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Start making decisions based on facts and forecasts. Automate you work and introduce innovative ML/AI products.
Did you know that based on Gartner’s research 85% of AI and ML projects fail to produce return for the business? Most stakeholders report that it’s not technology, but lack of adequate skills and strategy that impedes the success. Let us help you find the right use cases and build a roadmap to transform your data into value.
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Build a robust data pipeline with a data lake and/or a warehouse at it’s center, as a foundation of your BI and AI initiatives. Make your data an easily available asset that will drive your business. Already having deployed data architecture but it’s performance is falling short of expectations? We can help.
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Have a complex decision to make? Test your hypothesis and answer business questions with data. Advanced analytics is also a good way to validate your data initatives before making more significant commitment.
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AI is a big buzzword. Are you ready for it? Most companies aren’t. Let us assess (or find) your use cases and verify whether you have the right capabilities, architecture and data to succeed. You’re there already? Let’s build it! From a PoC to production.
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You won't know it until you see it. Is it reducing cost? Or increasing revenue? How is it going to affect your business?We need to know why, before going to what. AI, BI and data-driven are great buzzwords, but you don't know if you need them, until you prove that you do. Data can answer many questions – pick only the ones that will drive growth and improve your work, test it before committing. At Nostre, we look for value with data. You should do too.
Don't only do – teach. At first, we'll do the work for you - we'll plan and execute. But it's never a one time cost. Plan your expenditures to scale and refine your solution, it needs to evolve. Let other people understand, so they can contribute. To do that, you need the right capabilities and the right team. That's why we don't only design and build solutions – we help you hire, learn and take over.
Strategize. Don't plan for your current use case – plan how it will affect your whole organization – think how data can impact different functions and improve their work. Assess how it affects your portfolio of applications. Prepare your solution for current and future needs – it needs to be flexible as the market and your business change. Create KPIs, measure and adjust, analyse on a system level. Have a data strategy.
