Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Consumer Packaged Goods (CPG) Industry - 5 Digital TransformationsNitin Jain
Discusses how digital technologies are transforming the Consumer Packaged Goods (CPG) industry landscape and its implications on the future of CPG companies.
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a collection of PowerPoint diagrams and templates used to convey 20 different digital transformation frameworks and models.
INCLUDED FRAMEWORKS/MODELS:
1. Ten Guiding Principles of Digital Transformation
2. The BCG Strategy Palette
3. Digital Value Chain Model
4. Four Levels of Digital Maturity
5. Customer Experience Matrix
6. Design Thinking Framework
7. Business Model Canvas
8. Customer Journey Map
9. OECD Digital Government Transformation Framework
10. Accenture's Nonstop Customer Experience Model
11. MIT's Digital Transformation Framework
12. McKinsey's Digital Transformation Framework
13. Capgemini's Digital Transformation Framework
14. DXC Technology's Digital Transformation Framework
15. Gartner's Digital Transformation Framework
16. Cognizant's Digital Transformation Framework
17. PwC's Digital Transformation Framework
18. Ionolgy's Digital Transformation Framework
19. Accenture's Digital Business Strategy Framework
20. Deloitte's Digital Industrial Transformation Framework
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
Five Things to Consider About Data Mesh and Data GovernanceDATAVERSITY
Data mesh was among the most discussed and controversial enterprise data management topics of 2021. One of the reasons people struggle with data mesh concepts is we still have a lot of open questions that we are not thinking about:
Are you thinking beyond analytics? Are you thinking about all possible stakeholders? Are you thinking about how to be agile? Are you thinking about standardization and policies? Are you thinking about organizational structures and roles?
Join data.world VP of Product Tim Gasper and Principal Scientist Juan Sequeda for an honest, no-bs discussion about data mesh and its role in data governance.
Digital Transformation Strategy PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Digital Transformation Strategy Powerpoint Presentation Slides. Our topic-specific Digital Transformation Strategy Powerpoint Presentation Slides presentation deck contains twenty-three slides to formulate the topic with a sound understanding. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. PPT slides are accessible in both widescreen and standard format. PowerPoint templates are compatible with Google Slides. Quick and risk-free downloading process. It can be easily converted into JPG or PDF format
Consumer Packaged Goods (CPG) Industry - 5 Digital TransformationsNitin Jain
Discusses how digital technologies are transforming the Consumer Packaged Goods (CPG) industry landscape and its implications on the future of CPG companies.
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a collection of PowerPoint diagrams and templates used to convey 20 different digital transformation frameworks and models.
INCLUDED FRAMEWORKS/MODELS:
1. Ten Guiding Principles of Digital Transformation
2. The BCG Strategy Palette
3. Digital Value Chain Model
4. Four Levels of Digital Maturity
5. Customer Experience Matrix
6. Design Thinking Framework
7. Business Model Canvas
8. Customer Journey Map
9. OECD Digital Government Transformation Framework
10. Accenture's Nonstop Customer Experience Model
11. MIT's Digital Transformation Framework
12. McKinsey's Digital Transformation Framework
13. Capgemini's Digital Transformation Framework
14. DXC Technology's Digital Transformation Framework
15. Gartner's Digital Transformation Framework
16. Cognizant's Digital Transformation Framework
17. PwC's Digital Transformation Framework
18. Ionolgy's Digital Transformation Framework
19. Accenture's Digital Business Strategy Framework
20. Deloitte's Digital Industrial Transformation Framework
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
Five Things to Consider About Data Mesh and Data GovernanceDATAVERSITY
Data mesh was among the most discussed and controversial enterprise data management topics of 2021. One of the reasons people struggle with data mesh concepts is we still have a lot of open questions that we are not thinking about:
Are you thinking beyond analytics? Are you thinking about all possible stakeholders? Are you thinking about how to be agile? Are you thinking about standardization and policies? Are you thinking about organizational structures and roles?
Join data.world VP of Product Tim Gasper and Principal Scientist Juan Sequeda for an honest, no-bs discussion about data mesh and its role in data governance.
