - 10 Reasons to upgrade to ConfigMgr Current BranchTim De Keukelaere
The document outlines 10 reasons to upgrade to the Current Branch of Configuration Manager, including a new servicing model that provides continuous updates, improved client management features like client piloting and online status monitoring, support for upgrading site server operating systems in-place, enhanced Windows 10 and Office 365 servicing capabilities, and improved endpoint protection policies and dashboards.
Configuration Manager 2012 High Availability and Disaster RecoveryTim De Keukelaere
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
La mecánica de suelos estudia el comportamiento del suelo bajo cargas, con objetivos como conocer las propiedades del suelo para determinar el tipo de cimentación de una estructura. Los suelos se forman debido a la desintegración mecánica y descomposición química de las rocas por la acción de agentes como el agua y el aire. Existen suelos residuales que se forman en el lugar donde se descomponen las rocas, y suelos transportados que son depositados en otro lugar por el agua, viento o hiel
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a los bancos rusos, la prohibición de la venta de aviones y equipos a Rusia, y sanciones contra funcionarios rusos. Los líderes de la UE esperan que las sanciones aumenten la presión económica sobre Rusia y la disuadan de continuar su agresión contra Ucrania.
The Case for Healthcare Data Literacy: It's Not About Big DataHealth Catalyst
While many people are looking to Big Data to solve a lot of healthcare’s data problems, Big Data won’t offer a lot of solutions for a while to come. For one, healthcare doesn’t have “Big” data; there just isn’t the volume, velocity, or variety seen in other industries such as banking where Big Data has been used successfully. For another, Big Data seems to be the answer to almost every question from cancer to Alzheimer’s, and that’s blinding us to the reality of healthcare analytics. A big way toward answering healthcare’s problems would be to improve data literacy among not only consumers, but physicians and administrators as well. Learning to ask the right questions about the data and learning how to read data correctly will get us further down the road to improvement than the latest buzzword (in this case, “Big Data”) ever will.
Empowering Marketing: Powering the Future of People-Centric Marketing. Presentation by Steve Forbes of Microsoft at the 2015 BMA Carolinas B2B Marketing Conference
Ten years after the term ‘Big Data’ infiltrated the world of marketing, why is it still complex to embed it in the decision-making process? In this webinar, we delve into exploiting data and analytics in favor of your business.
1) The document describes a Client Buying Power solution from Trivia Marketing International that uses predictive modeling to add estimated ICT spending values to client records.
2) It details the processes involved, including data discovery, database marketing, data collection, and predictive modeling to estimate values like hardware, software, services, and telecom spending.
3) Examples from a case study in Belgium show comparisons of Trivia's estimated ICT spending to values from IDC and Gartner, and how the solution can provide insights into share of wallet and segmenting clients.
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...DATAVERSITY
Donna Burbank presented techniques for monetizing data as a strategic asset. She discussed improving core business through optimizing revenue, minimizing costs, and reducing risk. New opportunities include developing products and services like smart metering and selling data sets. Data initiatives can yield substantial benefits; for example, BT Group achieved over $800 million from data quality improvements.
A Win/Win for Your Product: Embedding Analytics for Product SuccessAggregage
Right now, you are wrestling with this very topic. Data. Your product is drowning in data. Your innovative, early adopter type Customers want not only access to it all, but the reporting and analytics capabilities to analyze it all. They know there is gold in that mine. The rest of your Customers crave better reporting. To add to this complex challenge, the opportunity to innovate doesn’t rest silently waiting for you to consider all your options, weigh the pros and cons, and plan the perfect update. Your Sales team is at your door. Your Customers are online with your Customer Success team and considering alternatives. Wait. There is more. What about your data?!?! How can use your Customers’ data to uncover patterns? How can you use measure product usage data to effectively enhance the solutions? How do you balance the precious R&D time to maximize what you can measure for you and your Customers? Do you want to solve valuable data related problems for your Customers? Do you want to compete more effectively? Do you want monetize the data?
