Laurie Desautels presented on "Big data: big decisions or big fallacy" at CPA Canada's national conference in September 2016. The presentation discussed what big data is, the language of analytics, lessons learned, and implications for accountants. Big data refers to large volumes of structured, unstructured and semi-structured data that is growing exponentially. Analytics can extract insights from data to help organizations make more informed decisions. Finance functions are spending more time on data analysis and generating business insights. Both human judgment and machine learning algorithms will play important roles in decision-making. Organizations must apply the right analytics approaches to different types of decisions.
GTEC 2016 beyond waterfall lessons learned on agile in digital government, Pw...Laurie Desautels
Presented at the GTEC 2016 conference in Ottawa on November 3 by PwC Canada in collaboration with BC Pension Corporation. Abstract: Exploring the definition of agile then answering key questions with respect to the use of agile within government and the real life implications through the use of a case study, closing with overall thoughts and recommendations on beginning the agile journey.
To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market
Guide to Data Analytics: The Trend That's Reshaping the Insurance IndustryApplied Systems
Information you need is in your management system –- you just have to understand how to use it. Read this guide to learn what data analytics is, how it's impacting the insurance industry, why it's important for independent agencies and brokerages, and how to create your own data analytics strategy.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
GTEC 2016 beyond waterfall lessons learned on agile in digital government, Pw...Laurie Desautels
Presented at the GTEC 2016 conference in Ottawa on November 3 by PwC Canada in collaboration with BC Pension Corporation. Abstract: Exploring the definition of agile then answering key questions with respect to the use of agile within government and the real life implications through the use of a case study, closing with overall thoughts and recommendations on beginning the agile journey.
To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market
Guide to Data Analytics: The Trend That's Reshaping the Insurance IndustryApplied Systems
Information you need is in your management system –- you just have to understand how to use it. Read this guide to learn what data analytics is, how it's impacting the insurance industry, why it's important for independent agencies and brokerages, and how to create your own data analytics strategy.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
White paper: The Past, Present and Future of Information ManagementLexisNexis Benelux
From a physical to digital information world. The information industry is being impacted by changes in technology, the growing volume of information, big data and social networks.
LexisNexis has undertaken this report to help organisations understand the nature and impact of these changes. Here we analyse the past and present, and look ahead with the aim of equipping today’s information managers with the right tools
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
In the age of information overload, having a social media measurement practice is the key to successful execution of your social strategy. In this session, Debra Askanase looked at what data points tell you that your community cares and is willing to take action, a methodology to figuring what data is relevant to your outcomes, where to find the metrics that matter, and why setting up the right metrics can make the difference between knowing that people visited a page on your website, and if your social media actions sent them there.
As 2017 begins, we are seeing big data and data science communities engage with new tools that specifically cater to data scientists and data engineers who aren’t necessarily experts in these techniques. Given rapid technological advances, the question for companies now is how to integrate new data science capabilities into their operations and strategies—and position themselves in a world where analytics can upend entire industries. Leading companies are using their data science capabilities not only to improve their core operations but also to launch entirely new business models.
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
White paper: The Past, Present and Future of Information ManagementLexisNexis Benelux
From a physical to digital information world. The information industry is being impacted by changes in technology, the growing volume of information, big data and social networks.
LexisNexis has undertaken this report to help organisations understand the nature and impact of these changes. Here we analyse the past and present, and look ahead with the aim of equipping today’s information managers with the right tools
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
In the age of information overload, having a social media measurement practice is the key to successful execution of your social strategy. In this session, Debra Askanase looked at what data points tell you that your community cares and is willing to take action, a methodology to figuring what data is relevant to your outcomes, where to find the metrics that matter, and why setting up the right metrics can make the difference between knowing that people visited a page on your website, and if your social media actions sent them there.