Digital Transformation Strategy PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Digital Transformation Strategy Powerpoint Presentation Slides. Our topic-specific Digital Transformation Strategy Powerpoint Presentation Slides presentation deck contains twenty-three slides to formulate the topic with a sound understanding. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. PPT slides are accessible in both widescreen and standard format. PowerPoint templates are compatible with Google Slides. Quick and risk-free downloading process. It can be easily converted into JPG or PDF format
When you look at traditional ERP or management systems, they are usually used to manage the supply chain originating from either the point of Origin or point of destination which all our primarily physical locations. And for these, you have several processes like order to cash, source to pay, physical distribution, production etc.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
Essentials of a platform business modelValueCoders
A platform business model connects buyers and suppliers who can then transact with ease. This model is being seen as the latest trend in businesses of today.
The next generation user experience should move to customer engagement zones along their preferred channels with desired action to outcome approaches. With scores of information ranging from inventory to inquiry, weather to warehouse alerts, product to promotion info at disposal, enterprise digitization can create value at every customer touch point. Attendees witnessed the manifestation of TCS’ Thought Leadership in the Game of Retail.
CDP - 101 Everything you need to know about Customer Data PlatformsEddy Widerker
There has been a lot of buzz around Customer Data Platforms (CDP) in the past months/years. This presentation gives you a great overview of what a CDP is, the similarities across different systems such as a DMP or CRM. As well as valuable questions that help you determine if your organization needs a Customer Data Platform.
At the same time, if you find yourself being a bit overwhelmed with all of the 1st 2nd or 3rd party data targeting options from, I'd highly recommend using a service like ClearSegment to understand various data providers - it's data collection methodologies as well as their individual segments. https://clearsegment.com/
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
Accelerate Revenue with a Customer Data PlatformLattice Engines
This webinar covers two things:
1. Steve Casey of Forrester Research walks through what a CDP is and key use-cases
2. Steve Scotkin, Senior Director of Marketing Technology at Thomson Reuters gives an inside look at how a Customer Data Platform is enabling Thomson Reuters transform into a customer-centric company.
Ling Shou Tong: Alibaba’s Next Innovative Disruptor?accenture
This piece examines Ling Shou Tong (Alibaba’s new retail inventory management platform)and looks at how it’s disrupting convenience stores and post and parcel delivery in China.
Developing a customer data platform to provide omnichannel customer visibility for a retailer serving +100M households.
The Global Customer Insight team for one of the world's largest retailers, serving over 100M households, wanted to create a unified customer data platform to provide complete visibility across their customer's omnichannel touchpoints. Historically, the retailer had less than 50% visibility to their customer's omnichannel engagement. As a result, their analysis and data
scientists relied on data from multiple sources and legacy technology platforms to generate customer insights for stakeholders, resulting in reduced productivity, multi-day run-times, and incomplete insights
Learn more: https://www.tredence.com/services/customer-analytics
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
Thoughts on best practices to guide digital transformation. Covers 5 areas:- leadership, organisation and culture, the customer experience, the digital platform and execution.
Every industry is becoming data driven, built around its information systems. Nowhere is this more evident than in retail where customer data is pivoting to flow across the traditional customer touchpoints and retailers are creating organizational structures that are responsible for the customer experience across traditional functional silos.
When you look at traditional ERP or management systems, they are usually used to manage the supply chain originating from either the point of Origin or point of destination which all our primarily physical locations. And for these, you have several processes like order to cash, source to pay, physical distribution, production etc.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
Essentials of a platform business modelValueCoders
A platform business model connects buyers and suppliers who can then transact with ease. This model is being seen as the latest trend in businesses of today.
The next generation user experience should move to customer engagement zones along their preferred channels with desired action to outcome approaches. With scores of information ranging from inventory to inquiry, weather to warehouse alerts, product to promotion info at disposal, enterprise digitization can create value at every customer touch point. Attendees witnessed the manifestation of TCS’ Thought Leadership in the Game of Retail.
CDP - 101 Everything you need to know about Customer Data PlatformsEddy Widerker
There has been a lot of buzz around Customer Data Platforms (CDP) in the past months/years. This presentation gives you a great overview of what a CDP is, the similarities across different systems such as a DMP or CRM. As well as valuable questions that help you determine if your organization needs a Customer Data Platform.
At the same time, if you find yourself being a bit overwhelmed with all of the 1st 2nd or 3rd party data targeting options from, I'd highly recommend using a service like ClearSegment to understand various data providers - it's data collection methodologies as well as their individual segments. https://clearsegment.com/
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
Accelerate Revenue with a Customer Data PlatformLattice Engines
This webinar covers two things:
1. Steve Casey of Forrester Research walks through what a CDP is and key use-cases
2. Steve Scotkin, Senior Director of Marketing Technology at Thomson Reuters gives an inside look at how a Customer Data Platform is enabling Thomson Reuters transform into a customer-centric company.
