Data transformation empowers companies to unlock the full potential of their data, leading to improved competitiveness and innovation. Structured and unstructured data from various sources, such as databases, spreadsheets, or even external systems, is processed, cleaned, and consolidated during the transformation process. On an operational level — accurate, current data allows functions like customer service to excel. For example, a call center representative who must put a customer on hold and transfer the customer to another rep invariably frustrates the customer. A data transformation that consolidates all customer data in one logical store, accessible by all customer service reps, allows for “one touch” customer service which improves customer satisfaction, loyalty, and retention. Transformed data also allows for advanced analysis techniques such as predictive and prescriptive analytics as well as text mining to successfully operate. Finally, data transformations allow companies to implement AI. AI algorithms, particularly those based on machine learning, heavily rely on high-quality, accurate, and relevant data for training and making accurate predictions or decisions. Data transformation projects make this possible.

Infinitive data transformation experts use The Infinitive Data Transformation Methodology to help companies clean, consolidate and organize data so the company can achieve operational excellence, implement advanced analytics and enter the new world of AI-driven results.