Data Strategy: What it is and how to implement it
Having a data strategy – an operational strategy based on numbers – means keeping a firm grip on the helm of your reality. Because it is only through empirical, scientific measurement that we can make decisions that are adequate to the challenge. The scientific method needs irrefutable values.
To proceed in marketing this approach is fundamental . A data strategy is useful in any occasion: for the on-page SEO optimization of a website, to create performing landing pages, to reduce the loading time of an e-commerce. In general, a data driven approach is crucial if you want to have good results online. How can we move? Let's start with the Oman Phone Numbers presentations.
Table of Contents
What is a data strategy, explained
Who is in charge of data strategy?
Why is this approach necessary?
How to make a good data strategy
Goals
Requirements
Capturing
Analyses
Always pay attention to reporting
What is a data strategy, explained
Data strategy is a set of operational activities guided by a shared line (a strategy) that is based on the measurement of the values needed to make tactical decisions . The final objective is the achievement of objectives defined upstream that relate to the target and the context.
With this definition of data strategy we can understand, therefore, the importance of the matter. Thanks to the data – interpreted in a certain way – companies and entrepreneurs can make targeted decisions. And cut around their budget, in a realistic and effective way. But above all concrete.
Who is in charge of data strategy?
At the head of this activity is the data analyst , that is, a data analyst who is responsible for collecting and interpreting values with the help of various tools. Which, in the case of web marketing, refer to well-known names: Google Analytics , Search Console , Tag Manager and more.
The work must be interfaced and cross-referenced with that of other professionals who contribute to the collection and interpretation of data. For example, the role of the SEO expert and the web performer who deals with all aspects related to Conversion Rate Optimization (CRO) is fundamental .
Why is this approach necessary?
Proceeding without a data strategy means moving randomly. This is true in any professional context but even more so in marketing. That is, a sector that is not only analytical but also creative, and that must not leave the field free to total and reckless improvisation.
Art directors, video makers and copywriters – to give some reference figures – must follow the operational guidelines indicated by the analysts who collect, package, clean and interpret the numbers that develop within the data strategy . And that serve to create a continuous Deming cycle to improve, step by step, both the call to action on the landing page and the title tag of the home page.
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How to make a good data strategy
To create a data-driven marketing strategy you need to follow a series of steps. The first point to clarify is related to data governance: you need to be aware that you need to manage a quantity of information that comes from different sources in the best possible way. And they can be structured or not. In short, it is not enough to collect and pigeonhole numbers. How to create an effective data strategy ?
Goals
The first step to creating an adequate data strategy campaign: indicate the objectives to be achieved. Collecting numerical information just for the sake of being able to count on a big data archive is useless. These resources must have a purpose otherwise they become just an expensive vice.
Within the framework in which the strategy based on numerical values is born , it is necessary to define goals in terms of business, adequate to the needs. To then activate a translation process into KPIs. That is, Key Performance indicators, adequate values to measure the actual success of the campaign. Without these steps, it is useless to think about a data strategy, whether advanced or embryonic.
Requirements
Once the objectives have been defined, we can think about the universe of requirements. First of all, the data: can we invest infinite resources to collect any type of information left on the web? Absolutely not , all of this is an economic investment, so we need to think about data with known characteristics.
data europe
Just as this graph from the European Commission suggests , which places the evaluation of values at the center of the roadmap to create an effective data strategy. Which must be useful , verifiable, complete and easy to interpret. All this helps you in the next step.
Capturing