Ling Shou Tong: Alibaba’s Next Innovative Disruptor?accenture
This piece examines Ling Shou Tong (Alibaba’s new retail inventory management platform)and looks at how it’s disrupting convenience stores and post and parcel delivery in China.
Developing a customer data platform to provide omnichannel customer visibility for a retailer serving +100M households.
The Global Customer Insight team for one of the world's largest retailers, serving over 100M households, wanted to create a unified customer data platform to provide complete visibility across their customer's omnichannel touchpoints. Historically, the retailer had less than 50% visibility to their customer's omnichannel engagement. As a result, their analysis and data
scientists relied on data from multiple sources and legacy technology platforms to generate customer insights for stakeholders, resulting in reduced productivity, multi-day run-times, and incomplete insights
Learn more: https://www.tredence.com/services/customer-analytics
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
Thoughts on best practices to guide digital transformation. Covers 5 areas:- leadership, organisation and culture, the customer experience, the digital platform and execution.
Every industry is becoming data driven, built around its information systems. Nowhere is this more evident than in retail where customer data is pivoting to flow across the traditional customer touchpoints and retailers are creating organizational structures that are responsible for the customer experience across traditional functional silos.
Driving Better Products with Customer Intelligence Cloudera, Inc.
In today’s fast moving world, the ability to capture and process massive amounts of data and make valuable insights is key to gaining a competitive advantage. For RingCentral, a leader in Unified Communications, this is very true since they work with over 350,000 organizations worldwide. With such scale, it can be difficult to address quality issues when they appear while supporting additional calls.
Entry Points – How to Get Rolling with Big Data AnalyticsInside Analysis
The Briefing Room with Robin Bloor and IBM
Live Webcast Sept. 24, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
Where to begin? That question remains prominent for many organizations who are trying to leverage the value of big data analytics. Most sources of big data are quite different than traditional enterprise data systems. This requires new skill sets, both for the granular integration work, as well as the strategic business perspective required to design useful solutions.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
A revolution is under way where businesses and their systems are connecting to digital communities of existing and potential partners. In this world:• Sellers quickly find new business opportunities with a network of purchase-ready prospects
• Buyers efficiently discover new sources of supply and coordinate orders across their supply chains — all in real-time
• Companies can have transparency into payables and receivables to make better working capital decisions
In this session we will investigate the key elements that allow the emerging leaders to embrace the new world of Networked Business, and what steps you must take to continue to flourish.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Welcome to 2015's Digital Enterprise IT Infrastructure John Sing
"Welcome to 2015's IT Infrastructure" - CIO presentation, June 3, 2015, Tampa, FL. Reviews state of modern 2015 Digital Enterprise, Digital Customer Journey impact on modern business model and IT infrastructure, resulting need for global shared data storage infrastructure. Presented by one of IBM Spectrum Scale's product managers, John Sing.
Downloadable if fully editable PowerPoint. Use for your benefit in business and career. All I ask is that you give me credit as the original author. Enjoy!
Pervasive analytics through data & analytic centricityCloudera, Inc.
Cloudera and Teradata discuss the best-in-class solution enabling companies to put data and analytics at the center of their strategy, achieve the highest forms of agility, while reducing the costs and complexity of their current environment.
BIG Data & Hadoop Applications in RetailSkillspeed
Explore the Applications of BIG Data & Hadoop in Retail Industry via Skillspeed.
BIG Data & Hadoop in Retail is a key differentiator, especially in terms of generating memorable customer experiences. They are used for brand sentiment analysis, consumer insights, optimizing store layouts and inventory-demand cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Trivadis TechEvent 2016 Customer Event Hub - the modern Customer 360° view by...Trivadis
Unternehmen kommunizieren heute über verschiedenste Kanäle mit ihren Kunden. Dabei entstehen viele Daten in unterschiedlichen Systemen, immer öfter auch ausserhalb des Unternehmens. Diese Daten haben oft keine einheitlichen Formate und werden kontinuierlich und mit grösser werdendem Volumen erzeugt. Mit IoT Anwendungen wird dies nur noch extremer. Um eine komplette und konsistente Sicht über den Kunden zu haben, müssen all diese kundenbezogenen Informationen in eine 360 Grad Sicht einbezogen werden und dies möglichst in Echtzeit. Der Customer Hub wird damit zum Customer Event Hub
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today.
