5 ways Data Learning Helps Data Engineers Impact the Bottom Line
As a data engineer in today’s data-driven competitive environment, you should feel good that your hard work is essential and delivers significant business value. But is your business value recognized? And if not, how can you make sure that it is?
Your Value is not Always Recognized
Despite your job security and compensation, like many data engineers, your hard work may go unnoticed or seem undervalued. There are many reasons why this may happen:
- ROIs are only used to justify investment decisions and allocate resources. Few ever measure actual impact after the fact.
- Your data engineering work is developed and implemented with specialized data management tools. Your business colleagues only value applications, not the tools the enable them.
- In addition, few ever see or measure the ongoing work you do to optimize, fine-tune, secure, and maintain the data products that are the lifeblood of your digital business.
Everyone deserves a little recognition. And given all that you do, as a data engineer, you deserve more credit than most.
So what about you? Do you feel valued? Or are you just fairly compensated?
If the latter, read on to see what you can do to change that.
Where Data Engineers can add Value
As an engineer, you know the best way to prove anything is to show that it works. The same is true when proving your value.
For data engineers who use Keebo’s data learning platform, proving your value is relatively easy to do. Here are five ways data learning helps:
- Deliver Business Value Sooner: Data learning accelerates performance optimization, a critical step repeated across design, development, testing, and deployment. This results in a faster overall time-to-solution so your business can realize your solution’s value sooner. A project such as a new recommendation engine might generate an additional $1 million in revenue per month. If data learning helped you accelerate the project by two months, then you can get credit for an additional $2 million in revenue.
- Save Data Engineering Development Time: Data learning accelerates performance engineering efforts, person-hours you can reallocate to other areas.
- Empower Your Business Analysts: If your organization is like most, you and your fellow data engineers have more work than you have time. Addressing this backlog is far easier if you can automatically empower business analysts to solve many of their performance problems instead of relying on your data engineering team. This empowerment reduces distractions, leaving more time for other valuable data engineering work.
- Lower the Cost of Maintaining Existing Data Products: Often, more than 80% of data engineering time goes to support existing data products. And as these assets age, the data engineers who built them turnover. The data engineers who follow lack the original engineers’ detailed knowledge. Data learning not only knows and optimizes the as-built data, queries, and models, but it also automatically learns and reacts appropriately to any changes in the future. Hence, performance SLAs remain high both today and tomorrow.
- Reduce Cloud Compute Costs: In today’s cloud-based environments, your organization pays for its compute power and storage by the drink. Poorly performing queries use extra computing and therefore increase costs. As a data engineer, you can use data learning to reduce the number of poorly performing queries, and in turn, significantly reduce your organization’s monthly cloud or data warehousing bill.
Now is the Time to Show your Financial Impact
As you can see, data learning provides five different ways to show how you, as a data engineer, can impact the bottom line. That’s great news for your organization–and better news for you when the time comes for raises, bonuses, and promotions.
Adopting data learning is easy. Bring data learning to your organization so that you can show them the money! Request a free trial of Keebo’s Data Learning platform.