This document provides an overview of Snapdeal and Infibeam, two major Indian e-commerce companies. For Snapdeal, it summarizes their business model as a marketplace, growth in revenue from 2012-2014, investments in supply chain and logistics to improve delivery times, and use of social media marketing. For Infibeam, it outlines their hybrid business model involving both direct sales and as a marketplace, profitability achieved in 2012-2013, investments in their own logistics arm and logistics aggregation platform, and social media promotions.
In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists
Build a Foundation for Data Integrity with Analytics AuditingTinuiti
If your data isn’t collected correctly, it will impact everything downstream. Learn the importance of a well-implemented analytics platform and how it can inform your decision making. Discover how Mobius, and partner ObservePoint work together to maintain proactive data integrity.
The document discusses a presentation on data discovery tools and the current market landscape. It summarizes research from Gartner and IDC on trends in business intelligence, analytics platforms, and data discovery vendors. The main points are that data discovery tools are gaining popularity and market share as they are easier for business users to use and implement compared to traditional top-down BI platforms. However, the document notes that ensuring proper governance of data as these bottom-up tools proliferate remains a challenge. It provides an overview of various vendors and market predictions on the growth of data discovery tools.
Elaine Ingebritson and her company Innovation 4 help companies improve innovation through assessing people, processes, and culture. Their services include innovation assessments, ideation workshops, integrating strategic planning with innovation, developing market insights, and accelerating cultural changes. They believe innovation can be coached to improve success rates and bring better ideas to markets profitably. Their goal is to uncover resources, explore best practices, and plan a realistic path to innovation excellence for clients.
The document discusses sales or ventes. In 3 sentences or less, it does not provide enough contextual information to construct a meaningful summary. The single word "Ventes" is not enough information to determine the topic, scope, or key details of the content.
ECM CDM Day 2016 - 10 Reasons to upgrade to ConfigMgr Current BranchTim De Keukelaere
The document outlines 10 reasons to upgrade to the Current Branch of Configuration Manager, including a new servicing model that provides continuous updates, improved client management features like client piloting and online status monitoring, support for upgrading site server operating systems in-place, enhanced Windows 10 and Office 365 servicing capabilities, and improved endpoint protection policies and dashboards.
Configuration Manager 2012 High Availability and Disaster RecoveryTim De Keukelaere
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
La mecánica de suelos estudia el comportamiento del suelo bajo cargas, con objetivos como conocer las propiedades del suelo para determinar el tipo de cimentación de una estructura. Los suelos se forman debido a la desintegración mecánica y descomposición química de las rocas por la acción de agentes como el agua y el aire. Existen suelos residuales que se forman en el lugar donde se descomponen las rocas, y suelos transportados que son depositados en otro lugar por el agua, viento o hiel
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a los bancos rusos, la prohibición de la venta de aviones y equipos a Rusia, y sanciones contra funcionarios rusos. Los líderes de la UE esperan que las sanciones aumenten la presión económica sobre Rusia y la disuadan de continuar su agresión contra Ucrania.
The Case for Healthcare Data Literacy: It's Not About Big DataHealth Catalyst
While many people are looking to Big Data to solve a lot of healthcare’s data problems, Big Data won’t offer a lot of solutions for a while to come. For one, healthcare doesn’t have “Big” data; there just isn’t the volume, velocity, or variety seen in other industries such as banking where Big Data has been used successfully. For another, Big Data seems to be the answer to almost every question from cancer to Alzheimer’s, and that’s blinding us to the reality of healthcare analytics. A big way toward answering healthcare’s problems would be to improve data literacy among not only consumers, but physicians and administrators as well. Learning to ask the right questions about the data and learning how to read data correctly will get us further down the road to improvement than the latest buzzword (in this case, “Big Data”) ever will.
Empowering Marketing: Powering the Future of People-Centric Marketing. Presentation by Steve Forbes of Microsoft at the 2015 BMA Carolinas B2B Marketing Conference
Ten years after the term ‘Big Data’ infiltrated the world of marketing, why is it still complex to embed it in the decision-making process? In this webinar, we delve into exploiting data and analytics in favor of your business.
1) The document describes a Client Buying Power solution from Trivia Marketing International that uses predictive modeling to add estimated ICT spending values to client records.
2) It details the processes involved, including data discovery, database marketing, data collection, and predictive modeling to estimate values like hardware, software, services, and telecom spending.
