Data Management and Analytics
Your analytics are only as good as your data
The role of an analytics developer is to write an analytic against data in order to deliver value. But the developer can only succeed if the right data is available and in a form the analytic can use. That’s the role of the data engineer. After the analytic results are obtained, the data engineer must also make sure that those results are delivered where they need to go and in a form that’s ready to use. That might be to another application, to a report, or to a downstream system.
Why selecting the right data engineer matters
Without a highly competent data engineer, analytic developers can spend most of their time (up to 80% in some cases) transforming and normalizing their data instead of spending their time actually developing analytics. That can be very frustrating, inefficient, and expensive.
An Azentera™ data engineer will sit down with your analytics team and business stakeholders to discuss your analytics objectives and help determine your data requirements.
We’ll investigate questions like:
- What type of data is required (e.g., tweets, voter records, etc.)?
- Where does the data reside now (e.g. another system, network file system, external hard drive)?
Our mission is to partner with your analytics team
Depending on your requirements, we will recommend and implement a data engineering solution that includes:
- A data dictionary with appropriate field definitions, data types, and formats
- APIs, user interfaces, and reports for proper data delivery and presentation
- Other hardware and software needed to meet all data engineering requirements
At Azentera™ our mission is to partner with your analytics team so they can stay productive and focused on what they do best — building great analytics that deliver real business value.
