Hadoop is regarded as a key capability for implementing Big Data initiatives in the enterprise, but organizations have yet to realize its full business benefits. In this webinar, Pivotal and guest Forrester Research, Inc. Identify the use cases driving Hadoop adoption, and explore what is needed to transform initial investments into results.
Learn about:
Challenges Hadoop introduces, and how the right tools and platforms can help address them
Shifts in the industry with regards to SQL and NoSQL systems and their implications to Big Data analytics
Applying in-memory technologies for data management systems, data analytics, transactional processing and operational databases
Watch the on-demand webinar here:
http://www.pivotal.io/big-data/pivotal-forrester-operationalizing-data-analytics-webinar
Learn how to maximize business value from all of your data here: http://www.pivotal.io/big-data/pivotal-hd
Customer Spotlight: How WellCare Accelerated Big Data Delivery to Improve Ana...VMware Tanzu
WellCare uses Attunity Replicate to offload data quickly and easily from its SQL Server and Oracle systems into Pivotal Greenplum Database. With the help of Attunity and Pivotal, WellCare has successfully enabled real-time reporting and analytics to gain a competitive edge.
Additional information:
https://pivotal.io/big-data/webinar/healthcare-success-story-wellcare
Webinar recording:
https://youtu.be/ZYiwRUxlY2s
Data technology experts from Pivotal give the latest perspective on how big data analytics and applications are transforming organizations across industries.
This event provides an opportunity to learn about new developments in the rapidly-changing world of big data and understand best practices in creating Internet of Things (IoT) applications.
Learn more about the Pivotal Big Data Roadshow: http://pivotal.io/big-data/data-roadshow
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Drive Business Outcomes for Big Data EnvironmentsCisco Services
Bob Eve, Director of Cisco Data Virtualization Business Unit, highlights big data business opportunities and the big data integration challenge in his recent presentation from Cisco Live 2014.
Hadoop is regarded as a key capability for implementing Big Data initiatives in the enterprise, but organizations have yet to realize its full business benefits. In this webinar, Pivotal and guest Forrester Research, Inc. Identify the use cases driving Hadoop adoption, and explore what is needed to transform initial investments into results.
Learn about:
Challenges Hadoop introduces, and how the right tools and platforms can help address them
Shifts in the industry with regards to SQL and NoSQL systems and their implications to Big Data analytics
Applying in-memory technologies for data management systems, data analytics, transactional processing and operational databases
Watch the on-demand webinar here:
http://www.pivotal.io/big-data/pivotal-forrester-operationalizing-data-analytics-webinar
Learn how to maximize business value from all of your data here: http://www.pivotal.io/big-data/pivotal-hd
Customer Spotlight: How WellCare Accelerated Big Data Delivery to Improve Ana...VMware Tanzu
WellCare uses Attunity Replicate to offload data quickly and easily from its SQL Server and Oracle systems into Pivotal Greenplum Database. With the help of Attunity and Pivotal, WellCare has successfully enabled real-time reporting and analytics to gain a competitive edge.
Additional information:
https://pivotal.io/big-data/webinar/healthcare-success-story-wellcare
Webinar recording:
https://youtu.be/ZYiwRUxlY2s
Data technology experts from Pivotal give the latest perspective on how big data analytics and applications are transforming organizations across industries.
This event provides an opportunity to learn about new developments in the rapidly-changing world of big data and understand best practices in creating Internet of Things (IoT) applications.
Learn more about the Pivotal Big Data Roadshow: http://pivotal.io/big-data/data-roadshow
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Drive Business Outcomes for Big Data EnvironmentsCisco Services
Bob Eve, Director of Cisco Data Virtualization Business Unit, highlights big data business opportunities and the big data integration challenge in his recent presentation from Cisco Live 2014.
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
Constant changes in the healthcare industry continue to drive innovation in technology and serve as a catalyst for cloud adoption. This trend will continue to evolve and accelerate in the coming years with the increasing need to store and analyze vast amounts of information for personal and population health initiatives.
We joined guest speaker from HIMSS Analytics, James Gaston, to discuss the impact of the cloud on data architecture in healthcare. Topics included:
-The benefits and risks of moving data and analytics environments to the cloud
-Main healthcare use cases for cloud migration
-Deep dive into two leading healthcare organizations’ cloud journeys including drivers, challenges, benefits, and lessons learned
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Global Data Management – a practical framework to rethinking enterprise, oper...DataWorks Summit
Global data management is not a newly coined term. However, what it stands for is actually widening in scope particularly around data-in-motion and data-at-rest. Significant technology trends such as IoT, cloud, AI/ML, blockchain, and streaming data have given rise to excessive data volumes and also innovative use cases. The scope for global data management now extends all the way from ingestion, processing, storage, governance, security to analysis. With a good number of endpoints served through the cloud and major application footprints remaining on-premisess, it is pertinent to have a global data management strategy that supports hybrid models and more specifically, a multi-cloud model.
