The document discusses several topics related to business analytics and optimization. It recommends (1) looking at analytics strategies to re-evaluate business strategies and gain insights, (2) reducing CAPEX and increasing OPEX to improve cash flow, and (3) adopting ready-to-use frameworks for use cases like predictive maintenance and customer analytics.
Predictive Analytics for Customer Targeting: A Telemarketing Banking ExamplePedro Ecija Serrano
A comparison of classification methods to predict buyers in banking telemarketing. Overcoming class imbalance and gaining insight on what customers are likely to buy a particular financial product.
The advent of ‘big data’ has completely changed the way businesses can harness the information about customers to make powerful business decisions. Data could be of any type – campaign information, customer demographics, individual transaction behavior, interactions on social networks, web usage, or satisfaction surveys etc. BRIDGEi2i has the ability and experience to mine this wealth of unstructured and structured information to help businesses identify prospects, target them through the right channel, maximize cross sell and up-sell opportunities and thereby enhance the life time value of customer relationships. To know more visit: http://www.bridgei2i.com/customer-intelligence.html
Analytics thought-leader Thomas Davenport and leading industry experts discuss how—and why—organizations like yours use business analytics to empower more timely and precise decisions by bringing new insights into daily operations.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 10:30 - 11:00
Speaker: Anna Matty
Organisation: Experian
About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is.
Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Predictive Analytics for Customer Targeting: A Telemarketing Banking ExamplePedro Ecija Serrano
A comparison of classification methods to predict buyers in banking telemarketing. Overcoming class imbalance and gaining insight on what customers are likely to buy a particular financial product.
The advent of ‘big data’ has completely changed the way businesses can harness the information about customers to make powerful business decisions. Data could be of any type – campaign information, customer demographics, individual transaction behavior, interactions on social networks, web usage, or satisfaction surveys etc. BRIDGEi2i has the ability and experience to mine this wealth of unstructured and structured information to help businesses identify prospects, target them through the right channel, maximize cross sell and up-sell opportunities and thereby enhance the life time value of customer relationships. To know more visit: http://www.bridgei2i.com/customer-intelligence.html
Analytics thought-leader Thomas Davenport and leading industry experts discuss how—and why—organizations like yours use business analytics to empower more timely and precise decisions by bringing new insights into daily operations.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 10:30 - 11:00
Speaker: Anna Matty
Organisation: Experian
About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is.
Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for ConnexionAsia’s health insurance product. This product provides a one-step health service for employers that enables employees to choose from multiple providers and make tradeoffs between different types of insurance coverage and wellness programs. Employees can use their health care benefits for wellness programs (e.g., fitness) and other preventative health care in addition to the traditional health care insurance. By enabling employees to be more proactive in their health care, ConnexionAsia’s health insurance product can provide employers with healthier employees, reduced sick leave, and lower health care costs in the long run. It makes money through its wellness products, consultation services, and the sale of data.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
This talk was done at Business Analytics Innovation Summit 2015 @ Vegas on Jan 22nd. In this talk, we show problems with distributed Insight generation and the resultant problems. We recommend an Outcome Focused Framework for enabling Data Instrumentation, Data Management, Insight Generation and Open Analytics Platform.
Video used: https://www.youtube.com/channel/UCODSVC0WQws607clv0k8mQA/videos
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for ConnexionAsia’s health insurance product. This product provides a one-step health service for employers that enables employees to choose from multiple providers and make tradeoffs between different types of insurance coverage and wellness programs. Employees can use their health care benefits for wellness programs (e.g., fitness) and other preventative health care in addition to the traditional health care insurance. By enabling employees to be more proactive in their health care, ConnexionAsia’s health insurance product can provide employers with healthier employees, reduced sick leave, and lower health care costs in the long run. It makes money through its wellness products, consultation services, and the sale of data.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
This talk was done at Business Analytics Innovation Summit 2015 @ Vegas on Jan 22nd. In this talk, we show problems with distributed Insight generation and the resultant problems. We recommend an Outcome Focused Framework for enabling Data Instrumentation, Data Management, Insight Generation and Open Analytics Platform.
