In this blog, we provide insight as to why manual data practices can bring unnecessary risk to your projects and how to overcome those obstacles.
While every analyst knows that automation practices lead to better data quality, more accurate reporting, and ultimately the ability for them to focus on more analysis, starting the process to fix or automate data usually brings to light all the dirty laundry that has been tossed aside over the years.
So if the manual processes are working “well enough” and you have great analysts on the job, then the next thought is often “automation can wait.” But this thought process needs to change, and here’s why:
But the good news is that most, if not all, of these potential risks can be mitigated by automating your data processes as much as possible.
Questions about where to start? Sign up for a data strategy session, and one of our analytics experts will consult with your company about your data and analytics strategies and processes.
To thrive with your data, your people, processes, and technology must all be data-focused. This may sound daunting, but we can help you get there. Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.
In one hour, get practical advice that you can use to initiate or continue your move of data and analytics workloads to the cloud.
During your free one-hour cloud strategy session, we will: