Modern data warehousing

“Data more than ever, has become the strategic asset driving business transformation to uncover new insights to differentiate and compete. Traditionally, this asset has been collected and stored in an enterprise data warehouse where it is aimed to serve as the single version of the truth” says Johan Du Preez, Data & Analytics Architect at Ovations.

The data and analytics world is rapidly evolving, and businesses more than ever require answers at the speed of business. This fuels enterprises to seriously look at new modern approaches to answer these critical business questions and to gain differentiating insights across more than just the traditional line of business systems (LOB), CRM and ERP sources.

The traditional data warehouse has serious challenges. It is not just agile enough to answer constant evolving business questions and does not have the ability to scale sufficiently in order to produce relevant, holistic and differentiating insights.

Fail fast and be bold…

This is crucial to compete effectively in the current business environment. The traditional data warehouse cannot be fast and bold enough for it is too rigid.

An approach to support and encourage proofs of concept and fast iterations is now required with new agility and freedom to try out new ideas and innovate with less risk and cost.

The traditional data warehouse knows structured data well but, in the world, we live in, semi-structured and unstructured ‘Big Data’ is exactly where the differentiation lies and, it breaks the traditional enterprise data warehouse.

Big data architectures have matured in line with the massive rise of social media and the internet of things (IoT). These big data architectures and technologies was built for petabyte scale, consider Twitter and Facebook.

Data in enterprises will only grow should they embrace modern data warehouse architectures and gain the benefit aligned with the astronomical growth in data at a global scale.

In this whitepaper, we look at the ways in which the traditional data warehouse is breaking, we address the evolution to the modern data warehouse as well as Big data architecture for enterprise data and lastly, how data monetisation is now possible through agility.

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Modern Data Warehousing
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