As 2017 begins, we are seeing big data and data science communities engage with new tools that specifically cater to data scientists and data engineers who aren’t necessarily experts in these techniques. Given rapid technological advances, the question for companies now is how to integrate new data science capabilities into their operations and strategies—and position themselves in a world where analytics can upend entire industries. Leading companies are using their data science capabilities not only to improve their core operations but also to launch entirely new business models.
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Event held 8th Dec 2016, Edinburgh. The evolution of Big Data analytics has been staggering: it has progressed from an underused asset to a vital source of intelligence and insight, driven by improved hardware, cloud technologies and a plethora of specialist software. These technological advances have pushed the boundaries of what is possible, driving new innovation and enabling huge strides forward in fields like AI and Cognitive Computing.
Bigger, faster, and cloudier: that’s where big data is headed in 2016. More people are doing more things faster with their data, but the details of how continue to evolve. Get up to speed on the latest trends in big data.
AWS re:Invent 2016: Big Data Architectural Patterns and Best Practices on AWS...Amazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
AWS re:Invent 2016: Big Data Mini Con State of the Union (BDM205)Amazon Web Services
Join us for this general session where AWS big data experts present an in-depth look at the current state of big data. Learn about the latest big data trends and industry use cases. Hear how other organizations are using the AWS big data platform to innovate and remain competitive. Take a look at some of the most recent AWS big data announcements, as we kick off the Big Data re:Source Mini Con.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
How to identify the Return on Investment of Big Data / CIO (Infographic)suparupaa
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
The Chinese government has set ambitious goals in its big data industry development to foster new economic drivers. One of these goals is e.g. to increase the annual sales of China’s big data industry (including related goods and services) to RMB 1 trillion by 2020 from an estimated RMB 280 billion in 2015. This report examines the Chinese big data industry and its innovators along with possible future opportunities and implications that China's expanding big data industry could entail for Finland.
Tracxn Big Data Analytics Landscape Report, June 2016Tracxn
New Enterprise Associates, Andreessen Horowitz, Accel Partners, Intel Capital and Khosla Ventures are the top 5 investors in big data analytics, with over 10 investments each.
Great Bigdata eBook giving a perspective of Bigdata Analytics Predictions for 2016. Learn about the milestones, landmarks and futures of this fast growing arena.
How Big Companies plan to use Our Big Data 201610Mark Tabladillo
Underneath the shiny popular apps on tablets, smartphones, and entertainment channels are typically large cloud-based data centers. App developers leverage the cloud to provide advertisers with targeted sales opportunities, which has been accounting for an ongoing shift from paper to online media. This presentation will provide updated trends and statistics for 2016 on big data usage (based on consumer use), statistical concerns with big data, and the Microsoft big data story.
BigData & Supply Chain: A "Small" IntroductionIvan Gruer
In the frame of the master in logistic LOG2020, a brief presentation about BigData and its impacts on Supply Chains at IUAV.
Topics and contents have been developed along the research for the MBA final dissertation at MIB School of Management.
Integra: Summiting the Mountain of Big Data (Infographic)Jessica Legg
Concepted, copywrote and creative directed the development of a new infographic for Integra around the theme of Big Data.
Summary: The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires preparation.
Our infographic will help you understand how big "Big Data" is; the business advantages you can capture by tapping into its power; and how you can prepare to meet its demands—resulting in Big Gains from Big Data.
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
We studied impact of the Big Data phenomenon on SMBs.
We conducted interviews among 30 SMBs to check:
- Big Data understanding by SMBs
- Adoption level of Big Data services
- Value creation and go-to-market channels
- Pain points in adopting Big Data
Data volumes have experienced explosive growth in recent years, and that data is being generated from sources that are increasingly complex and varied. Harnessing and refining value from this data requires a new approach as data extraction, transformation, and loading (ETL) becoming increasingly more costly and difficult to scale.
Organizations are looking to leverage Hadoop as an enterprise data hub—also called a “data lake” or “data reservoir”—as a key component of their data architecture to augment their data warehouse, ETL and analytical systems in order to maximize their existing investments, reduce costs, and unlock new business value from their data.