The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact.
The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories:
Data Lifecycle Connection
Data for Enterprise AI
Cloud Innovation
Security & Governance Leadership
People First
Data for Good
Industry Transformation
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
[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
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
Skye Residences | Extended Stay Residences Near Toronto Airportmarketingjdass
Experience unparalleled EXTENDED STAY and comfort at Skye Residences located just minutes from Toronto Airport. Discover sophisticated accommodations tailored for discerning travelers.
Website Link :
https://skyeresidences.com/
https://skyeresidences.com/about-us/
https://skyeresidences.com/gallery/
https://skyeresidences.com/rooms/
https://skyeresidences.com/near-by-attractions/
https://skyeresidences.com/commute/
https://skyeresidences.com/contact/
https://skyeresidences.com/queen-suite-with-sofa-bed/
https://skyeresidences.com/queen-suite-with-sofa-bed-and-balcony/
https://skyeresidences.com/queen-suite-with-sofa-bed-accessible/
https://skyeresidences.com/2-bedroom-deluxe-queen-suite-with-sofa-bed/
https://skyeresidences.com/2-bedroom-deluxe-king-queen-suite-with-sofa-bed/
https://skyeresidences.com/2-bedroom-deluxe-queen-suite-with-sofa-bed-accessible/
#Skye Residences Etobicoke, #Skye Residences Near Toronto Airport, #Skye Residences Toronto, #Skye Hotel Toronto, #Skye Hotel Near Toronto Airport, #Hotel Near Toronto Airport, #Near Toronto Airport Accommodation, #Suites Near Toronto Airport, #Etobicoke Suites Near Airport, #Hotel Near Toronto Pearson International Airport, #Toronto Airport Suite Rentals, #Pearson Airport Hotel Suites
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.
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.
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.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
We’ve entered a new era for manufacturing, dubbed Industry 4.0, and characterized by widespread digitalization. Prior to this fourth major transformation in modern manufacturing, there was the lean revolution of the 1970s, the outsourcing trend of the 1990s, and the automation boom that began in the 2000s.
Even at this early stage, manufacturer commitment to digital transformation is strong. Preliminary findings from Aberdeen Group’s analysis found that 35% of manufacturers plan to achieve digital transformation (industrial IoT, Industry 4.0, smart manufacturing).
A key part of digital transformation is the Internet of Things, which is positioned to revolutionize the entire manufacturing value chain by providing an unprecedented level of connectedness and functionality. For consumers, this change comes in the form of small, highly connected devices (smartphones, tablets, GPS devices) and sophisticated electronics embedded into our transport means, living spaces, and workplaces. For manufacturing firms, this change empowers them with new ways to develop, innovate, and manufacture due to the endless connections that can take place. Indeed, Industrial IoT (IIoT) is the subset of IoT that concerns itself with connected manufacturing operations to develop products and services.
e
As more users find more ways to employ advancing technologies, new disruptions on the purchasing pathway are not only possible but likely. (See Exhibit 4.) The technology already exists, for example, that would enable consumers to do away with the regular (say, weekly) shopping basket in favor of a continuous stream of purchases transacted in real time. Amazon Dash, for example, a combination digital recorder and barcode scanner, connects to a home Wi-Fi network and works directly with the customer’s AmazonFresh account. The user speaks or scans items into the device, then uses his or her PC or mobile device to make the purchase and schedule delivery. Amazon has embedded quick-shopping capabilities in its Fire smartphone as well. In time, the active participation of the individual consumer may no longer be necessary. Marketplaces or delivery services, such as Google Shopping Express, could receive information from “smart” storage devices or refrigerators that provide recommendations and make decisions, replacing the shopper’s own decisions about what to buy and when. The one thing that’s certain is that the consumer experience will continue to evolve as more users find more ways to use advancing technologies to improve their daily lives.
A clear and integrated strategy requires a comprehensive assessment of the role of digital and e-commerce for the company. This means determining how large a digital presence to build for each brand based on the circumstances of its category and market. The strategy must be driven from the top of the organization and requires an objective assessment of the starting point. It should define a sustainable position for each brand or product (profitable margins, steady share) and the capabilities required to get there.
