Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is one of the Big Four professional services firms along with PricewaterhouseCoopers , Ernst & Young, and KPMG. Deloitte is the second largest professional services network in the world by revenue and has 182,000 employees in more than 150 countries providing audit, tax, consulting, enterprise risk and financial advisory services. Wikipedia.
Deloitte | Date: 2016-08-18
A method of filtering and scoring a plurality of resources where each resource can be associated with a plurality of attribute values. For each resource at least a subset of the attribute values can be applied to an input layer of a multilevel classifier, such as a neural network. The multilevel classifier can be used to generate intra-level values for nodes in an intermediate layer of the multilevel classifier and output values for node at an output layer of the multilevel classifier. The output values and associated intra-level values can be used to determine a confidence indicator or qualification score for the resource. The confidence indicators or qualification scores for the resources can be compared to filter the resources.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.4 | Award Amount: 13.48M | Year: 2012
Information security threats to organisations have changed completely over the last decade, due to the complexity and dynamic nature of infrastructures and attacks. Successful attacks cost society billions a year, impacting vital services and the economy. Examples include StuxNet, using infected USB sticks to sabotage nuclear plants, and the DigiNotar attack, using fake digital certificates to spy on website traffic. New attacks cleverly exploit multiple organisational vulnerabilities, involving physical security and human behaviour. Defenders need to make rapid decisions regarding which attacks to block, as both infrastructure and attacker knowledge change rapidly.\n\nCurrent risk management methods provide descriptive tools for assessing threats by systematic brainstorming. Attack opportunities will be identified and prevented only if people can conceive them. In todays dynamic attack landscape, this process is too slow and exceeds the limits of human imaginative capability. Emerging security risks demand tool support to predict, prioritise, and prevent complex attacks systematically. The TREsPASS project will make this possible, by building an attack navigator. This navigator makes it possible to say which attack opportunities are possible, which of them are the most urgent, and which countermeasures are most effective. To this end, the project combines knowledge from technical sciences (how vulnerable are protocols and software), social sciences (how likely are people to succumb to social engineering), and state-of-the-art industry processes and tools.\n\nBy integrating European expertise on socio-technical security into a widely applicable and standardised framework, TREsPASS will reduce security incidents in Europe, and allow organisations and their customers to make informed decisions about security investments. This increased resilience of European businesses both large and small is vital to safeguarding the social and economic prospects of Europe.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: EE-19-2015 | Award Amount: 1.93M | Year: 2016
The technical and economic viability of sustainable energy projects is of great interest to public institutions, businesses and individuals due to the associated energy savings and the additional economic and environmental benefits. The EU has articulated numerous mechanisms to encourage the mobilization of investment in terms of sustainable energy, and in Spain there are currently several of them applied to finance such projects. However, there is a set of barriers that hinders a greater development of them, standing out the lacks of: - trust among investors in financial viability; - public and private capabilities in project structuring; and - emblematic successful cases that can be a reference model. ENERINVEST addresses those issues by creating a consulting platform which will provide financial, technical and legal solutions to sustainable energy, facilitating the dialogue among the different stakeholders involved. ENERINVEST aims to become the reference Spanish platform in the field of sustainable energy projects financing, which covers the existing gap between the financial sector and the sustainable energy sector, hence, promoting a higher and more efficient investment in sustainable energy projects. This work is translated in: - gathering and organizing all current information, regulation and existing financial models in Spain; - identifying and promoting successful cases of innovative financial models; - creating an e-platform with an assessment tool for preliminary market assessments; - establishing working groups with stakeholders to join forces for the promotion of financial mechanisms for the execution of sustainable energy projects; - developing communication activities of the platform to foster its visibility and disseminating the results The main interested parties in ENERINVESTs activities and results are the following target groups: projects promoters; financial entities, investors and policy makers and other stakeholders in energy and financing.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EE-12-2014 | Award Amount: 1.01M | Year: 2015
Improving energy efficiency can deliver a range of benefits to the economy and society. However, energy efficiency programmes are often evaluated only on the basis of the energy savings they deliver, without considering the many other socio-economic and environmental intangible benefits delivered. As a result, the full value of energy efficiency improvements in both national and global economies may be significantly underestimated. The main aim of IN-BEE is to address the theme of energy efficiency and to describe and provide evidence for the many intangible benefits of improving energy efficiency through a multi-disciplinary approach, combining methods, datasets, and techniques from cutting edge research in law and economics, humanities and consumer behavior, regulation and environmental sciences, as well as engineering. The overall outcome of IN-BEE is to consolidate a set of policy recommendations for the EU and public/private institutions in charge of promoting energy efficiency, competitiveness and environmental and social sustainability. IN-BEE will impact on both consumers (residential and companies) and policy makers, by: Developing a set of indicators to measure intangible benefits of energy efficiency Developing Key Performance Indicators to assess the impact of energy efficiency strategies Studying relevant cases and identifying best practices Bridging policy makers and researchers through a web platform Involving a vast audience of stakeholders IN-BEE combines a strong scientific base with a concrete and focused approach (based on real-life case studies), aiming to involve primarily regional and local stakeholders and to support them in assessing results of previous plans and initiatives on energy efficiency and, above all, in designing new effective strategies.
