Businesses today try to stay competitive by transforming the way they used to make business. This transformation changes the enterprises completely including the working culture. If you would like to learn more about the transformation, don’t forget to take a look at our adapting digital transformation article.

Recent studies show that only a few businesses complete their transformation as they need to stay competitive. One of the reasons why many of them fail is because they don’t pay attention to the first step properly. The first step is the data journey and it is very crucial to complete it appropriately.

The advanced countries like Singapore take digital transformation seriously and launched its national artificial intelligence strategy and allocated a 500 million Singaporean Dollars budget for this strategy which will be a huge boost for their innovation and enterprise 2020 plan.

Without utilizing the data that enterprises possess, there can’t be a transformation and eventually, this will hurt companies. In today’s world, every business is a data itself so this shows how vital data is. Let us explain to you how to complete your data journey step by step.


Data plays a major role in decreasing business costs and increasing revenue. The following is the data journey steps that can give you some hints to start your digital transformation.

Photo by Chris Liverani on Unsplash
  1. Generating Data
    The first step of the data journey is to generate data. Nowadays, every business operation is data itself. For example, payroll, partnership, logistics, conference,webinar…etc. can be used as data. With today’s technology, generating data is not an issue at all.
  2. Storing Data
    While businesses generate data through their business operation, the next step is how to store this data safely. Keeping customer data in Microsoft Excel, Google Sheet or MySQL is a sample of storing data processes. Of course, this is just a simple data storing method. Nowadays, big enterprises use different cloud applications such as Google Cloud, AWS, Azure.
  3. ETL Process (Extract, Transform and Load)
    On the ETL stage, it is now time to extract the raw data that businesses generated and stored. After extraction, it needs to be transformed into a format that can be integrated with analytics software so that the data’s power can be revealed by using the software.
  4. Aggregating Data
    Once the necessary data is extracted and transformed into a format that lets easy integration, the next step is to gather all ETL(extract, transform and load) processed data into a data lake or warehouse such as BigQuery.Google’s BigQuery which is a serverless data warehouse can be a great option since it lets you run huge datasets and perform tasks. BigQuery integrates with other Google platforms so it is easy to keep and transfer the data.
  5. Data Modeling
    Based on our objective, we first adopt one of the data modelings such as logical, physical, or conceptual data modeling. At this stage, data engineers pull the data from a warehouse or lake and create meaningful tables and dashboards. Data engineers also create relationships between data sources and connect tables.
  6. Data Visualization
    At this final stage, engineers, BI analysts use the dashboard and widgets to visualize the data by applying different AI methods such as Machine Learning, Natural Language Processing, or any other AI methods and reveal the power of the data that helps you to make data-driven decisions.



CloudMile’s Data Lab Solution provides a complete journey for businesses to go through every step from data storing up to data visualization. Simply put, a Data Lab Solution that consolidates, processes, and analyses data to modernize your organization’s data infrastructure. According to McKinsey’s survey result, only 18% of companies believe that they have the capability to gather and use the data efficiently to make decision-driven decisions.

The Data Lab Solution is designed to maximize data through building on Machine Learning algorithms and integrating with other application platforms through API Gateways. CloudMile’s professional data team ensures a seamless integration. Contact CloudMile to find out how to make the most of your data that you are generating on a daily basis.

Feature Photo by Matt Howard on Unsplash

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