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Big Data and Etom (Etom) BIG 318062 iProject Acronym: BIG Project Title: Big Data Public Private Forum (BIG) Project Number: 318062 Instrument: CSA Thematic Priority: ICT-2011.4.4 D2.3.2 Final Version of Sector’s Requisites Work Package: WP2 Strategy & Operations Due Date: 30/04/2014 Submission Date: 31/07/2014 Start Date of Project: 01/09/2012 Duration of Project: 26 Months Organisation Responsible of Deliverable: Siemens Version: 0.95 Status: Final Author name(s): Sonja Zillner (Chapter Health) Siemens AG Sabrina Neururer (Chapter Health) UIBK Ricard Munné (Chapter Public) ATOS Elsa Prieto (ATOS) (Chapter ATOS Finance) Martin Strohbach (Chapter Public) AGT Tim van Kasteren (Chapter Public) AGT Helen Lippell (Chapter Telco & PA Media) Felicia Lobillo Vilela (Chapter Telco ATOS & Media) Ralf Jung (Chapter Retail) DFKI Denise Paradowski (Chapter Retail) DFKI Tilman Becker (Chapter DFKI Manufacturing) Sebnem Rusitschka (Chapters Energy, Transport) Siemens AG Reviewer(s): Walter Palmetshofer (Chapter OKFN Health) John Domingue (Chapter Public) STI Sebnem Rusitschka (Chapter SIEMENS Finance) Ed Curry (Chapter Telco & Media) NUIG/DERI © BIG consortium Page 1 of 205 BIG 318062 Amar Djalil Mezaour (Chapters EXALEAD Retail, Manufacturing, Energy &Transport) Tilman Becker (Final review of DFKI document) Nature: R – Report P – Prototype D – Demonstrator O – Other Dissemination level: PU - Public CO - Confidential, only for members of the consortium (including the Commission) RE - Restricted to a group specified by the consortium (including the Commission Services) Project co-funded by the European Commission within the Seventh Framework Programme (2007-2013) © BIG consortium Page 2 of 205 BIG 318062 Revision history Version Date Modified by Comments 0.1 24/03/2014 Sonja Zillner TOC provided, (Siemens AG) First draft of Section Scope and Methodology 0.6 23/05/2014 All authors and All SF Chapters finished and reviewers reviewed individually 0.8 23/05/2014 Sebnem Rusitschka Edited into one deliverable (Siemens AG) 0.9 02/06/2014 Ricard Munne caldes Final Review comments of (Atos) the edited document 0.95 23/06/2014 Sebnem Rusitschka Prefinal version incl. (Siemens AG) Revision according to general comments 1.0 29/07/2014 Elsa Prieto (ATOS) Addition of reviewed Finance sector chapter 1.1 31/07/2014 Ricard Munné Final review comments of (ATOS) the edited document Copyright © 2014, BIG Consortium The BIG Consortium (http://www.big-project.eu/) grants third parties the right to use and distribute all or parts of this document, provided that the BIG project and the document are properly referenced. THIS DOCUMENT IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DOCUMENT, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. © BIG consortium Page 3 of 205 BIG 318062 Executive Summary The snapshot of the current key-findings of the various sectors can preliminarily be summarized as follows: Several developments in the healthcare sector, such as escalating healthcare cost, increased need for healthcare coverage and shifts in provider reimbursement trends, trigger the demand for Big Data technology. In addition, the availability and access of health data is continuously improving, the required Big Data technology, such as advanced data integration and analytics technologies, are in place, and first-mover best-practice applications demonstrate the potential of Big Data technology in healthcare. In a nutshell, the big-data revolution in the healthcare domain is in a very early stage with the most potential for value creation and business development unclaimed as well as unexplored. Current roadblocks are the established system incentives of the healthcare system which hinder collaboration and, thus, data sharing and exchange. The trend towards value-based healthcare delivery will foster the collaboration of stakeholder to enhance the value of the patient’s treatment, and thus will significantly foster the need for Big Data applications. The public sector is facing some important challenges today, the lack of productivity compared to other sectors, current budgetary constraints, and other structural problems due to the aging population that will lead an increasing demand for medical and social services, and a foreseen lack of a young workforce in the future. The public sector is increasingly aware of the potential value to be gained from Big Data, improvements in effectiveness and efficiency besides new analytical tools. Governments generate and collect vast quantities of data through their everyday activities, such as managing pensions and allowance payments, tax collection, etc. The main requirements, mostly non-technical, from the public sector are: (i) Interoperability: One of the obstacles to exploit data assets. It is boosted by the fragmentation of data ownership that leads to the data silo problem. (ii) Legislative support and political willingness: The process of creating new legislation is often too slow to keep up with fast-moving technologies and business opportunities. (iii) Privacy and security issues: The aggregation of data across administrative boundaries in a non-request-based manner is a real challenge. (iv) Big Data skills: Besides technical people, there is a lack of knowledge about Big Data potential in business oriented people. The finance and insurance sector is the clearest example of data-driven industry. Big Data represents a unique opportunity for most banking and financial services organizations to leverage their customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. However, similarly to other emerging technologies, Big Data inevitably creates new challenges and data disruption for an industry already faced with governance, security, and regulatory requirements, as well as demands from the increasingly privacy-aware customer base. At this moment not all finance companies are prepared for embracing Big Data, legacy infrastructure and the organizational factors being the most important barriers for its wide adoption. In any case, the deployment of Big Data solutions must be aligned with business objectives beyond a mere adoption of technology. The telecom sector seems to be convinced of the potential of Big Data Technologies. The combination of benefits within marketing and offer management, customer relationship, service deployment and operations can be summarised as the achievement of the operational excellence for telco players. There are nevertheless challenges that still need to be addressed before Big Data is generally adopted. Big Data can only work out if a business puts a well-defined data strategy in place before it starts collecting and processing information. Obviously, investment in technology © BIG consortium Page 4 of 205 BIG 318062 requires a strategy to use it according to commercial expectations; otherwise, it is better to keep current systems and procedures. Operators are now beginning to take the time to decide what this strategy should take them. There are a number of emerging Big Data telecom-specific Big Data commercial platforms available in the market, which operators have begun to try. However, by now, most of them provide dashboards, reports to assist decision making processes and can be integrated with Business Support Systems (BSS). Automatic actuation on the network as a result of the analysis is yet to come. Besides these platforms, Data as a Service is a trend some operators are following, which consists on providing companies and public sector organisations with analytical insights that enable these third parties to become more effective. Another very important factor within the sector is related to policy. The Connected Continent framework, aimed at benefiting customers and fostering the creation of the required infrastructure for Europe to become a connected community, at first sight, will most probably result in more strict regulations for telco players. A clear and stable framework is very important to foster investment in technology, including Big Data solutions. The media and entertainment industries have frequently been at the forefront of adopting new technologies. The key business problems that are driving media companies to look at Big Data capabilities are the need to reduce costs of operating in an increasingly competitive landscape, and at the same time, the need to increase revenue from delivering content. It is no longer sufficient to publish a newspaper or broadcast a television programme – contemporary operators must drive value from their assets at every stage of the data lifecycle. Media players are also more connected with their customers and competitors than ever before – thanks to the impact of disintermediation, content can be generated, shared, curated and republished by literally anyone. This means that the ability of Big Data technology to ingest and process may different data sources, and in real-time,
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