An integrated strategy lays out a company’s digital ambition and level of investment commitment. The key question is how far does a company want to try to go—and how fast. Is it a player in the new game, a fast follower, or does it have aspirations to be a leader? What does it see as its own digital endgame—a competitive capability or a unique, fully integrated omnichannel offering? Part of the answer may lie in the amount the company is willing (or able) to invest to support its ambition and desired pace of growth. Investments need to be calculated by category, brand, and market. The strategy will determine how far and how fast the company moves through the phases of digital maturity. (See Exhibit 10.)
The importance of strategy, commitment from the top, and building the right capabilities can be seen in the example of a leading international fashion company. Almost a decade ago, the company was in a bind: its brand was outdated and it was losing relevancy with consumers. The company determined that its most attractive future rested in establishing a strong digital relationship with its customers, especially younger customers who had grown up online; to do that, it needed to become a digital leader. The CEO oversaw development of a multiyear digital strategy, including a series of no-regret moves and a few capital-heavy bets, that has led its organization and investment decisions ever since. The choices weren’t easy, requiring top management to have the courage of its conviction and make hard trade-offs, such as pulling budget dollars from traditional print advertising to fund digital investments.
The strategy unified the company around the goal of becoming the first fully digital brand in its industry. The company made early, low-risk investments in online brand building and social media. It used Facebook to connect with customers and created its own photo-sharing site featuring its fashions, with content provided by users. As it progressed, it updated its organizational structure and talent, including appointment of a chief creative officer to run digital. (It’s often necessary to have someone highly placed in the organization who “owns” the digital agenda in order to sustain momentum.) The company has invested 60 percent of its marketing budget in digital channels, three times the industry average, underscoring its commitment.
Having determined that its principal sales channels would be its own online and brick-and-mortar stores, with other retail outlets playing a supplementary role, the company rethought its product distribution and made the heavy capital investments necessary to build a best-in-class e-commerce operation and digitize its real-world stores to create a seamless online-offline experience for consumers. Today the company is one of the most successful in its industry and is looked to as a model for tailoring online content to enhance brand awareness and drive sales.
No individual record is particularly valuable, but having every record opens the door to extreme value.
This sector generates data from a multitude of sources, from instrumented production machinery (process control), to supply chain management systems, to systems that monitor the performance of products that have already been sold (e.g., during a single cross-country flight, a Boeing 737 generates 240 terabytes of data). And the amount of data generated will continue to grow exponentially. The number of RFID tags sold globally is projected to rise from 12 million in 2011 to 209 billion in 2021. IT systems installed along the value chain to monitor the extended enterprise are creating additional stores of increasingly complex data, which currently tends to reside only in the IT system where it is generated. Manufacturers will also begin to combine data from different systems including, for example, computer-aided design, computer-aided engineering, computer-aided manufacturing, collaborative product development management, and digital manufacturing, and across organizational boundaries in, for instance, end-to-end supply chain data.
But obviously it takes more than good people and processes. You need the right technology.
Let’s get down to brass tacks on what the software is about
We’re based on an open source core. A complete, integrated enterprise platform leveraging open source
HOSS business model - core set of platform capabilities – we contribute actively into that community.
and we layer value added software on top - that’s how we run our business.
But what’s truly differentiating about our platform is the enterprise experience you get. It’s why we’re able to claim 7 of the top ten banks and 9 of the top ten telcos are our customers. For regulated industries, the enterprise experience is critical.
Multi-cloud – No vendor lock in. Work in the environment of your choice. Better pricing leverage
Managed TCO – Multiple pricing and deployment options
Integrated – Integrated components with shared metadata, security and operations
Secure - Protect sensitive data from unauthorized access – encryption, key management
Compliance – Full auditing and visibility
Governance – Ensure data veracity
IoT and predictive analytics.
Company Background: TE Connectivity (NYSE: TEL) is a $12 billion global technology leader. Our connectivity and sensor solutions are essential in today's increasingly connected world. We collaborate with engineers to transform their concepts into creations – redefining what's possible using intelligent, efficient and high-performing TE products and solutions proven in harsh environments. Our 72,000 people, including over 7,000 engineers, partner with customers in close to 150 countries across a wide range of industries. TE’s connectivity and sensor solutions are key enablers in our increasingly
connected world. Smarter factories, connected vehicles, safer and more advanced medical devices, and data everywhere are underlying market trends creating significant opportunities for TE.
Use Case: Hadoop is being used to bring together data from multiple sources including ERP data (SAP), Digital Interaction (Omniture), CRM (Saleforce) & (eloquoa), Factory machine data, and external data (Weather, Social).
Note: The content of this slide is based on the Monsanto slide. The slide was created in February 2014.
