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Integrate, structure, then use your data to actually get valuable answers, faster.
Get your data in shape -->Systems that don’t talk. Spreadsheets preferred over new tools. Valuable data left to die. The reality of becoming a “data-driven business” can feel like it’s a utopia that doesn’t exist at your company.
Leaders across the business know the value of data, and the hope for real change is there. Starting out with a blueprint of your data and the most important questions you need to answer can give you a map through the data chaos. Our data science and engineering experts can help you start small, then scale data structures and solutions for your business that you’ll actually see an ROI on.
You could be just 90 days away from a solution to see more ROI from your data. Step into that untapped potential with a custom solution – something no SaaS tool can give you.
It’s kind of like building a house: you need your blueprint to know what you need to build, and how all the pieces will fit together. Many times when software is acquired, it's a hammer looking for a nail, when you need to approach data architecture like a general contractor.
Data architecture is the structure and standardization around how organizations collect, store, transform, and use data across their business. A strong data architecture helps organizations make better use of their data by understanding where it is, how it moves, and when it needs to be delivered to users.
If data architecture is your blueprint, data engineering is the building of the house itself: from studs to plumbing. Data engineering is the building out of technical infrastructure within your data architecture. Whether in batch or real-time processing, data engineering is often bespoke to each organization's data needs, so having the right partner is critical for project success.
Often included in data engineering is API integration, pipeline development, big data applications and platforms, data integration solutions, and data lakes or warehouses. Software engineers, data architects, and data scientists are involved in building out these components.
Your business can’t afford to not take full advantage of your owned data. We can solve for: