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Big Data offers a new technology for gathering, managing and processing large quantities of data in different formats.
HANDLING UNSTRUCTURED DATA: Big Data does not require the in-depth data schema design needed for traditional databases: it uses NoSQL, a mechanism for working with structured and unstructured data together.
EFFICIENT DATA MANAGEMENT: Big-Data technology’s second feature is its ability to handle vast data volumes (in Petabytes), generally at a fraction of the TCO of traditional systems.INTEGRATED TEAM WITH SPECIFIC PROFESSIONAL EXPERTISE: Implementing a Big-Data model requires a team with new skills, including Data Scientists, data-analysis specialists with vertical competencies.NEW WAYS TO RUN PROJECTS: The initial stages of a project no longer involve selecting information sources to base the design on (as in the traditional data-handling approach) – Big Data turns this concept on its head by leveraging statistical techniques.
How can a strong data strategy help companies to emerge from the crisis even stronger? Read our sponsored article on Harvard Business Review and discover the benefits of a cross-sector view looking beyond your own data for a deeper understanding of your customers and for the creation of sustainable business models.
Storm Reply and Data Reply supported Monte Titoli to define and develop the adoption strategy of Cloud architectures, governance of resources and Machine Learning models.
The goal of this research is to share some insights into how marketers are tackling the different challenges coming from Coronavirus and the strategies they are using to thrive.
The new BI platform, developed by
Technology Reply for Versace, provides access to company information in a timely, independent, flexible and powerful way.
In a global enterprise like
BMW, translating text is an often necessary, but time consuming and tedious task. Cutting down translation times aids the business in working faster and more efficiently.
Reply achieved this for their client providing a low-cost shared service based on AWS for the entire enterprise using
BMW’s state-of-the-art neural machine translation models with specific adaption to the automotive domain.
In times of disruptive competition and shortening product life cycles, data is the core of any competitive business strategy. Data Reply and Sprint Reply have developed a profound approach for companies to gain control over their own processes, systems and data to establish a data strategy with a focus on economic benefit.
Working as one team with Microsoft and its partner
Fire has used
Microsoft Azure Synapse Analytics to unify its data, creating a single source of information at the centre of its operations. It is a solution that stands to benefit both its internal teams and its customers.
This report is based on China Beats, a solution for data-driven insights into the Chinese market, as well as analysis of Google search and social media data for several European countries. It highlights the current impact of COVID-19 and provides data-driven information about its effects on consumer and business behavior.
Data Reply enabled Data Analysis and Machine Learning on AWS Cloud for Nexi, the largest Italian PayTech Company, bringing quantity and quality of data and leveraging Artificial intelligence-based technologies, resulting in major impacts in customer’s capabilities in areas like Fraud, Risk Management, Marketing and Operations, in a safe and compliant way.
Valorem Databricks User Group is a community of data enthusiasts who come together once a month to share, learn and grow our Databricks and data optimization skills. Each meeting Databricks Champion leaders and attendees share best practices, practical takeaways and real-world success stories.
Data Reply has developed a framework based on Deep Learning techniques, Data Mining and Natural Language Processing capable of classifying input data, such as the photos taken by appraisers and the repair data recorded by car repair shops.
Reply conducted a study that covers the feedback of experienced users of Robotic Process Automation (RPA) as well as RPA beginners. RPA is still in an early stage of the adaption and development process. But it is expected to be a door opener for several other digital game-changing technologies. Learn more about the insights we gained about RPA.
Target Reply and
Santer Reply take part in the
SAS Forum Milan 2017, organised by SAS. The Forum shows how the power of Analytics' can be applied across many areas: from Customer Intelligence to Risk Management, from Fraud Management to Business Transformation.
Machine Learning is quickly becoming a reliable and scalable set of technologies that can be applied to many business sectors, providing the ability to automate processes and to make applications more intelligent. Reply supports companies to leverage the potential of Machine Learning and Artificial intelligence to deploy industry and business specific solutions such as: Data Robotics, chatbots or predictive engines.
Reply takes part in the Digital Finance World Forum in Frankfurt on 1- 2 March 2017, a two days dedicated to the hottest information about Blockchain, bitcoins, Big Data and the Internet of Value.
Blue Reply is participating in this year’s BARC BI & Big Data Forum, which is part of CeBIT 2017 in Hanover, that takes place from 20-24 March 2017.