Company Background:
Monsanto is a major agricultural company that sells seeds and genetic traits developed through biotechnology and crop protection chemicals. Their mission is to attack hunger while our world population grows from 7 billion to 9 billion people, helping farmers produce as much food in the next few decades as they have in the last 10,000 years combined.
Use Case:
It takes 5-10 years to bring one new product to market because of the intensive research, testing, and evaluation that needs to be done during the R&D process. Meanwhile, Monsanto’s data from labs, the field, literature, and so on are all stored separately and it seemed impossible to combine those data sources. Their researchers were working in special purpose analytical systems that made it difficult to share their results and combine information.
The biotech company has deployed Cloudera Enterprise with Cloudera Search to knock down data silos and help researchers share their data. With Cloudera Search, they are indexing images of plants at various stages in their lifecycles to optimize the production processes. Their Cloudera system is integrated with the Oracle Exadata data warehouse, which delivers spatial awareness and visualization.
Cloudera Enterprise with Search helps researchers work together so they can automate many data-driven decisions in the R&D pipeline, answering questions like:
What traits do we want to integrate into this germ plasm?
Which germ plasms do we integrate -- which male and female plants should be brought together to create a child plant?
Once that child plant is created, where should it be tested -- in the northern or southern part of the country?
This ultimately helps them reduce the time to market of new products.The company is giving scientists direct access to Hadoop so everyone has a single view of their R&D data. Cloudera Navigator will help them increase user adoption of the Cloudera platform even further by offering auditing and access control.
Data sources:
R&D data
Solution
Modern Data Platform: Cloudera Enterprise
Workloads: Analytic Database
Components: Apache HBase, Apache Hive, Apache Oozie, Apache Pig, Apache Sqoop, Apache ZooKeeper, Cloudera Navigator, Cloudera Search
Industry Use Case:
Product Innovation
IoT and predictive maintenance.
Company Background: Rockwell Automation
Millions of sensors wired to controllers in machinery measuring everything from Speed, Force, Temperature, Pressure, RPM
Typical Data volumes of 1 PB/ factory/ month; Potentially going up to 30 - 40 Petabytes of data per month
iTrak Analytics application built on top of Cloudera on Azure to monitor the performance of individual manufacturing systems in real-time
Key Use cases:IoT Enabled ‘Predictive Maintenance’
Predict failures before they happen
Reduce or eliminate downtime
Real time animation dashboards using Itrak
Improved ‘Triaging & Support’
Brokering the right resource with a problem
Improved SLAs
Optimize the use of skilled resources
The first one is a Predictive Maintenance case study within the heavy machinery domain.
Our client is one of the leading heavy equipment fleet manufacturers and they are using Cloudera in an IoT setting to – a) Continuously monitor performance of their fleet and b) do predictive maintenance.
So, their fleet has a number of sensors that are embedded; and it continuously monitors the performance and health of each of the equipment in various locations and sends data back to the data hub– including temp, pressure, force, torque etc.
They are using Cloudera to parse this large volume of high velocity sensor data that is coming in from each of their fleet -- every second.
They are able to then process and analyze all of this data in our platform, combine this with other data sources from both within and outside of their organization; in order to do things like - performance analysis, advanced defect detection & predictive maintenance.
[FANUC] Our customer is one of the world’s leading supplier of robotics and factory automation systems. They supply robotics equipment to industries as diverse as aerospace, agriculture, food and beverage, medical devices, and textile industries, to name a few. They also provides engineering, service support, analysis, and system maintenance.
Our customer has built a ZDT robotics monitoring solution, that sits on top of the Hadoop platform.
Zero Down Time (ZDT) Application – a software platform which analyzes data from GM’s robots throughout its factories to detect potential problems that could lead to failures in the production line.
They are using Hadoop platform to gather, store and analyze sensor data files from the thousands of robots across manufacturing plants
If a potential failure is identified, ZDT alerts GM and FANUC’s Service Center. Parts and support can then be delivered to tackle the issue before any downtime occurs.
Apart from lowering down time, using ZDT, they can can collect data generated from their robots to determine how to optimize their Customer’s manufacturing environment by
reducing energy consumption,
extending equipment life and
improving cycle time and product quality.
[VOITH] Our customer is one of the global leaders in manufacturing turbines, generators and automation solutions for hydro-electric power stations.
They have built and Acoustic monitoring solution built on top of Hadoop to monitor the performance of these massive and expensive turbines.
