6 Pitfalls to Avoid on the Road to Becoming Data-Driven
Avoid roadblocks on the journey to becoming a data-driven organization.
Let's navigate around these common pitfalls
- Scale your data solutions to keep pace with exponential data growth
- Establish sustainable rules for effective data management
- Ensure stakeholders have visibility into the value of your data initiatives
- Embrace real-time capabilities for seamless data reading and writing
- Automate processes to prevent data engineer burnout
- Connect internal and external data sources for a holistic view
Let's navigate around these common pitfalls
- Scale your data solutions to keep pace with exponential data growth
- Establish sustainable rules for effective data management
- Ensure stakeholders have visibility into the value of your data initiatives
- Embrace real-time capabilities for seamless data reading and writing
- Automate processes to prevent data engineer burnout
- Connect internal and external data sources for a holistic view
Discover the benefits of scalable, clean, and connected data
There’s no question that data-driven businesses perform better. According to research by IDC, companies that invest in data-driven behaviors see results, including 40% improved time to market, 35% increase in new customer acquisitions, and 25% increase in employee retention. Being data-driven gives these organizations a competitive edge because they have better visibility into their operations. And this visibility leads to better, more informed decisions, more effective business strategies, and fewer wasteful expenses.
While there are many reasons why organizations struggle to become data-driven, we believe there are a few common pitfalls that derail even the best of intentions. Six, to be exact.