The Quality Score streamlines business processes, reduces redundancy, and enables your team to operate at peak performance by quickly identifying and correcting data issues.
The Quality Score enables tracking of data quality over time, showcasing improvements and identifying trends.
The Quality Score sets a benchmark for data quality against peers, driving competitive excellence.
The Quality Score bolsters stakeholder confidence in data-driven insights, supporting credible and reliable analytics.
Data Quality Score serves as a linchpin for the success of AI projects, impacting everything from the technical reliability of models to the strategic decisions they inform (Garbage In Garbage Out).
A high Data Quality ensures more informed decisions, optimizes sales strategies, and ultimately drives better results.
Data Quality Score can assist in evaluating the data assets of potential acquisition targets, thereby informing valuation and integration strategies. After the acquisition, Data Quality Score can identify potential issues early in the process, ensuring a smoother integration and minimizing disruptions.
High-quality financial data is essential for accurate reporting, budgeting, and forecasting.
By targeting campaigns based on reliable data, businesses can increase the ROI of their marketing efforts, avoid wasted resources on misdirected campaigns, and better understand customer needs.
The Delpha Quality Score acts as a health indicator for an organization’s data ecosystem, guiding data governance, management strategies, and operational excellence.
The Delpha Quality Score is available for Accounts, Contacts and Opportunities.
Delpha AI-driven engine analyzes data across six critical dimensions represented in a synthetic visual:
• Completeness – Data is present.
• Validity – Data meets defined rules or formats.
• Uniqueness. – Data is unique.
• Consistency – Data is conform to the equivalent set of data.
• Accuracy – Data correctly describes the “real world”.
• Timeliness – Data is up-to-date.
The Data Steward can navigate through the six dimensions to understand where issues lie and filter out what needs to be corrected.
The Data Steward can accept or reject Delpha’s recommended values with a single click. The confidence score, combined with the intuitive display of the six dimensions, provides critical insights.
The Delpha Co-Pilot Conversation is streamlined, allowing corrections to be made in just a few clicks, saving saving hours of manual work for the end-users.
The Quality Score enables tracking of data quality over time, showcasing improvements and identifying trends.
The Quality Score sets a benchmark for data quality against peers, driving competitive excellence.
The score identifies key areas needing attention, allowing sales teams to focus on high-quality leads and opportunities, which can increase conversion rates and revenue.
It serves as a benchmark for data-driven performance, clearly demonstrating the impact of data quality on sales targets and enabling teams to set realistic goals for future quarters.
Sales efforts and resources can be optimized by targeting accounts with the most accurate and reliable data, ensuring time is not wasted on leads with poor data quality.
A higher data quality score reduces the risks of sales forecasts being off-target due to unreliable data, leading to more predictable and stable sales outcomes.
High data quality enables more personalized customer interactions and follow-ups, fostering trust and loyalty which can lead to increased upsell and cross-sell opportunities.