3) Examples from a case study in Belgium show comparisons of Trivia's estimated ICT spending to values from IDC and Gartner, and how the solution can provide insights into share of wallet and segmenting clients.
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...DATAVERSITY
Donna Burbank presented techniques for monetizing data as a strategic asset. She discussed improving core business through optimizing revenue, minimizing costs, and reducing risk. New opportunities include developing products and services like smart metering and selling data sets. Data initiatives can yield substantial benefits; for example, BT Group achieved over $800 million from data quality improvements.
A Win/Win for Your Product: Embedding Analytics for Product SuccessAggregage
Right now, you are wrestling with this very topic. Data. Your product is drowning in data. Your innovative, early adopter type Customers want not only access to it all, but the reporting and analytics capabilities to analyze it all. They know there is gold in that mine. The rest of your Customers crave better reporting. To add to this complex challenge, the opportunity to innovate doesn’t rest silently waiting for you to consider all your options, weigh the pros and cons, and plan the perfect update. Your Sales team is at your door. Your Customers are online with your Customer Success team and considering alternatives. Wait. There is more. What about your data?!?! How can use your Customers’ data to uncover patterns? How can you use measure product usage data to effectively enhance the solutions? How do you balance the precious R&D time to maximize what you can measure for you and your Customers? Do you want to solve valuable data related problems for your Customers? Do you want to compete more effectively? Do you want monetize the data?
This document provides an overview of Snapdeal and Infibeam, two major Indian e-commerce companies. For Snapdeal, it summarizes their business model as a marketplace, growth in revenue from 2012-2014, investments in supply chain and logistics to improve delivery times, and use of social media marketing. For Infibeam, it outlines their hybrid business model involving both direct sales and as a marketplace, profitability achieved in 2012-2013, investments in their own logistics arm and logistics aggregation platform, and social media promotions.
In the field of business and management, data science is transforming how companies organize, operate, manage talent, and create value. In this talk, David will share his experience as a data scientist and consultant on data science in business – from business experimentation to planning process optimization. He will also reflect on the career progress as a data scientist and provide suggestions to young data scientists
Build a Foundation for Data Integrity with Analytics AuditingTinuiti
If your data isn’t collected correctly, it will impact everything downstream. Learn the importance of a well-implemented analytics platform and how it can inform your decision making. Discover how Mobius, and partner ObservePoint work together to maintain proactive data integrity.
The document discusses a presentation on data discovery tools and the current market landscape. It summarizes research from Gartner and IDC on trends in business intelligence, analytics platforms, and data discovery vendors. The main points are that data discovery tools are gaining popularity and market share as they are easier for business users to use and implement compared to traditional top-down BI platforms. However, the document notes that ensuring proper governance of data as these bottom-up tools proliferate remains a challenge. It provides an overview of various vendors and market predictions on the growth of data discovery tools.
New revenues through BIG DATA?
How to actually get started &
discover your options.
This presentation was held by SCHICKLER Consultant Florian Hollender at the World Publishing Expo 2014 in Amsterdam
Empowering Retailers with Customer InsightShiSh Shridhar
Retailers generate petabytes of data from various devices that can provide customer insights. Analyzing both internal and external open data sources like social media can help retailers better understand customers and their shopping behaviors. Correlating sales data with life events like pregnancies found in birth registries allowed one retailer to predict a customer's pregnancy before even her father knew.
Daily Measurement: Marketing's New Secret WeaponOrigami Logic
How Continuous Analysis of Marketing Signals Drives Business Outcomes:
The real-time flow of digital signals opens the doors for modern marketers to measure, analyze and optimize campaigns continuously. However, marketing organizations today struggle with aligning resources, data, and technology to enable agile measurement and decisioning at scale, resulting in missed opportunities to interact with customers at the moment of need.
Join special guest, Tina Moffett, Senior Analyst at Forrester Research, along with Scott Jones, VP Marketing at Origami Logic, as they provide guidance on how to create an agile data-driven organization, leverage technology to automate and scale measurement, and enable your team to make the right decisions at the right moment using signals that are up to date, accurate, and in context.
