The right database architecture allows businesses to scale painlessly while growing its data infrastructure.
The Purpose of a Data Architecture and why it’s important to your business
Data is everywhere in business – from systems, to departmental databases, spreadsheets, and reports. Often erratic and duplicated across systems, the quality of your data depends on multiple variables. Despite the chaotic quality your data can have it is the core of business – which makes the need for quality architecture more important.
Data Architecture is the process of how you organize, collect, store, and utilize data with the goal to get quality relevant data into the hands of those who need it to make informed business related decisions. A strong architecture enables you to standardize your data helping you make informed decisions for sales, marketing, and forecasting.
Data Architecture are the policies, rules, and models that determine how data gets collected and what kind of data- included and/or transformed for processing and storage. This can include rules governing things such as file systems, databases, and systems that connect data and the business process consuming it. A strong data architecture enables you to standardize your data helping you make informed decisions for sales, marketing, and forecasting down the road.
Symptoms of poor data architecture include:
- Slow applications, difficulty to scale
- Latency spikes under load
- Unscalable databases
- Code that needs to be refactored
- Mismanaged data models
Mismanaged data models eventually form a “spaghetti” architecture of disparate systems, which can lead to massive headaches in every business unit or department. Cutting corners on Data Architecture in the short term can have long term ramifications If you have any questions, need clarification, or want to talk data – reach out to us here!