Bringing data quality into regular conversations aligns everyone with potential challenges and warms up collaboration between tech and business teams – historically, which has always been disjointed and disconnected.
Rule Be clear with job roles. For example, asking hong kong rcs data your marketing and salesperson to clean a contact list without providing the necessary data quality tools to do the job sets them up for failure. Or, asking your IT teams to create dashboards and presentations for marketing without giving them the context of the data is also setting them up for failure. Be clear with job roles and ensure your teams have the right tools, processes, and context to work on data.
Rule Leadership teams need to understand data challenges. decisions based on flawed data, but many do because they don’t fully understand the data issues at play – like duplicate IDs leading to potential security breaches, poor data practices leading to potential fines and penalties, or even missing records and outdated info that directly impact bottom lines. If leadership teams don’t get a handle on these problems, they risk steering the business in the wrong direction.