In this webinar, you’ll get: 1) Detailed trends on the adoption of marketing measurement , 2) Guidance on how to identify people, processes, and technology necessary to enable agile measurement at scale, and 3) A to-do checklist for becoming an agile data-driven organization.
Big data has positively impacted marketing by allowing companies to better understand customers. Companies use big data analytics from sources like purchase histories, social media, and online activities to identify customer preferences and develop targeted products and services. However, concerns exist around customer privacy as companies collect and store vast amounts of personal data. Case studies of Amazon, Netflix, and Target demonstrate how each uses big data to personalize the customer experience, though privacy issues remain.
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
Leveraging Media Mix Modeling to Drive Performance Marketing ResultsTinuiti
Join our leading industry experts as they discuss how media mix modeling can help you identify how each of your media channels are working to achieve your business goals and enable you to have a holistic view of your performance marketing.
This document is a presentation on big data given by Martyn Crew, founder and CEO of Catch the Big Data Wave. The presentation defines big data, discusses why it is important to customers, outlines the big data ecosystem and options available, and who is making money from big data currently. The agenda includes defining the 3Vs of big data, examining big data's importance to customers, reviewing the big data ecosystem and options, identifying sectors making money from big data, and addressing that big data solutions can vary in scale and need.
This document discusses how big data is transforming the retail industry and how companies can leverage big data analytics. It provides an overview of how data has grown exponentially in recent decades due to the rise of technologies like mobile, social media, and cloud computing. The document then discusses how SAP provides big data analytics solutions tailored for retail businesses to help them gain insights from all this data to improve areas like customer experience, promotions, and sales effectiveness. It also provides examples of how specific retail customers have used SAP's big data solutions to address challenges and drive business value.
Behavioral analysis provides insights into how website visitors interact with a brand online. It allows companies to understand visitor behaviors and craft data-driven strategies to support business goals. Behavioral insights can be derived from web analytics data to inform just-in-time optimizations and strategies without requiring complex predictive models.
As business owners and execs, as product managers and sales people, we are surrounded by big data. Yet, we have big questions about our customers that we still don't have the answers to. We know a lot about what people are doing but not really the underlying reasons why. To get at that why you need to leverage the power of SMALL data.
Similar to (Big)Data_just use it 30 sep2015_Frank_Vullers (20)
It’s no secret that the marketing landscape is growing increasingly complex, with numerous channels, privacy regulations, signal loss, and more. One of the biggest problems facing marketers today is that they’re experiencing data deluge and data drought simultaneously.
Bliss Point by Tinuti addresses these challenges by providing a single, user-friendly platform for measuring what marketers previously struggled to measure. With Bliss Point, you can move beyond simply validating past actions and instead use measurement to guide real-time decision-making on what should happen next.
Join our product experts for a live demonstration of Bliss Point. Discover how it can empower your brand with the tools and insights needed to optimize each channel, across your entire media mix, and your overall brand performance.
1. 1 (Big) Data: just use it. BigData Expo 30 september 2015
(Big) Data : Just use it !
Frank Vullers
Teradata
2. 2 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Introduction
• Senior Industry Consultant (Retail)
• Helping Retailers to get value out of their data
• 15+ years experience in Retail / FMCG on edge
Business & IT
• International Experience (Germany, Austria,
Sweden, UK, Greece, Belgium, Russia, China and
Philippines)
• Projects done in area’s
> Business Discovery
> Business cases/ROI
> ERP - SCM
> Category Management
> Analytics
• Married, 2 kids
• Hobbies: Running, playing Saxophone
Frank Vullers
Providing the world’s best analytic data solutions to
drive competitive advantage for our customers
Mission Teradata
Get the most value from data
3. 3 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Agenda
Setting the scene Customer cases
Key Learning's Getting there
4. 4 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
3100-3000 BC
Big data is not new
1986
5. 5 (Big) Data: just use it. BigData Expo 30 september 2015
Big
Data
Explosion
Big Data Market Trends & Projections
20%
% by which org’s
leveraging modern info
management systems
outperform peers by
2015
1 Zettabyte (ZB)
=
1 Billion TBs
15x
growth rate of
machine
generated data
by 2020
The US has 1/3 of the world’s data
Big Data is 1 of 5 US GDP Game Changers $325
billion incremental annual GDP from big data analytics in retail
and manufacturing by 2020
6. 6 (Big) Data: just use it. BigData Expo 30 september 2015
12
88
10
90
0
10
20
30
40
50
60
70
80
90
100
Hard Facts Gut Feeling
1998
2014
How do executive make decisions* ?