Video used: https://www.youtube.com/channel/UCODSVC0WQws607clv0k8mQA/videos
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Analytics & Data Strategy 101 by Deko DimeskiDeko Dimeski
- Understand why each company needs solid analytics and data strategy & capabilities
- Typical data problems each company experiences, regardless of the scale
- Core competences and roles
- Analytics products and artefacts
- Analytics Usecases
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Summer Shorts: Using Predictive Analytics For Data-Driven Decisionsibi
Predictive analytics has gained a lot of attention in recent years, enabling organizations to make better, faster, and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks, and improve processes.
See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24374#sthash.FoJkEyuL.dpuf
In this presentation Mark T. Warren (Director of Decision Science) talks about Big Data with Barclaycard, the foundations they built for it and their goals in the long term for it. Warren also discusses Barclaycard's learnings from building the foundation and how they're using these learnings and coping with market change and other challenges that can affect their long term goals.
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
Minggu-02 Big Data Business Model Maturity Index.pdfazkamuhammad11
Dalam rangka menyambur bisnis big data yang bisa dibelikan sebagai ambang penerapan sinergi yang memungkinkan big data berkecimpung pada brand clothing supermakepeace akan memberikan kunci sukses yang sangat ringan kepada rekan rekan yang mau terlibat terhadap brand supermakepeace ini, dengan itu kita bergerak secara konsiten=n denga brand cothing supermakepeace akan membuat kita masing2 berkecimpung di mirasa dan sekarang saya mengerjakan yang seharusnya tidak saya kerjakan karena dengan ini hidup terasa sangat hanya dengan mengantuk dengqan mengetik agar menemukan sedikit fb ads yang melanda kasih sayag dan dengan itu memvuat sayang;; dari pemerintah menjadi perintah alah siah botaaytn aaada acara berlingan iasng mata yang menebark
Business analytics course with NSE India certificationIMS Proschool
IMS Proschool offers Business Analytics course & training in Mumbai,Pune, Thane, Bengaluru, Delhi, Thane, Hyderabad, Chennai, Kolkata, Ahmedabad & Online virtual classes with exam certification from NSE India (NCFM).
Business analytics course with NSE India CertificationIMS Proschool
IMS Proschool offers Business Analytics course & training in Mumbai, Pune, Thane, Bengaluru, Delhi, Thane, Hyderabad, Chennai, Kolkata,Ahmedabad & Online virtual classes with exam certification from NSE India (NCFM).
UX STRAT 2018 | Flying Blind On a Rocket Cycle: Pioneering Experience Centere...Joe Lamantia
After Oracle acquired Endeca, we all had to figure out what to do next. This case study describes building a learning-driven strategy capability to guide an adventurous product development group focused on the new domains of big data analytics and machine intelligence. I’ll share the outcomes of our efforts to launch new products chartered directly around customer experience value; outline the methods, tools, and perspectives that powered product discovery and strategic planning; share a framework and patterns for identifying and understanding emerging domains; and review the application of this toolkit to new situations.
Similar to Use of Analytics to recover from COVID19 hit economy (20)
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
3. Factors Surrounding everyone
Expense
cut
• How do I bring
down
Marketing cost
–OPEX
Focus on
Profitability
• Revenue
growth can
wait
Drive
Business
Insights
• Look into your
data – search
for patterns
Economic Slump
4. Challenges staring at us
How to use social media to talk to current customers
Controlling manufacturing SKUs and selecting the right SKUs
Effective and Optimized delivery
Getting the maximum talent out of the workers.
Effective use of marketing budget
Effective use of opex.
5. Barriers with existing Business Architectures
Longer time for analytical use case qualification
Technical expertise to architecture qualification
Too many technologies to chose from
System Legacy of years
Data not available at the right time and place
Realtime availability of data
Longer cycle to visualize business and operations
6. • Look at the right Analytics strategy which would help re evaluate your
business strategy by utilizing insights
• Reduce your CAPEX, invest in OPEX – Increase cashflow
• Adopt ready to use deployment frameworks for use cases like :
• Healthcare analytics
• Customer 360
• Churn Prediction
• IOT Hub and analytics
• Predictive Maintenance
• Self service Dashboards for quick visualization and insights
• Better insights = Quick Decisions
Look for more value- Fighting COVID-19 Slowdown
14. Enabling data insights for any business
• Customer profitability analysis
• Personalize promotions and offers
• Proactively reduce customer churn
• Predict customer buying behaviour
• Gain actionable insights for better
sales and opportunity leads
• Holistic view of your ideal
customers’ purchasing behaviors
and patterns.