De Vos C.,Deloitte
European journal of preventive cardiology | Year: 2013
International research indicates that attendance of patients to a proposed cardiac rehabilitation (CR) programme varies between 21% and 75%. Addressing the reasons why cardiac patients are not participating will improve accessibility to CR. The objective of this study was to investigate patient compliance with cardiac rehabilitation and the reasons of refusing or abandoning the programme. Twenty hospital centres were recruited to participate. Each centre was asked to recruit patients from three patient groups, namely: percutaneous coronary intervention patients, patients that underwent major cardiac surgery, and patients being admitted because of an acute myocardial infarction and not belonging to the other two groups. Patients were asked to fill out a questionnaire during a follow-up outpatient consultation after the cardiac intervention. In total, 226 patients participated in the survey. Most patients were proposed (86%) and accepted (81% out of proposed) to attend a CR programme. Of those who accepted, 77% completed the programme. The main reasons that led to patients' refusal to participate in a CR programme were distance to the CR centre, patients' belief they could handle their own problems, and lack of time. The main three reasons for not completing an initiated CR programme were other physical problems, patients' belief they could handle their own problems, and the cost of rehabilitation. Our findings demonstrate the importance of raising patients' awareness of the benefits of CR. Addressing potential barriers to attend a CR programme should be investigated with patients individually in order to ensure compliance.
Deloitte | Date: 2016-05-02
Methods and apparatuses for operating a database system are described. The method comprises, for example, analyzing a plurality of database queries, generating a data structure object within the database of the database system , wherein the data structure object comprises at least one data set indicated by the plurality of database queries and dynamically modifying the data structure object based on hardware loads.
Deloitte | Date: 2015-03-26
A mobile computing device is adapted to transmit to a scoring server URLs of websites browsed using the device. The scoring server can compare these URLs against a merchant URL obtained within a preselected time period from transaction data resulting from a transaction involving a payment product of the device user. A score can be calculated based on the similarity between each URL obtained from the device and the URL from the transaction data. The score represents the likelihood that a website browsed using the device and, as a result, the transaction, is fraudulent. The browsed URLs can also be scored against a database of known fraudulent websites. A notification concerning the legitimacy of the transaction based on the score can be generated and sent to the mobile device in real-time. On receiving the notification, the device can be used to either accept or decline the transaction in real-time.
Deloitte | Date: 2014-03-17
Methods and systems for determining the importance of each of the variables, or combinations of variables, that contribute to the overall score generated by a predictive statistical model are presented. In a specialized case, for each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. In a more general case, for each variable in the model, an importance is calculated based on setting that variable to have the average value for the data set, and then calculating the change in score. The totality of variables (or combinations thereof) is then ranked by the score, or a magnitude of it, such as |score|.
Deloitte | Date: 2014-01-30
A quantitative system and method that leverages data sources external to an insurance company to generate a statistical model that may be used to predict insurance coverage profitability. The system and method can predict profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.
Deloitte | Date: 2016-11-09
A method and apparatus for operating a database system (1) is described, the method comprising analyzing (14) a plurality of database queries (3a, 3b, 3c), generating (17) a data structure object (6) within the database of the database system (1), wherein the data structure object (6) comprises at least one data set indicated by the plurality of database queries (3a, 3b, 3c) and dynamically modifying (23) the data structure object (6) based on hardware loads.