In the last few years, European enterprises of all sizes have developed a deep awareness of the opportunities of leveraging Big Data Analytics (BDA) within their organizations. Still, many of them now realize that lack of information and skills may lead to disappointments and even costly failures.

Non-IT-savvy companies fear that they could get side-tracked by vendors into collecting data and performing analyses that do not solve their business problems. BDA is often advertised by suppliers as a way to bring into the analytical mix large volumes of types of information that have traditionally been ignored or discarded, complementing or replacing the role of traditional OLAP (online analytical processing) systems.

Again, customers whose core business is not IT may find it difficult to evaluate whether the advantage they can obtain from tapping into Big Data sources is commensurate to BDA costs.

Another major hindering factor to BDA adoption is the so-called “regulatory barrier”: concerns about violating data access, sharing and custody regulations when using BDA, and the high cost of obtaining legal clearance for their specific scenario are discouraging companies, particularly SMEs, from taking over BDA.

Concerning the scarcity of skills, Big Data scientists, architects, and developers experienced with Big Data projects are costly and in high demand internationally. Even outsourcing BDA to a service provider and/or engaging consultants does not eliminate the need of costly in-house skills; the supply of data-related competences in Europe will not be able to satisfy the demand in the short and medium term.

Objective 1

Specification of a fully declarative framework and a model set supporting Big Data analytics.

Objective 2

Development of Big Data Analytics as-a-service approach supporting Big Data adoption.

Objective 3

Development of SLA and assurance approaches to guarantee contractual quality, performance, and security of BDA.

Objective 4

Support of legal and compliance aspects

Objective 5

Design and development of automatic deployment of TOREADOR analytic solutions.

Objective 6

Pilot-based development and validation of the technical soundness, deployment feasibility, and industrial applicability of the TOREADOR infrastructure.

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