In this webinar, you will learn:
Real-world examples that illustrate why Hadoop is the best low-cost data hub, data lake, or data landing zone (staging area) option for ETL processing
Proof points that demonstrate advantages of Hadoop and its ability to scale to manage increasing data volumes and support exploratory big data analytics
Proven best practices for a cost-effective, reliable way to implement a data management platform for your entire big data analytical ecosystem
Hidden issues to be aware of in deploying your data hub/data lake
Hispanic Digital and Print Media Conference 2012 - Oscar PadillaPortada
Unlocking Key Insights to Reach the Hispanic Consumer by Osar Padilla, Vice President of Strategy at Luminar. Presentation for Portada's 6th Annual Hispanic Digital and Print Media Conference in New York City.
Attend Portada's 2013 Latin Content Marketing Forum in Miami this June 4th, 2013.
Learn more at: http://www.portada-online.com/conferences
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
Big Data; Big Potential: How to find the talent who can harness its powerLucas Group
Big Data is in its infancy but it holds great promise. The key to success is finding and keeping the talent with the skills necessary to obtain and analyze the data, ask the right questions, and present findings in a compelling fashion that makes sense for your organization.
Digitale Transformation in der Praxis, Event November 2016, präsentiert von Allgeier (Schweiz) AG und Microsoft Schweiz. Beleuchtung des Themas «Digitale Transformation» aus globaler Perspektive und Vorgehen in digitalen Transformations-Projekten. Praxisorientierte Showcases: Automatisierung von Rechnungseingang mit Finanzsystem-Integration, Daten-Integration in Office 365 anhand der Digitalisierung von Wertpapieraufträgen, Nutzung von Microsoft Dynamics CRM als zentrale Unternehmensplattform mit Integration in Microsoft SharePoint.
Similar to CPA ONE 2016 - Big data: big decisions or big fallacy (20)
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
Buy Verified PayPal Account
Looking to buy verified PayPal accounts? Discover 7 expert tips for safely purchasing a verified PayPal account in 2024. Ensure security and reliability for your transactions.
PayPal Services Features-
🟢 Email Access
🟢 Bank Added
🟢 Card Verified
🟢 Full SSN Provided
🟢 Phone Number Access
🟢 Driving License Copy
🟢 Fasted Delivery
Client Satisfaction is Our First priority. Our services is very appropriate to buy. We assume that the first-rate way to purchase our offerings is to order on the website. If you have any worry in our cooperation usually You can order us on Skype or Telegram.
24/7 Hours Reply/Please Contact
usawebmarketEmail: support@usawebmarket.com
Skype: usawebmarket
Telegram: @usawebmarket
WhatsApp: +1(218) 203-5951
USA WEB MARKET is the Best Verified PayPal, Payoneer, Cash App, Skrill, Neteller, Stripe Account and SEO, SMM Service provider.100%Satisfection granted.100% replacement Granted.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
CPA ONE 2016 - Big data: big decisions or big fallacy
1. Big data: big decisions or
big fallacy
THE ONE NATIONAL CONFERENCE SEPTEMBER 19-20, 2016 VANCOUVER, BC
2. 1
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
What is big data?
What is the language of big data and analytics?
How is it relevant for you?
What are the lessons learned so far?
Laurie Desautels
Director Digital
Part of the PwC network
1
2
3
4
3. Information is the oil of the
21st century and analytics
the combustion engine.
— Peter Sondergaard, Gartner
2
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
4. 3
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
5. 4
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Is your organization …
Highly data-driven
Somewhat data-driven
Rarely data-driven
1
2
3
6. 5
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Source: PwC's Global Data and Analytics Survey 2016 | Canadian insights
Organizations are seeking the right mix of mind and machine to leverage
data, understand risk, and gain a competitive edge.
7. 6
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
@SOURCE
What is big data?
