...Challenges within a CMO Purification Process A Case Study of Crossflow Micro- and Ultrafiltration 6th European Downstream Technology Forum September 7, 2010, Sartorius College, Goettingen Agenda I. II. Introduction Overview applications for CFF at RHB III. Case study I & II IV. Strategies to maintain quality Richter-Helm offers services for (co-)development and manufacture of biopharmaceuticals Business Units and Services In- & Out-Licensing Marketing & Sales Contract development Contract manufacturing Business Development Team GMP-Production Facility, Bovenau 3 Richter-Helm was one of the first companies to produce recombinant proteins in accordance to GMP-guidelines History of Richter-Helm Timeline 1987 1989 1993 1998 2000 2001 Foundation of Pharma Biotechnologie Hannover and start of GMP production Entering contract GMP manufacturing Broadening service portfolio / establishment of contract development services Building up of development centre in Hamburg Planning and start of construction of the new large scale GMP facility in Bovenau First long-term commercial development and supply agreement for large scale facility signed Initiation of GMP production in Bovenau Acquisition by Gedeon Richter Plc and HELM AG Start of in-house development projects Fully remodelled Hannover facility in operation Capacity enlargement in Bovenau More than 20 years of experience in biopharmaceuticals production 3 development and production locations 2003...
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...Ruining Read: Case Study Innovation DeVry College 3/19/16 Can you map the different kinds of innovation in the case study? Which were incremental and which radical/discontinuous? One of the innovation in this case study is E-tailing. Electronic or E-tailing retailing is one of the major channel where company conduct business to business or stay in touch with their consumer where the products of service of good is sell through in the internet. Now in days the music industry has a lot way to streams music without breaking the bank. with technology been invented and with the access of the internet “musicians no longer need to depend on being picked up by A&R staff from major companies who can bear the costs of recording and production of a physical CD. Instead they can use home recording software and either produce a CD themselves or else go straight to MP3 – and then distribute the product globally via newsgroups, chat-rooms, etc. " Musician can Sell their music through advertisement and digital record, website, and much. In this case study the E-tailing channel provide the ultimate and hard copy CD'S that anyone could've imagine. At one point in time CD's were the number one things in the music industry customer purchase a CD's and listen to their music without interruption. Now people purchase their music by download or stream them live. ‘Over 1 billion songs have now been legally purchased and downloaded around the globe, representing a major force against music...
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...ASSIGNMENT: BIG DATA CHALLENGES CASE STUDY TITLE: CONVERTING DATA INTO BUSINESS VALUE AT VOLVO STUDENT’s NAME: JOSEPH OSASUMWEN LECTURER’s NAME: PROF. HOSSEIN FIROUZI COURSE TITLE: CIS 500 DATE: JANUARY 28, 2013. ABSTRACT Big data has posed both challenges and opportunity in our present world of technology sciences. The challenges related to searching, analyzing, manipulating, and organizing are experienced when data explode, this challenges cannot be assign to one sector or field because it has encroach almost all sector relating to healthcare, retailing, manufacturing, governmental institutions, financial services, physical and life sciences. These big data when well managed with the right strategies and IT infrastructure, can support organization in analysis, decision making, better business intelligence, enhance communications capabilities and enrich collaboration, like in the case of VOLVO car corporation whose challenges was transform to better anticipated needs of customer, ad-hoc analysis and employees making inform decision other than guess work. HOW VOLVO CAR CORPORATION INTEGRATED THE CLOUD INTO ITS NETWORKS. Volvo need a global IT infrastructure because its customers are globally, which inspired the car company to select WINDOWS AZURE. The company wanted a new infrastructure to match their huge data challenges, the cloud infrastructure uses the ETL (extract transform load) to stream huge data from the previous DBMS (database management systems)...
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...The Big Data Challenges By Jamia Yant April 19th, 2012 Introduction When Volvo separated from Ford in 2010, it was breaking free from an IT infrastructure that consisted of a tangle of different systems and licenses. The need was there to develop a new stand alone IT infrastructure that could provide better Business Intelligence, boost communication capabilities and enrich collaborations. Volvo Car Corporation Integrates the Cloud into Its Networks The ability to collectively harness the wealth of data being mined was invaluable. Volvo collects terabytes of data from embedded sensors in their cars, from their customer relationship management (CRM) systems, from dealerships, product development and design systems and from their production/factory floors. Volvo then, via the cloud, transfers and archives this Big Data to its Volvo Data Warehouse where it can be stored for Long Term Archival and Retrieval or it can be accessed by Volvo’s employees. In 2010, Volvo stretched across eight main business units and twelve support areas with production plants in 19 countries. The platform used to link employees at the business units, support and production plants together are done via Volvo’s cloud with Saas software as a user interface and display. They have employee web portals, as well as supplier and vendor web portals to improve collaboration. Volvo has a high-performance infrastructure that includes parallel multi-processing, high-speed networking, and...
