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5 Things to Do Before You Start a Cloud Data Analytics Project

5 things to do before you start a cloud data analytics project: this is a photo of are 5 checkmarks

5 things to do before you start a cloud data analytics project: this is a photo of are 5 checkmarks

 

 

In the average Fortune 500 company, roughly 400 million decisions are made every day. To make informed decisions quickly requires access to accurate data and near-real-time reporting. 

 

If you’re ready to scale data and analytics projects at your company, you should be ready to embrace the cloud as part of your data management portfolio. A recent survey from IDG showed that the top reason enterprises migrate their data to cloud platforms is faster time-to-value for implementing analytics projects

 

Managing, sharing, and accessing data insights is easier to do with a cloud data warehouse and cloud-native solutions. So what do you need to do to get started?

 

First – Make a list of questions and considerations

Every business has different budget constraints, technology bias, and infrastructure needs. So you’ll want to ensure that you list and address those concerns before making any decisions.

 

Some questions you may want to consider include: 

 

  • What is your desired business outcome?
  • What is your budget?
  • What are your data governance requirements?
  • What are your concerns about moving to the cloud?
  • What are the different use cases across your business?
  • What are your infrastructure security needs?

 

All of these questions should be answered with key stakeholders in your organization so you can ensure your project will be supported within the organization.

 

Second – Identify where data your data is

Data volumes and varieties continue to grow so you will need to understand exactly what will be collected and how access will be shared. Make sure to identify where data in your organization lives, and more importantly, how to keep sensitive data confidential. 

 

You can use our free template to track what your data sources are, how to authenticate with them, and the requirements to access the data.

Third – Assemble a wish list of outcomes

Are you looking for faster time to insights and reduced costs? Or do you need to prioritize data governance requirements? Make a plan of what success looks like at the beginning of your journey so you can work toward that outcome. Think about how cloud data management can help your business in the short term and the long term. This can help you determine how the time and resources you give to this project.

Fourth – Evaluate your vendors

Major cloud data warehouse providers offer different benefits. Therefore,  it’s important to make sure you pick the one – or more – that will align with your desired outcomes. Supporting solutions in the cloud that enable ETL/ELT, data visualization, and analytics often have free trials that can help you get familiar with the UI and run a small proof-of-concept (PoC) before committing any of your budget. 

 

Learn more about running an ETL/ELT PoC in the cloud here

Fifth – Make a timeline and understand the data journey

 

Every journey begins with a single step and getting your data into the cloud is the first. Once you decide to begin, take a moment to understand how moving your data architecture into the cloud can take you from simple extract and loading operations into complex data transformations for machine learning or advanced analytics. 

 

As you progress on your data journey, your goals may change. Consider finding a vendor or consulting partner after you complete your initial evaluation.

Take the data journey maturity assessment

Learn what it takes to get to each step of cloud data maturity in five minutes by taking our assessment.