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.
Once a company has accurate, timely and well-organized data, the question of how best to use that data arises. What business questions can the data answer? What tools should be used to analyze the data to answer the business questions? How can the answers to the business questions be incorporated into the company’s business processes and decision cycles?
Infinitive’s business and analytics / AI experts help companies define the analytical objectives required to accelerate the enterprise’s corporate strategy. Those same experts develop and train AI algorithms and models, test the models, and integrate the trained AI models into the company’s existing systems or processes. Infinitive also put programs in place to continuously monitor the performance and behavior of the deployed AI program for data quality, model accuracy, and system performance.
Infinitive’s Information Technology Governance, Risk and Compliance (IT/GRC) experts address ethical considerations and potential biases within the AI program. They implement programs so the client can ensure transparency, fairness, and accountability in AI decision-making.