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Start with a Data Strategy

Whenever you set out to achieve any complex goal, you are going to want a plan or guide to ensure that the outcome is of high quality. This is no different when establishing or expanding an analytics foot print that can drive transformational change and improve business metrics.


The first step is to be able to articulate a clear business strategy. This is usually easier for smaller companies and can get quite complex with large organizations. Of course in bigger organizations, your domain may not be enterprise wide, in which case, the business strategy should be supported by those you are accountable to. This will ensure that all your projects will positively impact the business strategy and your metrics will directly impact the businesses KPIs.


The second major variable takes into account the current state of your data maturity. This should consider elements like the data quality, business applications, data management infrastructure, organizational alignment, and even training and adoption. Will we dive deeper into these themes in future posts.


Now that you know the two main considerations for developing a thoughtful Data Strategy, you will be able to better articulate one that works best for you. You will want to avoid Googling a Data Strategy and hoping it will get you to where you want to be. In fact, you will want to recalibrate your Data Strategy whenever either of the variables materially change. Once you have leadership buy in, start identifying and prioritizing projects that will make your organization more successful based on your approved Data Strategy.


Thanks for reading and please reach out to us with any questions or for help getting your Data Strategy established.

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