Many modern businesses struggle to balance the demands of rapidly innovating through new technologies like machine learning with the need to keep data safe and secure, all while responding to a constantly changing regulatory landscape. This puts data stewards, data engineers, architects, data scientists, and analysts under intense pressure as they must contend with existing and new applications, multiple logical and physical data stores and sources, diverse data types, and data spread across several deployment environments.
Attend this session led by Matt Aslett, Research Director at 451 Research and Dinesh Chandrasekhar, Director, Hortonworks to learn more about creating a framework for your enterprise that offers guidance on how to think about global data management—priorities, responsibilities, key stakeholders, compliance, and growth.
Speakers
Dinesh Chandrasekhar, Hortonworks, Director Product Marketing
Matt Aslett, 451 Research, Research Director, Data platforms and Analytics
Unlocking data science in the enterprise - with Oracle and ClouderaCloudera, Inc.
Today, leading organizations struggle to make their data scientists productive in their modern data platforms. Data scientists find it difficult to use their existing open source languages (e.g. Python, R) and libraries with Hadoop, especially when the clusters are secured with Kerberos. At the same time, IT doesn't want to give special access to these users, who require very diverse and specific environment configurations to run their experiments. As a result, most data science teams work away from the big data cluster, often on their laptops or in other data silos. The negative business impacts are a lack of insight and agility for the most advanced users, and the security, governance, and cost issues that arise from data silos.
Sudhir Menon, Vice President of Enterprise Information Management on Hilton’s innovation/renovation journey to create data as an enterprise asset .The data framework using HortonWorks Hadoop as the platform is the single source and repository for any enterprise-class data for reporting, analytics and data science. To achieve this transformation and levarage data as a true enterprise asset, we focused on a roadmap with 3 major objectives:
• API based delivery of data enabling real-time use
• Decommissioning legacy tools/environments
• Managing the data architecture for all IT investments in a Big Data model with scalability over years
Platform and framework to accomplish this roadmap include:
• Repository of ‘master’ data
• Real-time processing of data for the enterprise
• Best-in-class BI tools to analyze and visualize data
• Data science tools to identify underlying trends in data
Our VISION
We enable travel & hospitality market disruption through data & analytics innovation
Our MISSION
We drive Hilton’s performance with actioned, integrated insights, through market-leading, differentiated expertise and continuous innovation.
Our STRATEGy
1. Create an aspirational and unrivaled hospitality Data & Analytics team that attracts the best talent
2. Become a trusted strategic business partner, driving untapped incremental value.
3. Provide timely access to quality data and innovative solutions.
BI congres 2016-4: Hoe groei je als organisatie in analytische maturiteit? - ...BICC Thomas More
9de BI congres van het BICC-Thomas More: 24 maart 2016
Waar traditionele BI voornamelijk beschrijft van WAT er gebeurd is, kunnen we met Self-Service BI een stapje verder gaan en een eerste verklaring geven WAAROM iets zich voordoet. Als we echter tot de wortel willen geraken, moeten we gebruik maken van Analytics.
Traditional BI vs. Business Data Lake – A ComparisonCapgemini
Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses on structured data but they are not designed to handle unstructured data.
For these systems Big Data brings big problems because the data that flows in may be either structured or unstructured. That makes them hugely limited when it comes to delivering Big Data benefits.
The way forward is a complete rethink of the way we use BI - in terms of how the data is ingested, stored and analyzed.
More information: http://www.capgemini.com/big-data-analytics/pivotal
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...Data Con LA
Leading entrepreneurial outfits are disrupting traditional companies by rapidly building data-driven apps. They employ top software talent and effectively use storage, analytics and app-dev tools from various open source ecosystems. We show how companies of all sizes are now transforming into data-driven enterprises using their existing software skill sets by leveraging a single platform that combines flexible data storage systems, advanced analytics and agile app-dev PaaS frameworks, all available now in open source forums.
The Vortex of Change - Digital Transformation (Presented by Intel)Cloudera, Inc.
