We take a long-term approach to helping you build the right team and use your existing resources more efficiently. We guarantee results and success.
85% of Big Data Projects Fail
Our clients have a 90%+ a success rate
See how and why our clients achieve such an unparalleled success rate.
What is the difference between data science and data engineering?
Does a data scientist or data warehouse engineer have all of the skills to create a Big Data project?
We wrote the book on creating successful Big Data projects called Data Engineering Teams. We invite you to read it and see how we help companies create strong data engineering teams that power data science and analytics teams.
Do you know if your team has the right skills to be successful with Big Data?
What is your team’s probability of success?
Making sure the team has all of the right skills is crucial to your success with Big Data. A team missing critical skills or that has an ability gap have extremely low probablitities of success.
Most Big Data consultancies treat everyone the same – whether they are advanced or just beginners – leaving your team to sort out the mess.
Sorting out the mess takes time and effort, but companies want Big Data results now. This puts your team behind from the very beginning of the project. Other teams have been battling messes for months or more and are on the verge of failure. We figure out what’s wrong, fix the issues, and provide ongoing mentorship to keep the team from getting stuck again.