While the arrival of enabling technologies has made a wealth of public
and organisational data available for analytic processing, access to the data and to efficient analytic
tools is often difficult. Furthermore, combining such sources of massive data can yield much richer
applications and greater insights to intelligence reporting. Hence, a collaborative platform, which
makes it easy on the participants to share data safely and to gain access to latest technology tools
easily, is required. By positioning the target open-source architecture to support Big Data, ecosystems
and value chains, the ITEA project CAP (Collaborative Analytic Platform), which successfully ran from
November 2013 to October 2016, contributed to the development of new but sustainable business models,
and laid the foundation for a market value proposition of 'Big Data as a Service'.
The 27 partners of CAP, coming from six different countries worldwide, defined standard, extensible data
models and interfaces for the exchange of data between the data owners, platform operators, cloud
infrastructure operators and data scientists. The platform incorporated open Big Data tools and features
that all participants can use and enhance, thus enabling access to data, sharing and processing in
real-time facilitated by a single platform. A key deliverable was the new range of business models that
established metrics for the value of Big Data. These features enabled CAP to regulate the stakeholders'
collaboration and develop a new innovative business environment based on shared data and knowledge in a
safe setting where data owners have the opportunity to valorise their data across other domains: the Big
Data Marketplace.
In addition, Turkcell and Ericsson have been testing the applications of Narrow Band IoT in LTE network
since the beginning of 2017 with contributions from their own engineers and their local business
partners. Smart meters, smart parking loT systems integrated into the mobile payment system (Paycell),
smart manhole examples of warning systems to be used in natural disasters and the recent "Smart
Irrigation Hydrant" solution, which is an agriculture use case, have been developed. For the Smart Water
Meter solution, consumption values from smart water meters will be sent to CAP for real-time data
analysis. Smart water meters measure consumption and basic water quality metrics. Currently a
proof-of-concept (POC) is running. Once the POC is completed, it is expected that nearly one million
smart water meters will be added to the system. There will be many benefits from this implementation
including the reduction of manual meter reading by employees, near real-time detection of water quality
anomalies at the home entrance, daily water consumption prediction, etc.
In 2017, the CEO of Turkcell Technology, Kaan Terzioglu, highlighted the importance of the CAP project in
a Turkish daily newspaper: "One of the best examples of our international collaborations is the
Collaborative Analytical Platform project we have been leading in ITEA."
"One of the best examples of our international collaborations is the
Collaborative Analytical Platform project we have been leading in ITEA."
CEO of Turkcell
Technology,
Kaan Terzioglu
During the CAP project, KocSistem started to build new product lines such as IoT, Mobile Business and Big Data Analytic Platforms. As a success of the CAP project knowledge, KocSistem and Ericsson also collaborate in a new ITEA project PAPUD (Profiling and Analysis Platform Using Deep Learning). Within this new project KocSistem will produce the new BigData Analytic Platform product. With the guidance of the R&D studies carried out in the CAP project together with the PAPUD Project planning studies, KocSistem will be adding a new solution to the cloud services: skills in "Deep Learning" and "Machine Learning".
Furthermore, the CAP project has focused the mail division of La Poste Group on the real value of the
data collected by the mail sorting machines. Several terabytes where analysed to qualify the quality of
the data and then to extract useful conclusions about the processes, with the focus on two aspects.
Firstly, the fraud on the franking marks was examined, highlighting the customers and/or the products
where the legal manual controls may be the most cost-effective (several million euros may be recovered
with the same control workforces). Secondly, a data visualisation of the real process inside a sorting
centre was compared with the theoretical flows of mail, helping to reduce futile handling and reducing
mail transit delays. Finally, La Poste Group decided in 2016 to invest in Probayes, a French SME with
great success in data science, to accelerate the digital transition.
VTT has created a publicly available Wind Power Icing Atlas (WIceAtlas), providing information on
in-cloud icing severities for existing and planned wind farms worldwide.
The core of the WIceAtlas consists of over 4500 meteorological stations worldwide with over 20 years of
observation data and 35 years of MERRA reanalysis data. By analysing extensive historical icing weather
conditions, it is possible to estimate, for example, the resulting longterm iced turbine production
losses thus giving valuable Annual Energy Production (AEP) estimates for financial calculations. In
addition to production losses, WIceAtlas can provide icing information for ice throw risk assessments
and turbine lifetime analysis. The WIceAtlas with low temperature climate layer also helps in the design
of pre-construction resource assessment instrumentation and can be used in preselection of appropriate
turbine model and type.
Thanks to the project's results, the Finnish SME NetMan created services focused on entities needing a
high level of automation and data exploitation. CAP was a catalyst to more data-driven business models
and also to information security service business. Nowadays information security is the most rapidly
growing business area and data analytics is becoming an increasingly important part of business within
various services. The story continues with new service packages focusing on adding value and boosting
productivity through data collection and automated analysis in digitalisation management. NetMan was
acquired by MPY in the summer of 2017 and together they are challenging IT service markets with
tomorrow's service portfolio.
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In Korea, ETRI had developed a concrete CAP platform with multitenant architecture. Based on this
platform, Innodep developed the interactive CCTV monitoring service which analysed CCTV metadata
together with data from external systems (e.g. weather, traffic, accident, etc.) and recommended more
important CCTV videos and situations to focus observer attention on them. Innodep received great
interest in introducing this service to several exhibitions and local district surveillance centres in
Korea and has been implementing the steps for its commercial product. For application in various domains
as well as CCTV, ETRI has been developing the next platform following CAP, whereby data interoperability
and distribution among different platforms are being advanced.
The CAP project has created a bigger picture of real-time Big Data by delivering a powerful easy-to-use
service platform, which engenders new value-added services and new business models. While corporate
companies are short to mid-term targets, end-user services have huge potential in the long term.