The vortex of change continues all around us – inside the company, with our customers and partners. A new norm is upon us. Business models are being turned upside down – the hunters now the hunted, global equalization – size is no longer a guarantee of success. The innovative survive and thrive…the nervous and slow go under...what does all this change means for you? Find out how does Intel’s strengths help our customers in this world of change.
Revolution in Business Analytics-Zika Virus ExampleBardess Group
Even from the “man in the street” perspective, there is a sense that we are living in an increasingly algorithmic world. Self-driving cars, pizza delivery by drone, and smart houses are commonplace. The technologies enabling this revolution are both simultaneously mature and evolving rapidly.
In this session, we’ll took a look at a real world problem, the recent global outbreak of the ZIka virus, and used data analytics technologies to gain valuable insights that can assist authorities and the general public to understand and potentially prevent the spread of this disease.
Bardess Group, a sponsor of the event and business analytics consulting firm, will demonstrate how huge, extremely jagged data from a variety of sources can be collected and prepared and rapidly made available for analysis. Advanced machine learning and predictive analysis further enhance the value of those insights.
Finally, Bardess will make the case that using a systematic approach to conceptually visualize the strategic journey to insightful business analytics, the analytics value chain, can assist any organization prepare for this revolution in analytics.
Also see http://cloudera.qlik.com for the demos.
Achieve New Heights with Modern AnalyticsSense Corp
Businesses can leverage modern cloud platforms and practices for net-new solutions and to enhance existing capabilities, resulting in an upgrade in quality, increased speed-to-market, global deployment capability at scale, and improved cost transparency.
In this webinar, Josh Rachner, data practice lead at Sense Corp, will help prepare you for your analytics transformation and explore how to make the most on new platforms by:
Building a strong understanding of the rise, value, and direction of cloud analytics
Exploring the difference between modern and legacy systems, the Big Three technologies, and different implementation scenarios
Sharing the nine things you need to know as you reach for the clouds
You’ll leave with our pre-flight checklist to ensure your organization will achieve new heights.
Data Engineering the Startup Way - AWS Startup Day Chicago 2018Amazon Web Services
Uptake is the industrial analytics platform that delivers products to major industries to increase productivity, security, safety and reliability.
About the Event
Launching a successful startup takes more than building on the most flexible, reliable, and scalable infrastructure available today. Startup Day is an opportunity to hear from successful startups about how they've tackled the unique technical challenges in their industry. It's also an opportunity to meet other startup leaders in your community to share ideas, help each other grow, and inspire each other while tackling problems that affect your organization.
Who Should Attend?
This event is built for early stage (pre-seed & bootstrapped) technical leads and entrepreneurs. Attendees will learn from a technical perspective what did and didn't work well from other startups across a diverse range of industries. Hear what funded and late stage startups wish they knew before they began building. Learn how companies are leveraging SageMaker for optimizing Machine Learning training and deployment, deploying ECS for container orchestration, and using Lambda to build companies that are entirely serverless.
IT Financial Intelligence - How the world’s largest companies are evolving th...Brad Swenson
Most enterprises understand the benefits that can be derived from increasing IT cost transparency, managing IT like a business, and improving the interaction between IT and business units. Yet, despite the inherent understanding behind these admirable goals, many IT financial management initiatives and implementation projects fail to live up to expectations
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010.
bit.ly/googlehackathonsxsw
bit.ly/gcodelabs
Moving to the Cloud: Modernizing Data Architecture in HealthcarePerficient, Inc.
Constant changes in the healthcare industry continue to drive innovation in technology and serve as a catalyst for cloud adoption. This trend will continue to evolve and accelerate in the coming years with the increasing need to store and analyze vast amounts of information for personal and population health initiatives.
We joined guest speaker from HIMSS Analytics, James Gaston, to discuss the impact of the cloud on data architecture in healthcare. Topics included:
-The benefits and risks of moving data and analytics environments to the cloud
-Main healthcare use cases for cloud migration
-Deep dive into two leading healthcare organizations’ cloud journeys including drivers, challenges, benefits, and lessons learned
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Global Data Management – a practical framework to rethinking enterprise, oper...DataWorks Summit
Global data management is not a newly coined term. However, what it stands for is actually widening in scope particularly around data-in-motion and data-at-rest. Significant technology trends such as IoT, cloud, AI/ML, blockchain, and streaming data have given rise to excessive data volumes and also innovative use cases. The scope for global data management now extends all the way from ingestion, processing, storage, governance, security to analysis. With a good number of endpoints served through the cloud and major application footprints remaining on-premisess, it is pertinent to have a global data management strategy that supports hybrid models and more specifically, a multi-cloud model.