• Cross-selling and up-selling
opportunity identification
• Customer loyalty
• Predictive Maintenance
• Anomaly detection
• Product Manufacturing
Optimization
• Forecast demands for better
pricing and inventory
• Fraud Analytics
• Logistics route Optimization
Enabling Customer Sales Enabling Operations
15. Engaging your customer
Understanding the Analytics adoption process
Investigate Discover Plan Implement
Understand
business model
Market & technology
trends
Building knowledge
Define problem statement
Identify business use cases
Gather requirements
Develop success metrics
Identify high value,
high visibility use cases
Develop Data flow
reference architecture, scope
and pilot project
Develop expected ROI
Pilot the POC
Promote and extend the
POC result for other projects
Extend and enhance more
advanced analytic
capabilities
Devise a right engagement strategy based on end user Big Data adoption phase
16. The Journey – Laying the Foundation
• What are the key variables in our data, is it complete,
where are the gaps?
• Who are our customers, how do they shop, are they
engaged in our program
• What value is our program driving
• Who are our valuable customers, what is their potential?
• What do they buy and which direct marketing channels do
they use?
• What is our customers lifecycle
• how do we manage customers through their journey
• How do we priorities our marketing budget?
• Program dashboards and Post Campaign Analysis
• Loyalty Engagement Score
• Data driven decisions on Category,
Product and Promotions
Build the Data
Structure
1
Profiling
Segmentation
Personalization
Lifetime Value
2
Data
Monetization
3
17. Low SOW / High
Yield
High SOW / High
Yield
Low SOW / Low
Yield
High SOW / Low
Yield
Acquisition On-board & Lock In
Cross Sell
Personalisation Reward and Retain
Spend Stretch
Time
Focus our marketing
budget – Maximise ROI
Bespoke
Marketing
using
Behavioural
Segmentation
Customer Value Model
Needs Based Segmentation – 1-2-1 marketing
Churn Model
Lapsed - Reactivate
Highly Engaged – Reached full value potential
IMPLEMENT SEGMENTATION TO DRIVE PERSONALISED MARKETING CAMPAIGNS AND
STRATEGY
Automate Intelligent Segmentation
18. The Analytics Journey
Data Warehouses Data Lakes Machine Learning
Analysts Data Scientists
Centralized Cloud Multi-cloud
WORKLOADS
DEPLOYMENT
MODELS
AI
Targeted Offers
Fraud Detection
Smart Cars
Containerized
Targeted Offers
Security
Predictive
Maintenance
Security
19. Look at a single Platform to kickstart Analytics
Data Discovery
Data Preparation
Data Transformations
Data Analytics
Data Analyst – BI Team
This is great, I can find everything
here, no need to call IT J
20. Data is a resource as well
Hardware
DatawareMiddleware
Software
21. Dataware: Turning Data into a Manageable Resource
• Data Containerization
• Global Multi-Tenancy
• Data Portability
• Resource Isolation
• Workload independence
• Security
• Global Web-Scale Deployments
• Performance
• Universal Access
25. We are at an Inflection Point in Healthcare - Trends
Source: United Nations “Population Aging 2002”
25-
29%
30+ %
20-
24%
10-
19%
0-9%
% of population over
age 60
2050
WW Average Age 60+: 21%
Healthcare Costs are
Rising
Significant % of GDP
Global Aging
Average age 60+:
growing from 10% to
21% by 2050
Healthcare Big Data
Value
300 billion (USD) in
value/year
~0.7% annual
productivity growth*
25
26. Healthcare Data Silos
Clinical Data:
• EMR
• Medical
Images
Patient
Sentiment:
• Patient Behavior
• Social Networking
Claims Data:
• Utilization of
Care
• Cost Estimates
Life Sciences
Data:
• Clinical Trials
• High Throughput
Screening (HTS)
Libraries
McKinsey Global Institute Analysis
27. Insights for Healthcare
• Healthcare Examples:
• Provider: Clinical
Decision Support
• Payer/Government:
Claims Fraud Analysis
• Life Sciences:
Personalized Medicine
Life Sciences
Data
Clinical
Data
Patient
Sentiment
Claims