1
8. “The techniques and technologies that
make handling data at extreme scale
affordable” – Forrester
“Big data is high volume, high velocity, and
high variety information assets requiring
new forms of processing” – Gartner
7
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
9. 8
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
“Big Data is all about finding
correlations, but Small Data
is all about finding the
causation, the reason why.”
– Martin Lindstrom, author of “Small Data:
The Tiny Clues That Uncover Huge Trends”
@SOURCE
10. 9
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
@SOURCE
and this was from 2012!
Everyday, we create
2.5 quintillion bytes of
data – so much that
90% of the data in the
world today has been
created in the last two
years alone.
Where does big data come from?
11. 10
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
The nature of the data keeps changing as the software platforms evolve
iMessage
2016
@SOURCE: http://www.kpcb.com/internet-trends
12. 11
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Ellen Degeneres’ tweet from the
Oscar’s in 2014 had over 3.3m
retweets.
@SOURCE
Wal-Mart has
100,000,000
customers per week
@SOURCE
In 2000, Sloan Digital Sky
Survey collected more data in
its first few weeks than the
entire data collection in the
history of astronomy.
@SOURCE
Sequencing the human genome originally
took 10 years. An ancestry DNA test can
now be purchased for less than $200 and
results received within a few weeks.
@SOURCE
What does big data look like?
13. The lexicon of big data
12
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
2
Big data has no
value without the
insights human
expertise and
analytics can tease
out of it.
Analytics is the combustion
engine of the information age
14. 13
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Examples
Techniques
Questions
Diagnostic
discover & explore
Why is it happening?
Where is the problem?
What are the trends?
• Agile Dashboards
• Cause and effect
• Correlations
• Behavioral analytics
• Data & text mining
• HALO
• Risk Analytics
• Rapid BI apps
• Workforce analytics
• Analytical apps
Prescriptive
anticipative
What should I do?
What is the next best
action?
• Optimization
• Artificial Intelligence
• Machine learning
• Simulations
• Analytical apps with
simulated outcomes
Descriptive
reporting
What happened?
What is happening?
• Business Reporting
• Scorecards
• Business Intelligence
• HALO
• Financial performance
results
• Staff performance
scorecards
Predictive
forecast
What is likely to
happen next?
• Predictive modeling and
statistical analytics
• Regression analysis
• Forecast modeling
• Strategy & growth analytics
• Customer analytics
• Fraud & Cyber analytics,
etc.
The increasing value of analytics
15. 14
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Examples
Techniques
Questions
Diagnostic
discover & explore
Why is it happening?
Where is the problem?
What are the trends?
• Agile Dashboards
• Cause and effect
• Correlations
• Behavioral analytics
• Data & text mining
• HALO
• Risk Analytics
• Rapid BI apps
• Workforce analytics
• Analytical apps
Prescriptive
anticipative
What should I do?
What is the next best
action?
• Optimization
• Artificial Intelligence
• Machine learning
• Simulations
• Analytical apps with
simulated outcomes
Descriptive
reporting
What happened?
What is happening?
• Business Reporting
• Scorecards
• Business Intelligence
• HALO
• Financial performance
results
• Staff performance
scorecards
Predictive
forecast
What is likely to
happen next?
• Predictive modeling and
statistical analytics
• Regression analysis
• Forecast modeling
• Strategy & growth analytics
• Customer analytics
• Fraud & Cyber analytics,
etc.
The increasing value of analytics
16. 15
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Active
Passive
Data has traditionally been actively captured. Today, data is
increasingly passively captured.
17. OT IoT
The Industrial
Internet
16
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
IT, operational technologies (OT) and the internet of things (IoT)
are converging to create the industrial internet
(or what PwC calls Industry 4.0)
Big data is an output of the industrial internet.
Data and analytics are core competencies in this new world of Industry 4.0.
