Do you know the difference when it comes to data professionals? To become a data driven business, your entire team needs to be data focussed. Data is important at every level, from executive to C-suite. If you want to find out more on the value of data at C-suite level, take a look at our blogs on why kleene data matters to the CFO, CEO and CTO.
When you want to get serious about data, you might look to find a data solution or build a data team. But do you know your Data Analyst from your Data Engineer? And what exactly is a Data Scientist? Understanding these roles, what data professionals do and how they work within a business, will help you to understand the data solution you need. The answer might not be as complicated as you think!
Tasked with answering business questions through data (primarily using SQL). Data Analysts are focussed on gathering insights to produce reports and Business Intelligence in order to achieve business goals.
Specialises in building machine learning/AI models (primarily using Python). A Data Scientist will combine science and creativity to ask new questions and make predictions.
Responsible for building and maintaining data pipelines, managing data integrity and security (using SQL, Python, Spark, Go). A Data Engineer solves problems with technology, setting up the foundation for the Analysts and Scientists to build on.
Businesses face four hard data problems. Solving these problems requires either a data team or a technology solution.
Discover the key data problems and who would typically solve them within a data team:
All of these data professionals have a specific and valuable role within a business, but they aren’t always all necessary in a scaling business. Hiring a data team can be time consuming and expensive. If you don’t have the resources to build a data team, technology can provide the solution.
A Data Analyst drives the most business return and will add the most value to a scale-up, but needs the tools to be able to do so.
Our software solves problems one and three, whilst problems two and four are resolved by our professional services offering. Supply a Data Analyst with kleene to discover your single source of truth and find the answers to your business questions. You can choose our Analytics as a Service offering for a dedicated Analyst resource to help guide your business with powerful data insight, or hire your own.
Want to start building a data-driven environment? Book a demo to see what kleene.ai can do for you.
We’d love to show off a bit, so get in touch below.
Messy data causes a headache in companies of every size. Many businesses we speak to think that they need...
Beginning a data warehousing project is often seen as a daunting task, believed to be an expensive and time...