Riverland Reply is partner and exhibitor at this year's Oracle Data Warehouse / Business Analytics Conference. The event, which is being held together with the DOAG, will take place on March 14-15 , 2017 at the Swissôtel Neuss.
Data Reply takes part at the
5. Big Data Summit, taking place on
16 February 2017 in
Hanau. Possible chances and real business benefits of Big Data technologies - all around the motto
„Connecting the Dots - Data, Algorithms, Technology, Mindset“ - will be examined under the aspects of management, as well as best practices will be presented.
Click Reply and Microsoft invite you to an exclusive workshop entitled
Ground-breaking technologies for your data strategy, which will be held on
16 January 2017 in Cologne and on
19 January 2017 in Munich.
Data Reply takes part in
Cloudera Sessions – Milan, the Italian event focused on Big Data both from a technological and business point of view.
Data Reply, the Reply Group Company specialising in applying Advanced Analytics tools and techniques, takes part in Open Data Science Conference on 8-9 October at Hotel Novotel London West.
Target Reply, the Reply Group company specialising in the creation of
Data Warehousing, Big Data Analytics and Business Intelligence solutions, takes part in
Informatica World Tour Italy 2016. The event is focused on Big Data Management, Cloud Data Management, Data Security and Total Customer Relationship innovations.
Real-time data refers to data that is presented as it is acquired. The technical challenge is to detect and interpret complex signals from inside and outside the business, and to respond in an appropriate timescale. The Reply approach to data and intelligence is based on the concept of TotalData™, which exploits the reach, richness, quality assurance and agility of all aspects of data.
Machine Learning is fast becoming a reliable and scalable set of technologies that can be applied to many business sectors, providing the ability to automate processes and to make applications more intelligent. Among the various technologies that are part of the Machine Learning world, Deep Learning is gaining popularity, extending its scope of application to artificial intelligence. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. Machine Learning techniques apply when knowledge is not enough to code, there is the need to scale for the huge amount of data, program has to adapt its behavior or solution changes in time.
Data – the lifeblood of the digital business – allows you to understand what is going on, both inside and outside the enterprise. At Reply, we don’t just talk about Big Data, we talk about TotalData™.
Reply is represented at the
DSAG Annual Congress 2016, taking place on
20-22 September in
Nuremberg, Convention Center. Following the motto "Business Transformation out of the plug socket", the biggest meeting of German SAP users will focus on the challenges of transformation of business processes and even entire market models.
Automotive IT International covers the Reply Xchange in Munich, highlighting Reply's competence in the area of Industry 4.0 and the cooperation with The Data Incubator to offer data scientist training programs.
Every marketing decision is both an opportunity and a risk on which a product’s success or failure can hinge. Integrated marketing management, underpinned by Big Data, is the approach that can increase ROI through a multichannel analysis and a more effective way to measure campaign return.
Reply has signed an exclusive agreement with The Data Incubator, a programme aimed at the training of "Data Scientists", who in the coming years will become a vital fulcrum for companies, with the task of leveraging the enormous existing data repositories through new Big Data technologies, and the use of advanced Machine Learning models.
As an exhibitor
Data Reply takes part in the
Cloudera Session on Thursday,
June 9, 2016 in the Jumeirah Hotel in Frankfurt/Main.
Riverland Reply participates in the DOAG BI 2016 taking place in Bonn, 8th-9th June 2016.
Target Reply and
Santer Reply take part in the
SAS Forum Milan 2016, the forum organised by SAS in order to present the Analytics' power in many areas of application: from Customer Intelligence to Risk Management, from Fraud Management to Business Transformation.
Target Reply, the Reply Group company specialising in the implementation of Business Intelligence and Data Warehousing, takes part in "MicroStrategy Symposium Series", organised by Microstrategy. The event is focused on Big Data Analytics, Data Visualization, Dashboard design and development of Mobile applications.
With the recent growth of Big Data, it is vital for retailers to consider their ‘total data’ and understand the touchpoints, not only the collection of data but also how and where intelligence needs to be delivered in order to solve critical business problems. Daren Ward, Partner at Retail Reply, discusses how recognising the feedback loops and creating a capability-based plan are the keys to maximising the benefits of Big Data.
Big Data presents a huge opportunity for automotive companies to meet the demands of their more challenging and educated customers. Major firms have recognised the importance of data along the entire value chain.