It is similar to what a mechanic does while assessing your car. About 50 % of what a mechanic finds out about your car comes from listening for potential problems.
HyGuard applies this principle to hydropower plants.” HyGuard technology works through a series of sensors installed at strategic locations around a remote, unmanned power plant.
They are using Hadoop/ Cloudera to gather and analyze acoustic data/audio files coming from the turbines in the power plants, in real-time
They are then able to detect anomalies/ variations in the sound waves coming from these machines to detect potential wear and tear
And if, for example, one of the sensors detects an anomaly, it sends out an alert and an operator, who is perhaps, based hundreds of kilometers away – can make a quick assessment, and immediately send the recording to an expert for analysis anywhere in the world.
They are able to
continually monitor ‘’health’’ status of the turbine in order to
detect issues before they occur,
predict when the turbine will fail &
do predictive maintenance
Note: The content of this slide is based on 2016 Press Release. The slide was created in Jan, 2017.
Company Background:
SanDisk is an American manufacturer of flash memory products, including memory cards and readers, USB flash drives, and solid state drives. SanDisk is one of the world’s leading producers of data storage products based on flash memory. The inherent nature of the technology manufacturing industry in tandem with its market growth translates into constantly increasing volumes of manufacturing data that SanDisk must write, cleanse, process, and log at every stage of the manufacturing process.
Use Case:
By implementing an enterprise data hub with Cloudera, SanDisk can collect, analyze, and test all data generated throughout the manufacturing pipeline -- from design to product assembly, and from groups spanning the company whose data traditionally resided in relational databases, NoSQL databases, Microsoft Excel spreadsheets and more, in a single, secure location. The Cloudera platform, including components like Impala, Apache Spark, and Apache Hive, allows users to search, query, and analyze their data, while also enabling machine learning across the vast dataset. Cloudera Navigator and Apache Sentry are critical components of the platform, ensuring real-time data encryption, fine-grained authorization policies, and role-based access controls to protect SanDisk’s intellectual property.
“With the creation and adoption of the Hadoop data platform and an Enterprise Data Centric Architecture, SanDisk and Cloudera are leading, driving, and enabling net new capabilities, to perform advanced analytics, machine learning, and pattern matching at scale on SanDisk data at different stages of the manufacturing process,” said Janet George, fellow/chief data scientist at SanDisk.
Solution
Modern Data Platform: Cloudera Enterprise; Cloudera Navigator
Workloads: Analytic Database
Components: Impala, Apache Spark, and Apache Hive; Apache Sentry
Industry Use Case:
Product innovation
Quality assurance
Read more with the published press release: http://www.cloudera.com/about-cloudera/press-center/press-releases/2016-01-26-SanDisk-Maximizes-Production-Quality-with-Machine-Learning-and-Analytics-Powered-by-Cloudera-Enterprise.html
Link to account record in SFDC: https://na6.salesforce.com/0018000000y2EIt?srPos=0&srKp=001
Omneo, a Division of Camstar, drives $15 to $25 million in annual savings for electronics manufacturers based on its ability to address supply chain issues in near real time.
Background: Today’s consumers have high expectations for the products we use everyday, particularly when it comes to our devices. We want new products to come out faster, at lower prices, with more capabilities than before. But we also demand increased reliability. Camstar, a 30-year veteran in the enterprise manufacturing and supply chain space, saw this trend and identified an opportunity.
Challenge: Electronic device manufacturers are responsible for delivering millions of products, each comprised of hundreds of components that are sourced from all over the globe, put together, and pushed through distribution channels to customers. There’s a large margin for error. Camstar set out to address this by spinning off a division called Omneo, who set out to build 360-degree view into supply chain and product quality.
Solution: After evaluating IBM Netezza, Infobright, Cassandra, MongoDB, and Hadoop, Omneo decided to try out Hadoop based on 3 main factors:
Scalability to grow with customers’ needs over time
Flexibility to meet the needs of diverse customers and data sets in a multi-tenant environment
Low TCO for an efficient big data solution
The team downloaded Cloudera Express since it was easy and no one had any prior experience with the technology. After a few months of demonstrating promising results, Omneo decided to perform a TCO analysis of Cloudera vs. IBM Netezza and their legacy (Oracle) data warehouse. Cloudera’s costs came in 75% lower per TB than IBM Netezza and 90% lower per TB than the incumbent. But before moving forward with a Cloudera Enterprise subscription, the team compared the different Hadoop vendors. They ultimately decided to move forward with Cloudera due to 4 main factors:
Long-term company strategy and viability
Ease of use and maturity of Cloudera Manager
Enterprise-grade support
Dedication to open source
Omneo has deployed a multi-tenant enterprise data hub from Cloudera as the platform behind its supply chain cloud solution, which ingests machine data and existing system data from throughout the manufacturing process, including from clients’ factory data, supplier data, field services, after-market repairs, and re-manufacturing data. The company uses MapReduce to transform and manipulate data into any structure needed; HBase to access specific records in real time; and Cloudera Search to rapidly index all raw data in a way that makes sense for customers.