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...The Big Data Challenges By Jamia Yant April 19th, 2012 Introduction When Volvo separated from Ford in 2010, it was breaking free from an IT infrastructure that consisted of a tangle of different systems and licenses. The need was there to develop a new stand alone IT infrastructure that could provide better Business Intelligence, boost communication capabilities and enrich collaborations. Volvo Car Corporation Integrates the Cloud into Its Networks The ability to collectively harness the wealth of data being mined was invaluable. Volvo collects terabytes of data from embedded sensors in their cars, from their customer relationship management (CRM) systems, from dealerships, product development and design systems and from their production/factory floors. Volvo then, via the cloud, transfers and archives this Big Data to its Volvo Data Warehouse where it can be stored for Long Term Archival and Retrieval or it can be accessed by Volvo’s employees. In 2010, Volvo stretched across eight main business units and twelve support areas with production plants in 19 countries. The platform used to link employees at the business units, support and production plants together are done via Volvo’s cloud with Saas software as a user interface and display. They have employee web portals, as well as supplier and vendor web portals to improve collaboration. Volvo has a high-performance infrastructure that includes parallel multi-processing, high-speed networking, and...
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...The Big Data Challenges April 19th, 2012 Introduction When Volvo separated from Ford in 2010, it was breaking free from an IT infrastructure that consisted of a tangle of different systems and licenses. The need was there to develop a new stand alone IT infrastructure that could provide better Business Intelligence, boost communication capabilities and enrich collaborations. Volvo Car Corporation Integrates the Cloud into Its Networks The ability to collectively harness the wealth of data being mined was invaluable. Volvo collects terabytes of data from embedded sensors in their cars, from their customer relationship management (CRM) systems, from dealerships, product development and design systems and from their production/factory floors. Volvo then, via the cloud, transfers and archives this Big Data to its Volvo Data Warehouse where it can be stored for Long Term Archival and Retrieval or it can be accessed by Volvo’s employees. In 2010, Volvo stretched across eight main business units and twelve support areas with production plants in 19 countries. The platform used to link employees at the business units, support and production plants together are done via Volvo’s cloud with Saas software as a user interface and display. They have employee web portals, as well as supplier and vendor web portals to improve collaboration. Volvo has a high-performance infrastructure that includes parallel multi-processing, high-speed networking, and fast I/O storage...
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...Case%Study%#3% HCM%4550% % Big%Bend%Medical%Center%has%a%diversified%facility%similar%to%many%care%centers% around%the%US,%with%a%majority%of%resources%utilized%by%the%hospital%through%inpatient%care.% Big%Bends%outpatient%facility%is%the%second%largest%revenue%stream%in%the%organization% followed%by%their%dialysis%center%which%is%fractionally%profitable.%The%dilemmas%faced%by%Big% Bend%on%how%to%allocate%the%costs%of%expanding%the%current%outpatient%facility%while% building%a%new%dialysis%center%in%a%more%profitable%area%are%complex.%The%solution%for% proper%cost%allocation%must%incorporate%both%strong%business%and%ethical%considerations% before%a%decision%can%be%made.%This%report%serves%as%a%discussion%of%alternative%allocation% methods%and%the%determination%of%a%suitable%and%mutually%beneficial%cost%structure%before% proceeding%with%the%expansion.% The%original%allocation%process%primarily%focuses%on%square%footage%and%disregards% profitability%or%revenue%generation%for%the%unexpanded%facility.%The%outpatient%center% generates%a%much%larger%revenue%stream.%Both%facilities%are%charged%$15%per%square%foot% even%though%the%outpatient%center%holds%80%%of%the%facilities%square%footage.%The%postM expansion%initial%allocation%of%costs%provides%an%expansion%of%the%outpatient%center%by% 20,000%square%feet,%while%the%new%dialysis%centers%size%remains%constant%at%20,000%square% feet.%The%initial%allocation%for%the%new%dialysis%facility%also%increases%square%footage%cost%by% 5%%while%...