Many modern businesses struggle to balance the demands of rapidly innovating through new technologies like machine learning with the need to keep data safe and secure, all while responding to a constantly changing regulatory landscape. This puts data stewards, data engineers, architects, data scientists, and analysts under intense pressure as they must contend with existing and new applications, multiple logical and physical data stores and sources, diverse data types, and data spread across several deployment environments.
Attend this session led by Matt Aslett, Research Director at 451 Research and Dinesh Chandrasekhar, Director, Hortonworks to learn more about creating a framework for your enterprise that offers guidance on how to think about global data management—priorities, responsibilities, key stakeholders, compliance, and growth.
Speakers
Dinesh Chandrasekhar, Hortonworks, Director Product Marketing
Matt Aslett, 451 Research, Research Director, Data platforms and Analytics
Unlocking data science in the enterprise - with Oracle and ClouderaCloudera, Inc.
Today, leading organizations struggle to make their data scientists productive in their modern data platforms. Data scientists find it difficult to use their existing open source languages (e.g. Python, R) and libraries with Hadoop, especially when the clusters are secured with Kerberos. At the same time, IT doesn't want to give special access to these users, who require very diverse and specific environment configurations to run their experiments. As a result, most data science teams work away from the big data cluster, often on their laptops or in other data silos. The negative business impacts are a lack of insight and agility for the most advanced users, and the security, governance, and cost issues that arise from data silos.
Sudhir Menon, Vice President of Enterprise Information Management on Hilton’s innovation/renovation journey to create data as an enterprise asset .The data framework using HortonWorks Hadoop as the platform is the single source and repository for any enterprise-class data for reporting, analytics and data science. To achieve this transformation and levarage data as a true enterprise asset, we focused on a roadmap with 3 major objectives:
• API based delivery of data enabling real-time use
• Decommissioning legacy tools/environments
• Managing the data architecture for all IT investments in a Big Data model with scalability over years
Platform and framework to accomplish this roadmap include:
• Repository of ‘master’ data
• Real-time processing of data for the enterprise
• Best-in-class BI tools to analyze and visualize data
• Data science tools to identify underlying trends in data
Our VISION
We enable travel & hospitality market disruption through data & analytics innovation
Our MISSION
We drive Hilton’s performance with actioned, integrated insights, through market-leading, differentiated expertise and continuous innovation.
Our STRATEGy
1. Create an aspirational and unrivaled hospitality Data & Analytics team that attracts the best talent
2. Become a trusted strategic business partner, driving untapped incremental value.
3. Provide timely access to quality data and innovative solutions.
BI congres 2016-4: Hoe groei je als organisatie in analytische maturiteit? - ...BICC Thomas More
9de BI congres van het BICC-Thomas More: 24 maart 2016
Waar traditionele BI voornamelijk beschrijft van WAT er gebeurd is, kunnen we met Self-Service BI een stapje verder gaan en een eerste verklaring geven WAAROM iets zich voordoet. Als we echter tot de wortel willen geraken, moeten we gebruik maken van Analytics.
Traditional BI vs. Business Data Lake – A ComparisonCapgemini
Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses on structured data but they are not designed to handle unstructured data.
For these systems Big Data brings big problems because the data that flows in may be either structured or unstructured. That makes them hugely limited when it comes to delivering Big Data benefits.
The way forward is a complete rethink of the way we use BI - in terms of how the data is ingested, stored and analyzed.
More information: http://www.capgemini.com/big-data-analytics/pivotal
Big Data Day LA 2015 - Transforming into a data driven enterprise using exist...Data Con LA
Leading entrepreneurial outfits are disrupting traditional companies by rapidly building data-driven apps. They employ top software talent and effectively use storage, analytics and app-dev tools from various open source ecosystems. We show how companies of all sizes are now transforming into data-driven enterprises using their existing software skill sets by leveraging a single platform that combines flexible data storage systems, advanced analytics and agile app-dev PaaS frameworks, all available now in open source forums.
The Vortex of Change - Digital Transformation (Presented by Intel)Cloudera, Inc.
The vortex of change continues all around us – inside the company, with our customers and partners. A new norm is upon us. Business models are being turned upside down – the hunters now the hunted, global equalization – size is no longer a guarantee of success. The innovative survive and thrive…the nervous and slow go under...what does all this change means for you? Find out how does Intel’s strengths help our customers in this world of change.
Revolution in Business Analytics-Zika Virus ExampleBardess Group
Even from the “man in the street” perspective, there is a sense that we are living in an increasingly algorithmic world. Self-driving cars, pizza delivery by drone, and smart houses are commonplace. The technologies enabling this revolution are both simultaneously mature and evolving rapidly.