* Source: 1998 Appect Consultiting, 2014 Economist Intelligence Unit
It is not the data but the attitude
%
7. 7 (Big) Data: just use it. BigData Expo 30 september 2015
Traditional BI versus Discovery Analytics
Business Determine
Questions to Ask
IT Structure Data to
Answer the
Questions
Describe Outcomes
What’s Next?
TRADITIONAL BI PROCESS (Outcome Driven)
“Capture only what’s needed”
Teradata User Group Moscow Nov 20, 2014
8. 8 (Big) Data: just use it. BigData Expo 30 september 2015
Traditional BI versus Discovery Analytics
Business Determine
Questions to Ask
IT Structure Data to
Answer the
Questions
Describe Outcomes
What’s Next?
TRADITIONAL BI PROCESS (Outcome Driven)
DISCOVERY ANALYTICS (Process Driven)
Business Explores
Data for Questions
Worth Answering
IT Delivers a Platform
for Storing, Refining,
and Analyzing All
Data Sources
Explain Causes
Decisions/
Action Plans
“Capture only what’s needed”
“Capture in case it’s needed”
Teradata User Group Moscow Nov 20, 2014
9. 9 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Agenda
Setting the scene Customer cases
Key Learning's Getting there
10. 10 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Understand customer interaction with their
website, the journey, activity and behavior
demonstrated
Situation and Challenge
Case 1: Analyzing the online shopping behaviour
11. 11 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Understand customer interaction with their
website, the journey, activity and behavior
demonstrated
Situation and Challenge
Case 1: Analyzing the online shopping behaviour
• Identifies change address, abandoned
basket; checkout; start browsing etc
• Identified an error page impact
• Explore the most common path
Insight Gained, Understand
12. 12 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Case 1: Analyzing the online shopping behaviour
• Amend errors leading to broken journeys
• Emailed the abondon (basket) customers
• Call customer with extra service offerings
Actions Taken
• Improved sales (improved understanding of
online buyer behaviour
• Greater insight into sales performance
• Savings on Marketing costs
Business Benefits
13. 13 (Big) Data: just use it. BigData Expo 30 september 2015
Convert repeat browsers into orderers
Product message aligned
with browsing behaviour
Affordability message dynamically
populated according to customer
segment
Customer browses same
product x times in y
days
Check shows no
subsequent purchase on
or offline
Pick product and
appropriate affordability
message
Customer receives
trigger campaign 6 days
after repeat browse
Banners = opportunity to
dynamically populate
£2.58 inc
sales per
head vs
£0.20
average
Automated Rules
14. 14 (Big) Data: just use it. BigData Expo 30 september 2015
Calculate Marketing attribution
CUST. ID DATE & TIME CHANNEL MARKETING CAMPAIGN
1 12/08/2014 10:04 Organic Search -
1 14/08/2014 16:57 Direct Load -
1 15/08/2014 17:07 PPC Summer Shoe Style
1 18/08/2014 17:37 Email Shoe Dress Combination
Campaign
1 22/08/2014 21:00 PPC Evening/Fancy Dress
1 22/08/2014 21:33 Referral VoucherCodes: 10% Off
15. 15 (Big) Data: just use it. BigData Expo 30 september 2015
Calculate Marketing attribution
PPC
Email
Email
Email
PPC
PPC
Email
Direct Load
£1.00 £1.00
£1.50
£12
£2.50
£22
£25
£35
£100
Customer Journey Leading to Order
ATTRIBUTIONREVENUE
0 10 20 30
[Email] Personalised
[Email] Segment
[PPC] Google
[PPC] Bing
[Affiliate] VoucherCodes
[Affiliate] Style Blog
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16. 16 (Big) Data: just use it. BigData Expo 30 september 2015
Abandoned basket follow up
Customer adds to
basket but does not
complete order
Customer does not
subsequently order on
any channel
Appropriate
recommendations
selected to accompany
abandoned product
Customer receives
trigger campaign 6 days
after purchase
Abandoned product and
recommendations
dynamically populated
Future enhancements to
add ratings, prices and
warranty info
£2.90 inc
sales per
head vs
£0.20
average
Automated Rules
17. 17 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• understand sentiment of posts
• able to respond quickly
• challenges of ‘super connected’ influencers
Situation and Challenge
Case 2: Social Sentiment & target social influencers
• Extract sentiment
(products/deliveries/marketing)