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...……………………………………………………...2 History of the Clean Water Act..……………………………………………………...…………3 The Purpose and Intent of the Clean Water Act……………………….…......………………….5 Summary of the Clean Water Act...........................................................................................…. .5 How the Clean Water Act affects Businesses………………………………………..…………..6 Conclusion…………………………………………………………………...…………………..10 References……………………………………………………………………………………….11 Appendix Case Study …………………………………………………………………………...………..7 Abstract This paper was written with the attempt to educate the reader on the inception and brief history of “clean water act of 1972”. Before this important law companies used our waterways as liquid landfills. This law was one of many that was desperately needed to help make America a better place for generations to come. Antonio Hines Environmental Science November 3, 2014 The Clean Water Act of 1972 History of the Clean Water Act Dead fish floating in our river ways and different wildlife lying on the banks of our streams was common place in the early 60’s. In Ohio, the Cuyahoga River in Cleveland was so polluted that it caught fire – for the tenth time! Time Magazine reported that Lake Erie was dying from all the waste dumped into it. Saint Louis took its drinking water from the muddy Missouri River because it had gotten to the point that no one wanted to eat or drink from the Mississippi River. Therefore, it is safe to say, these areas needed help and fast! American...
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...Does Big Data Bring Big Rewards? 1.) Describe the kinds of “big data” collected by the organizations described in this case. The organizations that were mentioned in this case study are The US State Federal Law Enforcement Agencies, Real Time Crime Center NYC, Vestas, AutoZone, Hertz, and Sears Holding. The kind of data the U.S. State and Federal law enforcement agencies are dealing with are to discover hidden patterns in a criminal activity such as correlations between time, opportunity, and organizations. The real time crime centers uses data warehouses dealing with city crime and criminals. They use a system whose search capabilities allow the NYPD to quickly obtain data from any of data source. Vestas are using big data to allow there company to go green. Vestas use data so that it can accurately places it turbines for optimal wind power generations. Autozone uses big data to help it adjust inventory and product prices for thousands of stores whereas for Hertz a car rental giant it allows data to be gathered from web surveys, e-mails, and even text messages. 2.) List and describe the business intelligence technologies described in this case. The business intelligence technologies that were described in this case are hidden patterns in criminal activity, information on criminals, location based data, types of cars driven by people in an area, data to analyze consumer sentiment, and data to enhance customer retailer relationship. 3.) Why did the companies described...
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...Paul Khandpur,2 Youssef Fayed,3 and Naren Ramakrishnan2 Abstract Developed under the Intelligence Advanced Research Project Activity Open Source Indicators program, Early Model Based Event Recognition using Surrogates (EMBERS) is a large-scale big data analytics system for forecasting significant societal events, such as civil unrest events on the basis of continuous, automated analysis of large volumes of publicly available data. It has been operational since November 2012 and delivers approximately 50 predictions each day for countries of Latin America. EMBERS is built on a streaming, scalable, loosely coupled, shared-nothing architecture using ZeroMQ as its messaging backbone and JSON as its wire data format. It is deployed on Amazon Web Services using an entirely automated deployment process. We describe the architecture of the system, some of the design tradeoffs encountered during development, and specifics of the machine learning models underlying EMBERS. We also present a detailed prospective evaluation of EMBERS in forecasting significant societal events in the past 2 years. Introduction Anticipatory intelligence is considered to be one of the next frontiers of ‘‘big data’’ research, wherein myriad data streams are fused together to generate predictions of critical societal events. One of the promising themes in this space is the idea of harnessing open-source datasets to identify threats and support decision making for national security, law enforcement...
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...Professor Harry E. Stucke BIG GROUP CASE STUDY By Bhuiyan Shariful Kudret Demirkol Alam Mujub Ye Yu LONG ISLAND UNIVERSITY February 27th, 2012 INTRODUCTION The Big Idea Group (BIG) was created by Micheal Collins to help both inventors and corporations meet the innovation challenge. BIG partners with inventors and companies to identify, develop and bring to market innovative ideas. Before BIG Collins founded Kid Galaxy in 1994, a specialty toy company and became a producer of the award-winning Bendos line. Bendos, a line of Gumby-like figures eventually helped Kid Galaxy gross $5 million a year. But Collins, who held just a 4% stake in his company, says he felt there was little growth in store. Collin is exposed to Clayton M. Christensen, a Harvard Business school professor who posited a theory about why companies fail, even with great technology, in his book The Innovator's Dilemma. The professor gave him an endorsement and an undisclosed investment for an idea-hunting company. A year later Collins became a success with Tiny Totes, a set of mini-handbags girls could use to store collectibles. Tiny Totes was designed by an Indianapolis woman who had tried for a number of years to break into the toy business and Collins was able to give her the first break. Almost all of Collins' products are new ideas for toys and consumer products. Collins is now looking to diversify his company Big Idea Group (BIG) which has become successful...