Results: Omneo’s supply chain SaaS delivers a 360-degree view of the supply chain process in seconds, allowing manufacturers to access their data in different ways, on the fly. If something happens at any supplier that drives a sudden increase in quality issues, they can figure out where the issue stems from and why in minutes or hours. In traditional environments, these investigations would take weeks or months.Instead of spending time trying to pinpoint challenges, manufacturers can spend their time resolving them. Omneo’s clients report total annual savings between $15-25 million each, conservatively.
Webinar with Josh Byrd (Manager Data Architecture & Operations) and David Winters (Principal Engineer, Data Science & Engineering)
Company Background: GoPro helps people capture and share their lives’ most meaningful experiences with others—to celebrate them together. Like how a day on the mountain with friends is more meaningful than one spent alone, the sharing of our collective experiences makes our lives more fun. The world’s most versatile cameras are what we make. Enabling you to share your life through incredible photos and videos is what we do.
Use Case: Platform is called “The Philosopher's Stone” (TPS) -- Processing logs: Raw, gzip, binary, cSV, JSON (Streaming and Batch).
Data Sources:
IoT play
Logs from devices, applications (desktop and mobile), external 3rd party systems and services, internal ERP, web/email marketing, etc. – very diverse data
Some Raw and Gzip, Some Binary and JSON – processing lots of logs
Some streaming single messages and some batch
Using data from equipment's to understand better how customers are using their cameras, how often and how can they instrument the devices better.
Recently (March 2016) used in launch of GoPro Desktop application to measure usage patterns and popularity of features. “What kind of customer is using the app, what cameras do they use, what resolution”? Virtuous cycle – if GoPro can facilitate the sharing of content, then more customer are likely to buy a camera.
Company Background: PRGX Global, Inc. is the world's leading provider of accounts payable recovery audit services. With over 1,400 employees, PRGX operates and serves clients in more than 30 countries and provides its services to over 75 percent of the top 20 global retailers. The company’s goal is to help its clients detect, find, and fix leakage in their procurement and payment processes. To do so, PRGX auditors must analyze purchasing, receiving, and payment transactions, along with buyer/supplier contracts, agreements, and emails, to find and recover overpayments.
Use Case: Working with Cloudera and Talend, PRGX created a high-performance computing platform for data analytics and discovery that could more rapidly process, discover, model, and serve this massive amount of structured and unstructured data. This new platform delivers on average 9-10x performance improvements—with a 45x performance improvement in one case. Faster performance translates into more auditing time. The more auditing time PRGX staff has, the more payment errors they can identify. The result is greater profitability for both PRGX’s clients and the company itself. Additionally, greater scalability and flexibility to incorporate new data types is expected to help PRGX innovate and offer new products and services. PRGX receives over 2 million client files annually, 2.3 petabytes of data “live” for auditing on average. Data includes purchasing, payment, receiving, deals, point of sale, and emails. Document types processed include: EDI, XML, Flat file csv, Flat file delimited, database backups, spreadsheets, Pdfs, Tiff, Jpeg, Png, Prns, Emails, Microfiche, Proprietary formats
Go through the emails etc to find vendor agreements (search etc) and get % of recovery of that (dave shuman)
IoT and predictive analytics.
Company Background: Navistar is a leading manufacturer of commercial trucks, buses, defense vehicles and engines. Navistar International Corporation (NYSE:NAV) is comprised of four segments: North America Truck, North America Parts, Global Operations, and Financial Services. The company’s portfolio includes International® brand commercial and military trucks, proprietary diesel engines, and IC Bus™ brand school and commercial buses.
Use Case: Hadoop is being used to bring together data from multiple telematics sources to synthesize a fleet-wide view and enable predictive analytics.
http://www.cio.com/article/3009011/analytics/navistar-cio-looks-to-big-data-analytics-to-fuel-turnaround.html