IT
18. 17
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Volume
GB, TB, PB,
EB, ZB
Variety
Structured,
unstructured,
and semi-
structured such
clickstream, text,
image, video,
geolocation, …
Velocity
Speed In which
analysis of data
occurs and data
is delivered for
analysis
Veracity
Uncertainty,
predictability,
and integrity of
data
The 4Vs of big data
19. 18
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
data measured in TB
data measured in ZB
new large scale data
that is semi-structured,
unstructured, or
unproven (with potential value)
proven structured and semi-
structured data sources
Multiple new technologies and the cloud
deliver big data capabilities
What are the emerging data platforms?
NoSQL DB
Columnar DB
NewSQL DB
Big Data Appliances
Distributed File System
20. 19
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
The value of a
data lake is in
finding clues
to help your
organization
answer high
priority
questions.
@SOURCE
Modern data architectures leverage data lakes as a repository for large
quantities and varieties of data, both structured and unstructured.
21. Value is created by using traditional and big data, human and machine
learning, BI and analytics
Traditional mindset Big data mindset
20
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Reporting Analysis Needs Discovery, predictive
Large population with focused needs Audience Small user base with unfocused needs
Return on Investment Value for investment Option-creating investments
Waterfall Execution Iterative / Agile
Model then store Approach Store then model
Transactional Sources Interactions
Internal Location Outside the company
Structured Format Semi-structured and un-structured
Business Intelligence Tools Analytics, simulation, visualization
SQL Languages MapReduce, Embedded R, etc.
Relational Storage Data Lakes (Hadoop, Cassandra, Mongo, etc.)
Traditional ETL (Extract, Transform, Load) Integration Data wrangling, late binding
BusinessInformationTechnology
22. 21
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Storytellers,
Visualization
Specialists,
and Business
Analysts
Information
Architects
Master Data
Management
Specialists
Data Scientists Data Modelers Data Extraction
Specialists
Ability to
communicate and
evangelize.
Creative,
investigative,
analytical minds
with Industry or
business domain
knowledge
Information and
data architecture,
data quality, and
master data
management skills
Statistical
programming
skills, adept at
advanced
techniques
(algorithms) and
languages (R,
SAS, etc.)
Programming
skills and
development
methodology.
Application
development and
implementation
experience.
Programming
skills with data
discovery and
mashing/blending
large amounts of
data skills.
DBMS skills, data
extraction,
transformation,
load. Detail
oriented to ensure
completeness and
accuracy.
Analytics
Applications
Implementers
The data needs to tell a story, but to get there you need a
variety of skillsets
23. 22
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
@SOURCE
A great visualization ...
http://www.informationisbeautiful.net/vis
ualizations/worlds-biggest-data-
breaches-hacks/
24. What does it mean for you?
23
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
3
@SOURCE: Artwork by David Somerville, based on an original drawing by Hugh McLeod
25. 24
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
days for finalization
of monthly / annual
reports
Monthly &
annual reporting
Budgeting
Controlling
FTEs
Business
Insights
Cost of Finance
days to complete
the budget
less FTEs in
Controlling than
peers
more time spent on
data analysis vs.
data gathering
less cost of
Finance than
peers
+20% -40%-20%304/7
Source: PwC, Finance Effectiveness Benchmark & Digital Controlling Study, 2015
The finance function in best practice companies spend
increased time generating insights from data
26. 25
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Our customers
are more
sophisticated.
How do we
provide better
value?
What drives
customer
satisfaction in my
business?
Who from my
team is likely to
leave and how
can we prevent
that?
Is my sales
force behaving
with proper
conduct?
The concept of big data says you don’t know what data to collect because
you don’t even know what the questions are, now or in the future.
Are you asking the right questions?
27. 26
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Goal
What is the
question
you are
asking?
Identify
required
data
Obtain data
Prepare
data
Analyze
Data
Did we
answer the
question?
