Most senior executives today recognise the need to drive more value out of their data. The question for systems architects and data engineers is how to deliver what the business requires. The traditional stereotyped view of a Data Warehouse as a repository tacked onto the side of the IT architecture to allow business reporting and analytics is way out of date.

Legislators and governments globally are starting to wake up to the implications of the digital revolution on individuals’ rights. This is exacerbated by the fact that choice is limited, as a small group of companies dominate the consumer space.

You may feel trapped by your legacy Data Warehouse solution. You have proprietary software, on premise servers and inflexible data pipelines. Costs may be high and delivered capability low.

A frequent question that clients ask us when planning a Data Warehouse project is “what skills do we need for our project to be successful?”.

What is the purpose of our recently published e-book the ‘extended Datavault framework’? Simply, it is designed to help ensure your data warehouse and analytics project are successful.

Many organizations struggle to understand the contribution of their business intelligence service. Yes, reports are produced, analyses conducted, decisions are taken – but how can this be reduced to a straightforward statement of value that senior management can appreciate?

Which business cases succeed in today’s hard-nosed business environment? Business cases for Business Intelligence and Data Warehouses have always been hard to quantify.

The Chief Data Officer (CDO) is a new role for many organisations and there is a danger that it will become a revolving door – a victim of political battles.

The Chief Data Officer (CDO) is the leader of a new back office function (alongside HR, Finance, Facilities, IT, Legal, etc.).

Chief Data Officer (CDO) roles are becoming increasingly popular, perhaps driven by a combination of the need for organisations to become more data-driven and regulatory pressures, such as GDPR.

Traditional Business Intelligence projects have developed a reputation for becoming increasingly complex, costly and time-consuming, they overrun or fail, and some requirements can be impossible to realize.

Data Vault 2.0 is increasingly being recognised globally as the leading approach for agile Data Warehouse projects.