The Enterprise Big Data Framework

Most enterprises have now realized that ‘Big Data’ is not just a project or department that can be managed by (a part of) the IT department. In order to obtain long-term value from Big Data, there is more required than hiring smart data scientists and acquiring a Big Data technology stack. Rather, data-driven thinking and data-driven decision making should become part of the organization’s DNA. This is easier said than done. In a sense, transformation towards a Data Driven Enterprise can be regarded as an organizational change program. It requires a different way of thinking, in which all parts of the organization (from strategy to culture) play a vital role. Because of this requirement, the Enterprise Big Data Framework was created.

The Enterprise Big Data Framework is a structured approach that considers six core capabilities that enterprises need to consider to obtain long-lasting value from Big Data. Rooted in the scientific domain, the Enterprise Big Data Framework provides fundamental knowledge and insights in the core components of Big Data. The topics of the framework range from the technical components of setting up a Big Data architecture towards the soft skills required to set up a Big Data center of excellence. By taking a capabilities approach, enterprises can grow their competencies over time, firmly embedding the practice of Big Data into the enterprise.

Overview of the Big Data Framework

The Big Data framework is a structured approach that consists of six core capabilities that organizations need to take into consideration when setting up their Big Data organization:

  1. Big Data Strategy – Data has become a strategic asset for most organizations. The capability to analyze large data sets and discern patterns in the data can provide organizations with a competitive advantage.
  2. Big Data Architecture – In order to work with massive data sets, organizations should have the capabilities to store and process large quantities of data. In order to achieve this, the enterprise should have the underlying IT infrastructure to facilitate Big Data. Enterprises should therefore have a comprehensive Big Data.
  3. Big Data Algorithms – A fundamental capability of working with data is to have a thorough understanding of statistics and algorithms. Big Data professionals need to have a solid background in statistics and algorithms to deduct insights from data. Algorithms are unambiguous, computerized, problem.
  4. Big Data Processes – In order to make Big Data successful in an enterprise organization, it is necessary to consider more than just the skills and technology. Processes can help enterprises to focus their direction. Processes bring structure, measurable steps and can be effectively managed on a day-to-day basis.
  5. Big Data Function – Big Data functions are concerned with the organizational aspects of managing Big Data in enterprises. This element of the Big Data framework addresses how organizations can structure themselves to set up Big Data roles and discusses roles and responsibilities in Big Data organizations. Organizational.
  6. Artificial Intelligence – The last element of the Enterprise Big Data Framework addresses Artificial Intelligence (AI). One of the major areas of interest in the world today, AI provides a whole world of potential. In this part of the framework, we address the relation.

Benefits of the Enterprise Big Data Framework

Frameworks provide structure. The core objective of the Enterprise Big Data Framework is to provide a structure for enterprise organizations that aim to benefit from the potential of Big Data. In order to achieve long-term success, Big Data is more than just the combination of skilled people and technology -it requires structure and capabilities.

The Enterprise Big Data Framework was developed because although the benefits and business cases of Big Data are apparent -many organizations struggle to embed a successful Big Data practice in their organization. The structure provided by the Enterprise Big Data Framework provides an approach for organizations which takes into account all the organizational capabilities of successful Big Data practice.

The main benefits of applying the Enterprise Big Data framework include:

  • Provision of a structure for organizations that want to start with Big Data or aim to develop their Big Data capabilities further.

  • Inclusion of all organizational aspects that should be considered in a Big Data organization.

  • Neutrality. The Enterprise Big Data Framework is vendor-independent, it can be applied to any organization regardless of their choice of technology, specialization or tools.

  • A common reference model that can be used across departmental functions or country boundaries.

  • Identification of core and measurable capabilities in each of its six domains so that the organization can develop over time.

Get Started: Download the White Paper

In this white paper, an overview is provided of the benefits of a framework approach towards Big Data. Subsequently, an introductory overview is provided of the six core capabilities of the Big Data Framework.

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