Do you trust your enterprise data?

Throughout my career I have worked with a lot of executives and managers who value making data-driven decisions. While many of their organizations had invested substantially in modern enterprise applications and reporting solutions, these individuals continued to experience a feeling of “distrust” when it comes to their data. What gives?

We’ve all heard the expression, “Garbage In, Garbage Out”. While incorrect data certainly will contribute to inaccurate analysis, often, incorrect data is not the only culprit that causes distrust, anxiety, and other unwanted feelings.

While this isn’t an exhaustive list, some factors to consider in improving data quality include:

• Clarifying solution requirements so that data collected will be used in the manner intended
• Understanding how the solution architecture can introduce limitations
• Understanding how data lineage, data transformations, and synchronization processes can impact reporting
• Determining the best option(s) for resolving data issues when a system has already gone into production

Often, resolving the underlying issues with data may not simply be a technical solution. Rather, data quality issues may necessitate a different approach or engagement with users internal and external to your organization.

Improving data quality can help unleash new insights about your products, employees, customers, and partners, and is a key enabler for AI initiatives.

If you are experiencing data quality issues and would like to learn more about how Lattice Consulting might help your organization, please set up an introductory appointment through the Contact page on our website by clicking the button below.