Align your Data Strategy

Top 5 ways to align your data strategy and implement a modern analytics approach for faster growth

Did you know?

As seen in a cross-industries study, even more than half of the company’s data is not actively used in making decisions, and less than 1% of its unstructured data is used at all. 70% of employees have access to the data which they shouldn’t have. In the 21st century, now more than ever, the capacity to manage tons of data that a company has is one of the most essential tasks. Even with up-to-date database management systems, companies fall behind in terms of utilizing their data. In the modern world data breaches and data-stealing are modem ways of crimes, it is very essential to use data wisely, and companies’ data management and usage aren’t doing great in terms of it.

What is Data Strategy?

Data strategy refers to the tools, processes, and rules that outline a way to manage, analyze, and influence business information.

Why is data strategy important?

  1. Helps in unlocking the power of data

    Many companies know the sheer importance of data in today’s world. They see data as one of their valuable resources. But somewhere they struggle to understand which data they should collect and how to effectively save and analyze it. Once they collect the data, they face the question of converting it to a usable form and making insights from it. A data strategy gives employees the path ahead about how to do this work.

  2. Data strategy improves Database management across the company

    When an issue comes up, the obvious initial reaction of industries is to find a specific solution to the problem. This might work temporarily but it isn’t efficient in data-related issues. Creating company-wide Database management improves data strategy so that various departments work in alignment.

  3. Data strategy helps you use resources more efficiently

    If you don’t have a data strategy, various departments solve issues on their own. This uses more manpower too and sometimes they may put data in a format that isn’t feasible to other departments. Having a standard data format helps in many ways. Having a data strategy enables us to use the data more efficiently.

What are the principles to make a robust and efficient Data Strategy?

  1. Integrating data

    You need to integrate your organization’s data into one so that we can use it more efficiently.

  2. Streamlining data

    A Data strategy will assist you to establish consistent processes for grouping and sharing data. You can collect data more efficiently if you have predefined procedures.

  3. Setting goals for data collection

    Setting goals do help you monitor your progress and create a vision for your activities.

  4. Making data more accessible

    Your data strategy is important in having your data more easily available to everyone.

    Now, we all know what data strategy is and we must take a look at

Top 6 ways to align your data strategy:

  1. Get approval for your plans

    The first step in building a data strategy is proposing and getting approval from executives. To get it you’ll need to show how this data strategy will benefit the company. You’ll also need employees who will help you to get data.

  2. Build a team and assign them roles

    Once you get the approval, you can create your data management team. Once you’ve assembled your team, assign roles to every one of them. Having well-defined roles helps to ensure that tasks are done more efficiently and responsibly.

  3. Identify the type of data

    The next step is to choose what type of data you’ll collect, and how you will get it. Your company’s objectives will help you to know what kind of data to collect.

  4. Set goals for the collection of data

    You need to select goals once you’ve got the type of data you need. For example, if you’re a publisher and you wish to tailor your articles to the topics your audience is most inquisitive about, you’ll have to be compelled to gather information on their interests and also the styles of posts they browse. You may get that info from being perceptive about which articles different teams of readers click on most on your website. You can also check their social media profiles to know their preferences.

  5. Create a Roadmap

    Once you’ve done everything above, you’ll need a plan which gets you towards your goal. These plans will act as a roadmap for your data strategy. The plans should also be relatively flexible so you can always tweak them if you find out something isn’t going the way you expected it to be.

  6. Implementing your data strategy

    Once it’s all under control, you need to get approval from the company and then start implementing your data strategy.

    With time, organizations’ size of data has been increasing, and data is becoming more and more valuable. A robust and efficient data strategy means you’re using your data in the most efficient way, which will maximize your profit as a company.

    Once you’re set to implement this strategy to work on data, you must have a question about how to do it the “modern way”.

    We need to focus on the following things to make it more efficient by combining it with modern technologies.

  1. Interface

    First, you need to build an easy to use interface which can be accessed by any business person easily. An easy-to-use interface allows people to analyze data on their own as data is available to them easily

  2. Performance

    Your data strategy model must have a fast and timely performance. Suppose you’re searching for something on your phone, and it takes a little bit more time than expected? What do you do? You probably moved on to another task already. We should build our data module in such a way that data will be easily available in time.


In today’s world where data will keep on increasing, we need to find some new efficient way for using our data. In the 21st century, we just can’t rely on total paperwork. It’s time-consuming and takes too much storage too. We need to accept the fact that cloud computing is the future of data analysis and then combine our modern techniques with data to utilise it most.

Snowflake is one such cloud data warehouse that has a multitude of benefits, with its pay-as-you-go model, easy scalability, quick response time, and security. If you’re looking to invest in a cloud data warehouse that fulfills your business needs, book a session with us!

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