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...Seminar Presentation On Application of encrypting techniques In Database Security By Uweh SKelvin ABSTRACT Security in today’s world is one of the important challenges that people are facing all over the world in every aspect of their lives. Similarly security in electronic world has a great significance. In this seminar work, we discuss the applications of encryption techniques in database security. This is an area of substantial interest in database because we know that, the use of database is becoming very important in today’s enterprise and databases contains information that is major enterprise asset. This research work discuses the application of various encryption techniques in database security, and how encryption is used at different levels to provide the security. 1. INTRODUCTION Information or data is a valuable asset in any organization. Almost all organization, whether social, governmental, educational etc., have now automated their information systems and other operational functions. They have maintained the databases that contain the crucial information. So database security is a serious concern. To go further, we shall first discuss what actually the database security is? Protecting the confidential/sensitive data stored in a repository is actually the database security. It deals with making database secure from any form of illegal access or threat at any level. Database security demands permitting or prohibiting user actions...
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...Mobil Eye Case A) Mobileye, founded by Amnon Shashua and Ziv Aviram, is a company leading the market in technologically advanced software algorithms, system-on-chips, and applications customized to extensively process visual information for the use of advanced driver assistance systems, or ADAS. Mobileye is the market leader for ADAS because of its unmatched customer value proposition, or CVP; focusing on continuously improving safety, avoiding accidents, and saving lives in an increasingly affordable way. This value the customer receives comes from the applications that increase the safety in vehicles such as warnings for lane departure and forward collision, autonomous emergency braking, and many other active safety features. These applications are provided by an affordable, single camera equipped with designed chips and software algorithms giving the customer artificial vision of the surrounding world. Mobileye was the first company to produce such technologically advanced visual processing systems, making it easy for them to market to luxury and lower-end car manufacturers; having car safety as their main source of customer value. Mobileye first targeted their products towards the higher-end, more luxurious car manufacturers because the customers buying these cars are typically less price sensitive and able to afford the additional safety features. As demand continued to grow for their driver assistance systems, Mobileye began targeting lower-end car manufacturers...
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...Week 3 - The Big Data Challenges May 2014 Case Study: The Big Data Challenges Glendoria Early Strayer University CIS 500 – Information Systems for Decision Making Dr. Vince Osisek May 12, 2014 Case Study: The Big Data Challenges Week 3 - The Big Data Challenges Page 2 What if your car could talk? Well Volvo CIO's had to wonder the same thing as well. Volvo, a Swedish multinational manufacturing company, that not only produce cars, but light and heavy weight trucks as well as buses. Volvo Car Corporation has a history of using innovation to produce premium automobiles. The manufacture chose to rely on information technology to gain the innovative edge to help the company grow by integrating the cloud infrastructure into their networks. The Volvo Data Warehousing Program, started in 2006 (Data in the Driver's Seat), it draws insight from this multi-terabyte resource to create clear business advantage by integrating information from four primary sources: a system for managing vehicle and hardware specifications, one for managing on-board software specifications, the system that collects vehicle diagnostic data from service centers worldwide, and the warranty administration system. (Tobey, 2010) Joining all the various pieces of data together, Volvo can be warned about potential mechanical issues that may show up in the early part of a car's lifecycle. Volvo can spot patterns from the data that may indicate a potential flaw in a particular part well before a...
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...From a high storage SAN with a cluster of 30 servers to switching to AWS is indeed a globe-trotting step taken by Razorfish. Customer segmentation based on processing gigantic click stream data sets is at the core of Razorfish business model. As of 2010, Razorfish was collecting 25 TB per day, and with so much advent of social media and e-commerce, this number would have increased multi-fold by now. Building in-house infrastructure to analyze this click stream data will need expensive storage set-up with enough head room to handle seasonal spikes like holiday season, long weekend sales etc. Such business models rely on making key data available to customers on demand, and in order to support such a need will require on-demand infrastructure to collect/store/organize/analyze and share as Vogel points out in his talk. While data collection/storage is one piece of the puzzle, organizing & analyzing this data is where rubber hits the road. While AWS made storage possible through flexible and efficient AWS infrastructure that is both dynamic and cost efficient, platforms like easy map reduce in Hadoop helped Razorfish to organize and analyze the data. Razorfish is a good example of how to use cloud based web services to keep your operational cost in check, and pay as you use. And the best part of having this data on a cloud infrastructure like AWS is that it makes sharing the data easy. Vogel’s example of sensors placed under the ocean sending the data directly to AWS infrastructure...
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