In this session, we’ll took a look at a real world problem, the recent global outbreak of the ZIka virus, and used data analytics technologies to gain valuable insights that can assist authorities and the general public to understand and potentially prevent the spread of this disease.
Bardess Group, a sponsor of the event and business analytics consulting firm, will demonstrate how huge, extremely jagged data from a variety of sources can be collected and prepared and rapidly made available for analysis. Advanced machine learning and predictive analysis further enhance the value of those insights.
Finally, Bardess will make the case that using a systematic approach to conceptually visualize the strategic journey to insightful business analytics, the analytics value chain, can assist any organization prepare for this revolution in analytics.
Also see http://cloudera.qlik.com for the demos.
Achieve New Heights with Modern AnalyticsSense Corp
Businesses can leverage modern cloud platforms and practices for net-new solutions and to enhance existing capabilities, resulting in an upgrade in quality, increased speed-to-market, global deployment capability at scale, and improved cost transparency.
In this webinar, Josh Rachner, data practice lead at Sense Corp, will help prepare you for your analytics transformation and explore how to make the most on new platforms by:
Building a strong understanding of the rise, value, and direction of cloud analytics
Exploring the difference between modern and legacy systems, the Big Three technologies, and different implementation scenarios
Sharing the nine things you need to know as you reach for the clouds
You’ll leave with our pre-flight checklist to ensure your organization will achieve new heights.
Data Engineering the Startup Way - AWS Startup Day Chicago 2018Amazon Web Services
Uptake is the industrial analytics platform that delivers products to major industries to increase productivity, security, safety and reliability.
About the Event
Launching a successful startup takes more than building on the most flexible, reliable, and scalable infrastructure available today. Startup Day is an opportunity to hear from successful startups about how they've tackled the unique technical challenges in their industry. It's also an opportunity to meet other startup leaders in your community to share ideas, help each other grow, and inspire each other while tackling problems that affect your organization.
Who Should Attend?
This event is built for early stage (pre-seed & bootstrapped) technical leads and entrepreneurs. Attendees will learn from a technical perspective what did and didn't work well from other startups across a diverse range of industries. Hear what funded and late stage startups wish they knew before they began building. Learn how companies are leveraging SageMaker for optimizing Machine Learning training and deployment, deploying ECS for container orchestration, and using Lambda to build companies that are entirely serverless.
IT Financial Intelligence - How the world’s largest companies are evolving th...Brad Swenson
Most enterprises understand the benefits that can be derived from increasing IT cost transparency, managing IT like a business, and improving the interaction between IT and business units. Yet, despite the inherent understanding behind these admirable goals, many IT financial management initiatives and implementation projects fail to live up to expectations
App Engine Overview @ Google Hackathon SXSW 2010Chris Schalk
This is an overview presentation on Google App Engine. This was given at the Google hackathon @ SXSW Interactive, 2010.
bit.ly/googlehackathonsxsw
bit.ly/gcodelabs
Docker & aPaaS: Enterprise Innovation and Trends for 2015WaveMaker, Inc.
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
The last 18+ months have proven to be like no other time in modern history, and it has had a profound effect on the supply chain in the manufacturing industry. This disruption has meant many restless nights worrying about supply chains, workforce agility, capacity planning, resource allocation, and much more for manufacturers. Manufacturers have realized that better planning and preparedness are crucial to adapting to the rapid changes in demand seen in today's current climate.
In this webinar, you will learn how to address these challenges head-on as we discuss how your organization can become more agile and scale to your specific business requirements and how Cloud ERP systems can support better planning and preparedness for what's next.