Agile Analytics takes a “fast fail” approach to developing
analytics solutions
28. 27
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
A significant role for machines is emerging and companies are
taking advantage of what machines offer
A machine learning example
Source: PwC’s Global Data and Analytics Survey, July 2016. Q: What will the analytis informing your next
strategic decision require? Global base: 2,106 senior executives.
Machine algorithms Human judgement
29. 28
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
The new role of finance: Balancing mind and machine
A spend-analysis machine (SAM), compiles and classifies
millions of financial transactions and gets smarter the more
data it processes.
SAM finds optimization opportunities and makes timely
recommendations—such as how much you could save by
taking advantage of volume discounts—enabling you to make
decisions on negotiations and spending to realize savings.
30. 29
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
“One thing is certain: the
profession is moving away from
the basic bookkeeping chores
toward the more sophisticated
analytical tasks.”
– Monique Morden, Chief Revenue Officer at
Lendified in Vancouver
Source: “I robot, CPA”, Yan Barlow, CPA Magazine, August 2-016
https://www.cpacanada.ca/en/connecting-and-news/cpa-magazine/articles/2016/august/i-robot-cpa
31. Do you need a decision
diagnostic?
What are the lessons learned to date?
30
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
4
32. 31
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Accelerated
agility
Master the
chess moves
Intelligence in
the moment
Cover the
basics
Low HighSophistication
SpeedLowHigh
Decision Archetypes
• Data-driven decisions trump intuition
• Hindsight & foresight with all available data
• Slow consensus driven and analytic decisions
• Intuition based decisions – little analysis
• Descriptive reporting with internal data
• Low frequency data and model refresh
• Speedy decisions trump analysis / consensus
• Descriptive reporting with internal data
• Rapid analyse-decide-act feedback loop
• Data & intuition drive decisions
• Hindsight & foresight with all available data
• Advanced analytics with feedback loop
You must apply analytics for your big decisions.
For each type of decision, what do you need?
33. 32
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Improving both speed and sophistication helps maximize
the return on investment for data and analytics
@SOURCE
Increasing sophistication should
simplify, not increase complexity
Speed is as much about structure as
it is about data and analytics
34. 33
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Enterprise
adoption
Deliver and scalePilot and proveDue diligenceIdeation
Innovation processes
The big data value chain intakes rough ideas on how to use information
strategically and create actionable insights
ITGovernance
ITGovernance
ITGovernance
ITGovernance
ITGovernance
Investment
Investment
Investment
Investment
Investment
Refer, Defer, Kill
BusinessGovernance
BusinessGovernance
BusinessGovernance
BusinessGovernance
BusinessGovernance
Refer, Defer, Kill Refer, Defer, Kill
35. 34
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
Consumer attitudes are hardening as more data is
gathered, used, shared, and sold. Lawmakers and
regulators will respond.
36. 35
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
7%
7%
8%
8%
8%
12%
15%
26%
11%
12%
10%
10%
12%
15%
4%
18%
Infrastructure and/or architecture
Obtaining skills and capabilities needed
Funding for Big Data-related initiatives
Risk and governance issues
Integrating multiple data sources
Defining our strategy
Understanding what is "Big Data"
Determining how to get value from Big Data
% of respondents
Top challenge
2nd
Source: Gartner, Big Data Industry Insights
What are the top hurdles or challenges with big data?
37. As the tools and philosophies of big
data spread, they will change long-
standing ideas about the value of
experience, the nature of expertise, and
the practice of management.
36
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
@SOURCE
38. If you’re making decisions, trusting data shouldn’t be
holding you back. What you should be thinking about is
how to frame the problem, how you can take advantage
of the available data that’s out there, and what the
strengths and weaknesses are of the approaches to use
the data.
— Dan DiFilippo, Global and U.S. Data & Analytics Leader, PwC
37
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016
39. 38
@SOURCE
Big data: big decisions or big fallacy, presented September 20 at
CPA CANADA THE ONE NATIONAL CONFERENCE 2016