Systems | Development | Analytics | API | Testing

The quality of your data determines how well it supports your business goals within a given context, be it in operations, planning, or decision-making. Low-quality data cannot effectively serve your purpose. Usually, decision-makers rely on data to support their decisions; however, much evidence suggests that poor or uncertain data quality can contribute to ineffective decision-making in practice.

Self-service analytics, also known as self-service business intelligence (BI), is an ideal solution to open up the process of accessing, analyzing and sharing data to both non-technical users (customers, staff) and data experts (IT, developers, analysts) alike.

Product owners enable data teams to serve your organization’s data needs. Learn to understand and measure their efforts.

For the vast majority of US citizens, the front lines of conflict are witnessed from thousands of miles away on the nightly news. But for government agencies, these physical conflicts are the tip of the iceberg as cyberattacks persist as an underlying constant, inflicting enduring damage regardless of geopolitical tension or location.

Many times, a business treats an engaged customer like a random prospect. Marketing systems may not correctly target with relevance, finance systems may apply discount rules across the board, or customer support systems may treat every client with the same indifference.

Too many data teams focus on data movement and creating data pipelines without aligning those activities to business outcomes. Data teams are meant to make data flows work so much of their focus involves managing data connections across the data ecosystem. Pulling data from Salesforce or ensuring reverse ETL from a data warehouse helps support successful data movement and overall data pipeline development. It doesn't always align to a more effective supply chain or cost savings.