________________________________________
About The Presenter
Steve Canter - Director of Global Service Delivery
Steve Canter has over 25 years of experience in the information technology industry. Steve has been responsible for delivering solutions to many medium-sized and large companies in a variety of industries as a consultant and project manager. Steve also brings a unique perspective to SmartERP, having spent over ten years as the CIO for a manufacturing and distribution company. During that period, he also helped shape product and customer service strategy at Microsoft and Oracle as a member of several customer advisory boards.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Moving to the cloud in regulated environmentsKev Miller
Moving to the cloud in regulated environments - presentation by Astrix President, Dale Curtis at Lab Informatics Summit - details the process for moving from traditional premise-based lab tech to the cloud
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Get ahead of the cloud or get left behindMatt Mandich
An enterprise cloud computing strategy results in:
Broad consensus on goals and expected results of moving select processes to the cloud
Standardized, consistent approach to evaluating the benefits and challenges of cloud projects
Clear requirements for the negotiation and monitoring of partnerships with cloud service providers
Understanding and consensus on the enabling and managing role IT will play in future cloud initiatives
Goals and a roadmap for transforming internal IT from asset managers to service broker
Demystifying Cloud Economics – Think Big: How to Build an Investment Case for...Amazon Web Services
While cloud is fast becoming the new normal for organisations of all sizes, many IT executives & budget owners still struggle to articulate the business value of moving to the cloud in terms that resonate with the Board and Broader C suite. In this session, we will talk through the impact cloud computing is having on the overall IT cost base, not just the infrastructure layer. We will also cover what the typical non-cost benefits are, how they can be measured and communicated. Finally we will provide a framework that can be used to calculate the transformation costs associated with moving to the cloud.
Blair Layton, Business Development Manager – Database Services, Amazon Web Services, APAC
Learn more - http://www.talend.com/products/talend-6
When you’re ready to move to Big Data, connect in the cloud, and across the Internet of Things, Talend 6 streamlines the process. Convert traditional data integration jobs and MapReduce jobs to Spark with the click of a button, and realize the potential of real-time data-driven decision making. Learn more about Talend and Spark.
Talend 6 also brings continuous delivery, MDM REST API, plus data masking and semantic discovery to our products.
Cortana Analytics Workshop: Milliman Integrate for Cortana AnalyticsMSAdvAnalytics
Paul Maher. Milliman Integrate is a SaaS offering from Milliman for the life insurance market to democratize actuarial modeling and financial reporting. Actuaries use mathematics, statistics, financial models, and simulations on a customer's profile to evaluate short- and long-term risks. The goal of Milliman Integrate is to allow actuaries to focus on business processes and analysis rather than complex infrastructure details. Come join this session to learn how Milliman is using Cortana Analytics and Azure to power Milliman Integrate, which reimagines the relationships between people, process, and technology to manage risk and maximize efficiencies. Go to https://channel9.msdn.com/ to find the recording of this session.
How Finance is Adopting Analytics, and Reacting to Changes in the Marketplace Emtec Inc.
Emtec Finance and Technology Summit Presentation: Keynote with Jack Berkowitz
Vice President, Product Management, Business Analytics,
Oracle Corporation
Navigating the Future of the Cloud to Fuel InnovationPerficient, Inc.
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1. Cloud Apps World – Excel LondonNovember 12. 2014 1
BITSA
Business/IT Strategy & Architecture
Cloud Apps World Europe
Unlocking the value of
Big Data/Analytics
Linkedin: Steef Klein
2. Cloud Apps World – Excel LondonNovember 12. 2014 2
• Comprehending the challenges of storing and understanding big data
• Best practice in using the cloud to better manage data (big and small)
• Examining the benefits: Case study examples of cloud data management optimising
ROI
• Analysis: What tools are available to use the cloud to analyse big data and boost its
value?
• Security considerations: Necessary steps organisations should take to safeguard data
accessed via the cloud
Data Management Panel
Unlocking the business value of integrating data into the cloud
#Appsworld: November 12. 14:00
3. Cloud Apps World – Excel LondonNovember 12. 2014 3
• Big data competitors. These are organizations that have access to extensive information from
operations or customer relationships, and use that data intensively. Examples include investment
firms and functions such as marketing.
• Overachievers. These are organizations that have limited access to data, but are committed to
using it as much as possible to inform decisions. Examples include consumer packaged goods
companies and operations departments.
• Underachievers. These are organizations that have access to extensive information, but fail to
take advantage of it. Examples include telecom companies, and finance and sales departments.
• Disadvantaged. These are organizations with limited access to data that rarely use information to
support the business. Examples include healthcare and human resources.
Big/Data analytics
The industries willingness to use it.
Source: Thomas Davenport
4. Cloud Apps World – Excel LondonNovember 12. 2014 4
The rise of the 3rd platform
Dedicated, agile and integrated solutions will prevail
•In 2020 > 90% of the total IT industry’s growth will be based upon 3rd platform
initiatives
•The industry’s 3rd platform revenue will be 40% of the total IT industry's revenue
• A mature 3rd platform will support all SMACT¹ building blocks.
