Data integration is fast becoming a business need.
As the complexity of IT environments continues to grow, the need to harness and engage with business data is both critical and challenging. With the rise of new data streams and the need for advanced tools to translate them into business insights, there is a clear and present need for a solution to enable data-driven business decisions at scale.
Artificial intelligence (AI) works hand-in-hand with data integration functions to sanitize and automate the flow of data from its source into the analytic system.
ChangeCX applies next-generation technologies in data integration and AI to fuel your business transformation, converting your data to actionable insights and enabling agility from end-to-end.
Data integration simplifies data science and enables real-time decision-making, combining data from disparate sources into a single source of truth. Working together with analytics tools, data integration puts reliable, actionable business intelligence at your fingertips, helping you achieve your business goals faster, even during times of rapid scale.
Transforming your raw data into formats usable by data scientists is an essential task for any organization wishing to leverage the power of their company’s data. ChangeCX facilitates this process, building architectures, tools, and processing systems to form a functional analytics infrastructure.
What is your data telling you? Massive volumes of data require visualization tools to derive maximum value from its insights. We design visualization systems that make it easy to understand the information your data contains. When you see your data in context, it tells a story, leading to better business decisions and greater value.
Customer behavior is the single best determiner of where you should be putting your efforts. Customer data shows you what they love about your brand and where they’re not looking. Knowing these behaviors helps you channel resources into the right areas, improving customer engagement and optimizing efforts in every department.
Machine Learning and Deep Learning
Machine learning (ML) and deep learning (DL) are components of AI, but each has a very specific meaning and function. These terms are often used interchangeably, and while you might think of DL as a subset of ML, it’s the implementation of AI that sets them apart. ML learns, but it still requires human intervention. DL leverages AI to make algorithmic adjustments automatically, reducing the need for manual engineering.
Leveraging the power of data is both exciting and challenging. Making the best business decisions relies on having the right data to work with. ChangeCX is here to simplify the data integration and automation process, helping you achieve your business goals faster.