ithin the framework in which

Building a Data-Driven World at Japan Data Forum
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siyam12
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Joined: Mon Dec 09, 2024 4:02 am

ithin the framework in which

Post by siyam12 »

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
Once you have identified your objectives and clarified your needs in terms of requirements, you need to start the data capturing work . That is, the collection of values ​​useful to your business with the related archiving and organization work.

Having defined entry points – so you will not collect data randomly – you can proceed more easily: always remember to use the appropriate tools for a period of time valid for the purposes of the operation. It is useless to proceed for a few weeks if the data manifests itself over a period of six months.

data integration
In the end you end up with a data lake , a set of information that you Paraguay Phone Numbers have to give a shape to, even if in some cases you proceed with the data warehouse: internal and external values ​​to the company are archived with a previous structure. While with the data lake you proceed after archiving ( image source ).

Analyses
This macro-term includes a series of steps that the data analyst must put into practice with all his skills, moving from big data to useful indications for making sensible decisions.

First there is the descriptive phase, the values ​​are read and organized in order to find the first connections: the numbers are contextualized and insights are identified with connections and cause/effect relationships. This is how data storytelling takes shape . From this work comes the decisional phase.

We proceed by analyzing the KPIs and biases that can emerge from the in-depth analysis. Then we deliver the results - commented and explained - to those who will have to make useful decisions to improve, day after day, the promotion and digital marketing activities of a business project.

Image

Always pay attention to reporting
In reality, the last step to complete the data strategy work is the presentation of the data. Creating quality reports is one of the cornerstones to bring this scientific approach outside the circle of professionals and integrate the contribution of entrepreneurs, general managers, CEOs into the decision-making process . In practice, if you want to make the world of numbers appreciable and help everyone make strategic decisions, you need to work with tools like Looker Studio .

This platform, one of the most complete, is able to collect different sources and, with the right contribution, can help you create detailed, dynamic and customizable reports . This translates into more convenient estimates, satisfied customers, marketing strategies that h
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