Source: IDC¹SMACT: Social business, Mobile solutions, big-data/Analytics, Cloud services & internet of Things
5. Cloud Apps World – Excel LondonNovember 12. 2014 5
SMACT Building Blocks
Social business, Mobile solutions, big-data/Analytics,
Cloud services & internet of Things
6. Cloud Apps World – Excel LondonNovember 12. 2014 6
Cloud Computing Services
SMACT is on the move
• In 2014, parts of SMACT has reached the plateau (aPaaS, SaaS, mobile)
• Big Data is lagging; software industry must integrate this within aPaaS
• IoT is on the radar, but still needs time to mature
• Cloud Services, aPaaS, Mobility, SaaS, iPaaS, has reached plateau
• Social Technologies not mentioned (from IDC), but is embedded within aPaaS, Mobile, etc
Source: Gartner
7. Cloud Apps World – Excel LondonNovember 12. 2014 7
Mission, Vision & Strategy
Many companies struggle with the execution
•Over 50% of all European companies have a negative Free Cash Flow to Firm¹ (Equity) -2013-
• Many of these companies struggle to lower their WC, COGS, etc.
• A sound strategy in combination with an embedded business model change is needed
• Previous too complex 2nd platform related IT solutions prevented a successful roadmap
¹Source: Aswath Damodaran
Process
Learning&Growth
Financial
Customer
STRATEGY MAP BALANCED SCORECARD ACTION PLAN
Process
Theme
Operations Management Objectives Measurement Target Initatitives Budget
Operating Margin
Return on Capital
Revenue growth
On time,
error free
delivery
Short delivery
time
Innovative
value added
products
Improve
Quality
Optimize Supply Chain
& Manufacturing
Processes
Value Streams &
Intelligent equipment.
StrategicSystems
Decisionmakingenvironment
Big Data/Analyticssupport
Mobilesolutions
Highdegreeofflexibility
Skilledand trainedworkforce
Socialmanufacturingenvironment
ChangeInnovationprocess(IT)
Middle Management/
Workforce alignment
•Improve Profitability
•Improve present and future
excess investment returns
•Increase Revenue
• Right, error free, on time
parts
• Be close to the customer
• Deliver intelligent value
stream equipment
• Initiate Quality Control
Program
• Best in class supply chain
& manufacturing KPIs
• Identify Value Streams;
Use Mechatronica
• Middle Management&
Workforce alignedwith
strategy
• Develop the necessary
skills (Lean/Sixsigma)
• Implementmodern
systems
• Reorganize R&D,
multidisciplinaryteams
• Acquire IT personnel
• IntroduceSCRUM
•Market value percentage
•Operating income (EBIT)
•Return On Capital (ROC)
• Free Cash Flow to Firm
growth (FCFF)
•On time delivery to commit
•Deliverytime
•Customerretentionrate
•New customers
• > 99%
•< 2 days
•> 90%
• > 10% of Revenue
• >30%
• > 15% of revenue
• > 12,5 %
• > 7,5% annually
•Total supplychain costs
•Orderfulfillment lead time
•Keycomponentsmaterial
availability
•Inventoryturnoverrate
•Return on R&D investment
• <10 % of revenue
• < 20 days
•< 7 days
• > 8
• > 18%
•Strategic awareness
•Strategic job readiness
•Systems availability
•Reorganizationreadiness
•Profiles &acquisition
•SCRUM certification
•Yr1 – 100%
•Yr1 – 75%; Yr2 – 100%
•Yr1 - 75%; Yr2 – 100%
• Yr1 – 100%
•Yr1 – 100%
•Yr1 – 80%; Yr2 – 100%
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
• $ XXX
•Global processes
• Standardize local factory
processes
•Extend Service network
•Hunterapproach
•Renew ERP
• ImplementMES (Incl.
Quality)
•ImplementAPS (SOP)
•Improve CRM usage
• StrengthenPLM
•Global StrategyProgram
•Job profiles, training
• Communications
program
•Develop training
schedule &execute
8. Cloud Apps World – Excel LondonNovember 12. 2014 8
Optimising your ROI using the 3rd platform
Average annual cost savings about $730K per 100 users
WC and COGS reduction not taken into account.
A 50% reduction of the total supply chain costs is possible within companies which
are laggards.
