Wavicle Data Solutions
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As a UX Designer I was able to bridge the gap between big data analytics and the end user. Wavicle had access to very large data sets that allowed me to create more robust solutions for our users through analyzing these enormous data sets.
Wavicle Data Solutions is a trusted cloud, data and analytics consulting and development partner for businesses that want to get more value from growing volumes of data. Well-known brands across industries work with our team of data management experts, cloud migration consultants, and analytics professionals to modernize their data environments; build robust analytics solutions; and leverage machine learning to improve predictive insights.
Combining my expertise in big-data architectures with artificial intelligence and machine learning concepts, I help enterprises imagine new ways to manage costs, increase sales, and become more efficient. I was able to help tap into the right data and get it to the right place at the right time to the right user, no mater the goal.
As a UX Designer, I am able to help navigate through the maze of options and challenges to deliver innovative solutions that unlock the potential of any data. I have become knowledgeable about the capabilities that include: data engineering and integration services, cloud migration services, modern data architecture services, enterprise data lakes/data warehouse services, ETL migration services, analytics dashboard and reporting development, machine learning model development, and data science services..
Mapping out the Journey of Molex employees was a very valuable step in helping our team identify processes along with being able to discover current friction points in their procurement process. My findings helped accelerate our workflow by ensuring that my team of data engineers, analysts and Molex were all on the same page.
While gathering business requirements I began to devise conceptual ways to meet the needs the users while simultaneously considering the limitations of the business. These initial sketches were valuable in getting conversations started regarding what the user interface and information architecture would start to look like.
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After getting a deeper understanding of both the user needs and business requirements I was able to bridge the gap between big data and user experience to deliver a product that is dynamic and effective.
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I teamed up with my data visualization team in order to identify areas that needed accessibility concerns addressed. My solutions allowed ease of use by many users and is inclusive.
Let's make great things together.