Data
Integration of data
required for major
opportunities
27
28. Analytical Solutions for Healthcare
28
Distributed
Platform
New Healthcare
Applications
Health Info
Services
Personal Health
Management
Analytics and
Visualization
Data Processing/
Management
Primary Care Aging Society
Clinical Decision
Support
Personalized
Medicine
Cancer Genomics
SQL-Like Query Machine Learning
Medical Imaging
Analytics
Medical Records Genome Data Medical Images
Storage
Optimization
Security & Privacy
Imaging
Acceleration
30. Insights Enabling right decisions for Retail
Put the right amount
of the products
customers want on
the shelf at the right
time
Get as many as
possible of the right
customers into their
store
Create a positive
buying experience
and offer value so
customers buy again
Offer products to
customers at prices
they are willing to pay
(e.g. price
discriminate)
31. Logistics Analysis
• Shipping Time
• Order Accuracy
• Delivery Time
• Transportation Costs
• Warehousing Costs
• Inventory Accuracy
• Inventory Turnover
• Inventory to Sales ratio
• Demand Forecasting
• Sensor based Tracking
• Route Optimization
• Location based Demand
Forecasting
• Cost optimization
Measuring Realtime KPIs Advanced Analytics
32. ✗
Access Logs
Authorization Logs
Access Classifications
Existing Customer Credit
Behavioral Score
+
Model
Training
✗
Trained Model
Sample
Customer Training
Set Labels
Training
Testing/
New
Good Customer:
Will not default within the
next 6 months
Bad Customer:
Will default within the
next 6 months
Source Data
Machine Learning
Feature
Extraction
BFSI Credit Risk: Binary Classification
33. • Situation: Person applies for a loan
• Task: Should a bank approve the loan?
• Note: People who have the best credit
don’t need the loans, and people with
worst credit are not likely to repay.
Bank’s best customers are in the middle
Assessing Credit Risk: Case Study
• Banks develop credit models using variety
of machine learning methods.
• Mortgage and credit card proliferation are
the results of being able to successfully
predict if a person is likely to default on a
loan
• Widely deployed in many countries
Credit Risk - Results
34. Focus: Client protection
§ Run statistical models against customer profiles
§ Detect anomalies with pattern-recognition algorithms
§ Identify and investigate identity theft
§ Detect and prevent fraud
§ Protect customer assets
§ Net result: protected customers
Security & Fraud
35. Intelligence into the future, smart cities
Smart Building
sensors
Smart Grid
sensors
Pollution
sensors
Smart
meters
Industrial
Automation
sensors
Portable medical
imaging services
Medical sensors
on ambulances
Sensors on
Smartphone
Meteorological
sensors
Inductive
sensors
Traffic cameras
INTELLIGENT CITY
INTELLIGENT
HOSPITAL
INTELLIGENT
FACTORY
INTELLIGENT
HIGHWAY
Sensors on
Vehicles
Embedded
Cloud
Dedicated
HPC
Transactional
Social
Location
36. End-uses & DR
Distribution System
Transmission System
Energy Storage
Fuel Supply System
Fuel Source/Storage
Power Plants
Renewable Plants
Data Collection and Processing
Predictive Analytics
Sensors
Controllers
End-to-End Power Delivery Chain Operation
Monitoring, Ingestion, Modeling, Analysis, Coordination & Control
37. Government - Smart Traffic Intelligent Transport System
Predictive Analytics
37
• Crime prevention, Info sharing,
• Predictive Traffic Analytics
• Machine Generated Data:
• Embedded HBase client in camera for real-time
inserts of structured/unstructured data
• 30000 + camera data collection points
• 2 billion HBase records
• Petabytes of traffic data
• Terabytes of images
• 1 week of Data mining
• Results:
• Automated queries for traffic violation
• Crime Prevention: ID fake
• licenses <1 minute
• Traffic Routing
App Servers
Regional Data Collection
Distributed Processing Across District Nodes
Derived Analytics Services
Crime Prevention Citizen Traffic Services