Government and industry organizations utilize data to create superior products and services, streamline operations for cost savings and respond to customer needs and expectations. Emerging data trends include: Data-as-a-Service. As the future collaboration expands beyond the enterprise, the need to share governed data, models and insights within the same agency or organization is growing exponentially, prompting both government and industry to...

According to a recent McKinsey report, government services still lag private sector services when it comes to “customer-experience-satisfaction.” However, data is helping government reimagine how services are delivered in the digital era. AI, automation, and customer journey analytics can turn data into powerful building blocks of understanding the customer experience (CX). The challenge will be doing it amid a proliferation of dat...

Data comes from many sources, data definitions, variations in data, different systems, and from many users. It is important to gather and identify data from a multitude of sources to explore data patterns and data trends to be used for forecasting, planning, future strategies, innovation, research, and others that are not affected by fluctuations, repeated sequencing over fixed periods of time, unexplained random variances, and much more. Ever...

Implementing customer experience (CX) strategies and principles isn't just about making people happy. CX methodologies and strategies are a disciplined approach tht demonstrates a quantifiable impact on outcomes that matter - from achieving the mission to efficiencies through managing the budget, to improving employee engagement, strengthening equity in service delivery and strengthening trust in government. Government services change the live...

DescriptionRobust, accurate, timely, structured, and relevant data that provides a unified view is a necessary requirement for sound business strategy. Agencies and industry alike need to know how to identify and match, correct, implement identity rules, enforce adoption of taxonomies and analytics and reference data while also establishing and communicating information policies and mechanisms to ensure effective data use with policies, rules,...