The global environment and digital transformation are putting established industries under increasing pressure. Maintaining competitiveness requires an acceleration of processes at all levels as well as a general increase in innovative potential. Of fundamental importance, however, is the securing of effective processes and applications for managing and planning in an environment marked by exponentially increasing volumes of data and information.
Blue Reply and Data Reply attend the 4th Annual Meeting Business Intelligence Agenda, taking place in Zurich from 7th - 8th March 2016.
Target Reply attends the
Big Data International Conference 2015 in
4th December 2015. Thanks to international technology experts, the event gives an update on Big Data & Analytics and it is an opportunity to learn the latest developments on technology.
Data Reply is sponsoring Spark Summit Europe 2015, from October 27th to 29th at Beurs Van Berlage in Amsterdam, an event dedicated to data science and engineering.
Data Reply, Google and Cloudera host an event on 29th October 2015 at the Design Offices in Frankfurt dealing with Big Data beyond the Hype: answers to current Big Data questions.
Target Reply attends the event "Cloudera Sessions: gives an input to your data" organised by Cloudera, in order to speak about the new technologies developed and the experiences collected in the Big Data world with the objective of exploring the different steps of data. The event is held in
13th October 2015 at Barceló Hotel.
The Internet of Things (IoT) represents a paradigm shift in the use of the Internet. What it refers to is the networking of "things" of all kinds – not only electronic devices, but everything that influences our lives and about which information can be gathered with the help of sensors. This enables us to be able to answer questions about the state of almost any "thing" anywhere in the world at any time. This added value in information can represent crucial support for business processes especially in service management.
OTTO is redefining the idea of web analytics with the introduction of a high-performance, Microsoft-based BI solution. Cluster Reply is supporting the project by the OTTO divisions in the form of Europe’s greatest cube for the analysis of online purchasing behaviour and the optimisation of the range and campaigns. For the very first time, up-to-the-minute information can react to the high-volume online business.
Data Reply, Google and Cloudera are hosting an event on
10 July 2015 at the Google Office in
Munich dealing with:
Big Data beyond the Hype: Answers to current Big Data questions.
Sun Branding Solutions are also working with Solidsoft Reply to deliver state of the art products to their customers including enabling self-service Business Intelligence with Microsoft Power BI and predictive analytics with Azure Machine Learning.
Target Reply and Cloudera, in collaboration with Informatica, SAS and Dell | Intel, are organising Big Data for The Enterprise 2015 - The Changing Landscape of Data.
Blue Reply attends the #dati(big)@IBM event as an IBM Premier Partner, on 17 March 2015 at the IBM Client Center. The company will have its own booth in the exhibition area and will hold a speech in the plenary session, presenting its Big Data and Cognitive technological solutions.
Amongst the many emerging trends in the marketplace today, Big Data is on the lips of as many Senior IT Managers as anything else. It’s a term that has been used and abused by many vendors, yet at its core is the promise of something truly game-changing in many industries.
With the explosion of data and increasing availability of solutions to process that data (think Big Data) there is opportunity to get different insights previously not available. Data Visualisation is one of the suite of elements to an end-to-end solution that can be used to realise the benefit.
It is time for insurers to get back their own customers data, capturing the driving data streaming from vehicles, to develop proprietary insights and to apply discount rates or more targeted and differentiated fees.
There is a case to argue that if companies managed their finances as badly as they manage their data, they would probably be out of business by now. Data used to be confined within firewalls and systems but in the digital age, it is ’happening’ everywhere.In this world of ’Big Data’, having the right data available at the right time is crucial; and it is an imperative that has moved far beyond the remit of IT alone.
Amid constantly growing data volumes and increasing project complexity, in order to be useful as management tools, Big-Data solutions must be implemented on scalable, efficient Cloud architectures based on an efficient, stable cost model.
Utilities have traditionally been amongst the lowest data intensity companies, but the advent of Smart Grid has increased the level of data collection dramatically. The challenge now is how to take advantage of that data to create value for the business.
Daren Ward, Partner at Glue Reply, speaks about stock visibility and Big Data.
Especially in banking, BI solutions are important management tools that enable decision making and the preparation of marketing campaigns based on facts. DAB Bank chose Riverland Reply for upgrading Siebel Customer Relationship Management (Siebel CRM) 184.108.40.206 with Computer Telephony Integration (CTI) as well as to integrate Oracle Business Intelligence 11g (OBI).
Volkswagen fleet management business has been integrated into complex processes and strengthened with Oracle Siebel CRM, Oracle BI and BI Publisher International.