• Incorporate reviews, call center , emails etc
• Understand social pairs,influence and virality
Insight Gained, Understand
18. 18 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Case 2: Social Sentiment & target social influencers
• Effect product recalls with greater speed
• Implement changes to product features
• Drive Viral campaigns to drive sales
Actions Taken Business Benefits
• Increased profit
• Reduction in warranty/recall exposure
19. 19 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Identify where consumers stick with or churn
during promotions
Situation and Challenge
Case 3: Cross Promotion Affinity Analysis
20. 20 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Identify where consumers stick with or churn
during promotions
Situation and Challenge
Case 3: Cross Promotion Affinity Analysis
• Identify affinity between category X and
other products
• Determine which customers stick or switch
Insight Gained, Understand
21. 21 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Case 3: Cross Promotion Affinity Analysis
$
22. 22 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Merchandise based on promotion affinities
• Develop linked promotions based upon aff.
• Review Promotional strategy
Actions Taken
• Real insight into customer shopping habits
• Ability to adjust promotional campaigns
Case 3: Cross Promotion Affinity Analysis
Business Benefits
23. 23 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Japanese company sends out over 200
million food, catalogs each year
• Wanted to extend knowledge of customers
Situation and Challenge
Case 4: Send catalogs based upon social chatter
24. 24 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
• Japanese company sends out over 200
million food, catalogs each year
• Wanted to extend knowledge of customers
Situation and Challenge
Case 4: Send catalogs based upon social chatter
• Use Facebook to generate variables
• Segment customers
• Find out preferences (friends)
Insight Gained, Understand
25. 25 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Case 4: Send catalogs based upon social chatter
• Customize page content for each customer.
• The catalogs based on Facebook chatter
• Gifts to Friends of FB fans
Actions Taken
• Able to target 16% of their consumer
Facebook Fans in the Pet Categories
• Nissen valued customers who buy once a
year and say positive things
Business Benefits
26. 26 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Agenda
Setting the scene Customer cases
Key Learning's Getting there
27. 27 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Shop Direct learning Big Data adoptions*
• Get understanding of value and benefits
• Improve data literacy and Utilize insights
Business
• Fully engage IT and architecture department
• Ensure the solution is scalable, agile and adaptable
IT
* Casestudy by MWD advisors
28. 28 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Supervalu learning Big Data adoptions*
• Utilize the internal rock stars
• Understand existing skills
• Senior leadership
• Teach new paradigm
• Fast and Simple and Easy
• Easy to collaborate
• Integrate into existing world
• Question everything
People
Process
• Right tool
• No one size fits all
• Connect existing tool
• Automate acces to data
Technology
• Statistical
• Innovative problems
• Innovative solutions
Mindset
* Partners userconference 2012
29. 29 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Agenda
Setting the scene Customer cases
Key Learning's Getting there
30. 30 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Big Data Strategy ? Don’t do it: Experiment *
• Look outside
• Agree inside
Get Inspired
• Start with skills
• Try Techniques and Technologies
• Test and learn
Get Going
• Create the right Architecture
• Link for Leverage
• Take a bimodal approach
Get Organized
* Gartner Bigdata strategy get going september 2015
31. 31 (Big) Data: just use it. BigData Expo 30 september 2015(Big) Data: just use it. BigData Expo 30 september 2015
Agenda
Setting the scene Customer cases
Key Learning's Getting there
32. 32 (Big) Data: just use it. BigData Expo 30 september 2015
Category Mnagement supported by Detailed data
Frank Vullers
Senior Industry Consultant Retail
Teradata (stand 17)
+31683946122
https://twitter.com/FrankVullers
Questions?Thanks for your Attention