44%
14%
34%
9% Business productivity
Infrastructure cost
reduction
IT staff productivity
User productivity
Source: IDC
9. Cloud Apps World – Excel LondonNovember 12. 2014 9
High level supply-chain metrics
Improving KPI’s
Source: SCOR
10. Cloud Apps World – Excel LondonNovember 12. 2014 10
On premise based Capex & Working Capital
Revenue 700.000
EBIT(1-t) 45.000
Total WC (15% of revenue) 105.000
Total Capex 42.000
IT Capex (3% of revenue) 13.704
Total Capex depreciation 33.600
Change in NCWC 0
FCFF 36.600
Cloud based Capex & working Capital
Revenue 700.000
EBIT(1-t) + internal IT Opex 46.824
Total WC (11.25% of Revenue) 78.750
Total Capex 37.686
IT Capex (2.1% of revenue) 9.390
Total Capex depreciation 30.149
Change in NCWC -26.250
FCFF 65.537
Operational Excellence improvement
The possible influence of Enterprise aPaaS on Operational Excellence
(An example – Figures are indicative)
• Revenue of medium sized manufacturing company
•Starting WC is 15% of revenue. Based on average WC research in the Mfg industry sector.
• Best in class companies have a Non Cash Working Capital lower than 10% of revenue
• An optimal supply-chain can reduce NCWC with 50% when a more complex supply-chain
is at hand.
•In this example the operating Income Margin (–tax rate) equals 6.4% of revenue. (Laggard)
• The FCFF rises with 168%; the intrinsic value of the company , which is calculated over
multiple years will increase.
• A business plan written for many manufacturing companies with a sound strategy will in
most cases result in moving from a laggard – to a best in class company.
11. Cloud Apps World – Excel LondonNovember 12. 2014 11
How to improve your equipment OEE
How can the OEE of an important asset be improved.
• Down time: $100,000 revenue loss each hour.
• Move to predictive – or prescriptive maintenance.
• Use Big-Data/Analytics to gather and analyze the information,
• Use the SMACT building blocks in order to inform responsible management.
• Use Hadoop to gather and process the data from a variety of sources.
• Use e.g. Apache Mahout, a Hadoop add-on, to create predictive algorithms.
• Use NOSQL – or Graph databases to store collected data.
• Use an Enterprise aPaaS solution to retrieve and display the information.
Source: Big Data Predictive Analytics for Proactive Semiconductor Equipment Maintenance: A Review
12. Cloud Apps World – Excel LondonNovember 12. 2014 12
Enterprise aPaaS Platform
Cluster
Data Store
5
NOSQL
or
Neo4j
GraphDatabase
Business
Logic
Predictive
Algorithms
6 1
2
Data
Mapping &
Reducing
QueryandDisplay
AnyUI
Initialdatafiltering&formatting
4
3
4 Create predictive algorithms inside
Hadoop add-on
5 Store all relevant data into a NOSQL or
Graph database
6
Use aPaaS platform+add-ons to
display end-results
1 Define the different sources to mine
3 Map/Reduce data in Hadoop cluster
Retrieve initial data and filter and
format data within aPaaS platform
2
Big Data/Analytics
Use case example
13. Cloud Apps World – Excel LondonNovember 12. 2014 13
Cloud services and security
Will public Cloud services be accepted by the industry?
• Having your own Enterprise App store is essential.
• Monitoring & controlling enhances corporate security, industry compliance and employee
productivity.
• If your aPaaS platform has a FISMA¹ compliancy it will be certified and accredited by the US
Government.
• New dedicated, multi-tenant government instances will allow U.S. federal, state, and local
agencies to rapidly deploy the latest social and mobile technologies in compliance with
FISMA requirements.
• New AppExchange for Government delivers the app marketplace where agencies can find,
try and deploy cloud apps for the public sector.
• New Government Partner Accelerator Program will train an army of 1,000 integrators to
transform government IT with salesforce.com cloud solutions.
• Two-thirds of U.S. federal Cabinet-level agencies and governments in more than 80 percent
of U.S. states trust salesforce.com to power their social enterprises.
The most eloquent example:
The US government accepts Salesforce1’s aPaaS solution as a secure platform, which
is FISMA compliant.
¹FEDERAL INFORMATION SECURITY MANAGEMENT ACT (FISMA)
14. Cloud Apps World – Excel LondonNovember 12. 2014 14
Available aPaaS development environments
Some available tools to support complete SMACT
Heroku
World’s most powerful
aPaaS polyglot platform.
Elastic Beanstalk
Amazon’s aPaaS solution
Azure
Microsoft’s aPaaS solution
AppFog
An aPaaS differentiator
Acquia
The Drupal only platform
Salesforce1
The leader in Gartners aPaaS magic quadrant Openshift
Red Hat’s aPaaS solution
Engine Yard
Ruby, PHP and Node.js
Google App Engine
Java and Python
CloudBees
Primarily Java
Cloudera Enterprise
Hadoop based
Enterprise Datahub Services
Joyent
An independent aPaaS solution