If You Can’t Measure It, You Can’t Improve It. This quota from Peter Drucker is true more than ever before in the age of digital marketing. Perhaps more important than measuring it though, it understanding what you should be measuring. With so many metrics from impressions, to click through rates, post engagement to say nothing of the plethora of demographic terms thrown around, it can be easy to get lost in the maze of advertising metrics and data. This is not helped by the sheer number of platforms out there and the fact that many of them don’t export their data in a standardised manner making cross-platform comparisons difficult. The most import thing to remember when trying to measure any advertising campaign is the define the campaign goals and how those will be measured before the campaign is designed and executed. This way you can standardise the Key Performance Indicators (KPI’s) and understand how they interact with one another. Its also important that these KPI’...
Data Governance is a set of practices and processes that help ensure the formal management of data assets within an organisation. Data Governance VS Data Management Data Governance is often thought to be the same as data management, however, data management is the actions that an organisation takes into account in order to execute a business’ data management framework. To add to that, data governance acts on the decision-making functions that hold authority over data management. In practical use, a company using a CRM system that holds information about their employees is a form of data management, whereas data governance put in to practice means that the team overseeing this department has outlined how this information in the CRM will be used by employees. Examples of Data Governance Creating a data governance framework: By creating a data governance framework, businesses will be able to determine how they will secure, manage and distribute their data. The framework ...