Data quality solutions

The more accurate your address and location data, the more reliable your business outcomes.The problem: An incorrect address can increase costs, risk, and fraud. Multiply that risk by many addresses, and the impact can be significant. Entry inconsistencies also make it difficult to operationalize address data as a tool in analysis, matching, and enrichment.

The solution: To improve consistency for the greatest accuracy in your location and address data, silos need to be broken down.

Geo addressing makes it possible. Integrating both geocoding and addressing capabilities, you get the greatest accuracy in your location and address data, and better enrich that data with context to connect disparate datasets.

For even greater consistency, geo addressing also assigns the PreciselyID, our unique identifier, to each address.

Using the PreciselyID, you can accurately enrich your location or address data with information from our catalog of over 400 datasets containing more than 9,000 attributes, like points of interest and property attributes, dynamic data like demographic movement, or weather changes over time.

Empower your teams to spend less time on manual data prep, and more time unlocking lucrative new possibilities with business-ready data.

By proactively monitoring and analyzing your data for adverse events – and alerting those who need to resolve issues – you can be assured of healthier data pipelines, more productive teams, and happier customers. Not to mention, you’ll diminish the risks of decision-making that’s based on inaccurate analytics, so you can move forward with confidence, and efficiency.

Find out more about the Data Observability module of the Data Integrity Suite

You could have access to all the data imaginable – but if it’s scattered and siloed across multiple systems, it’s not doing your business much good.

Having a single, consistent view provides a more accurate understanding of your data landscape.

The problem: Disparate data systems lead to duplicate, inconsistent records for your most critical entities, like customers, vendors, and products. As a result, you’re held back from better decision-making and greater business results.

The solution: Your approach here should be two-fold:

1. Resolve discrepancies through entity resolution: apply relevant data-matching rules to resolve duplicates and create a single, comprehensive, correct record for each unique entity. Precisely solutions provide extensive fuzzy matching capabilities with a simple interface to resolve potential matches.
2. Gain a single view of critical data: once entity resolution is complete, harness a single view of your data for enhanced clarity and results.
   • Take, for example, a single view of the customer. It should be easy for all users in your organization to access the same view and navigate from the customer record, to orders for that customer, to the products in those orders – all within a simple user interface.

Our data quality solutions make it possible with graph database technology as the foundation with a user-friendly interface.

Whether you’re managing data for customer, vendors, products, and more – they all share one thing in common: information changes fast, and data can become outdated at any given time. Tracking all of those updates across countless systems and formats is tedious, if not near impossible.

That’s why it’s never been more important to choose a data quality solution that keeps up with the pace of a digital landscape that’s always on the move.

Find out how a powerful single view fuels a stronger Customer 360 strategy.

Having high-quality data in your mission-critical systems like Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) enables better efficiency and decision-making. And preventing bad data from entering these systems saves a lot of time and headaches.The problem: Downstream data accuracy issues require time-consuming, expensive fixes.

The solution: With front-end native add-ons for popular systems such as NetSuite®, Microsoft Dynamics®, SAP® and Salesforce®, implementing these checks up front saves time and prevents negative downstream impacts on customer outreach and operational processes.

In short: be proactive for greater efficiency and happier customers.

Learn more about our CRM & ERP validation solutions

See how Porsche ensured effective customer communication while boosting brand loyalty.

How many data entry points live throughout your organization? Chances are you have several, and your data moves through many systems and processes throughout the operational cycle.

The problem: The more your data moves, the more likely it’ll end up getting lost or transformed incorrectly.

The solution: Validation of active data, coupled with smooth reconciliation processes, enables faster identification and resolution of issues.

Most organizations have numerous scenarios where data needs to be reconciled – whether comparing internal data alone or against third-party data, and whether performing reconciliation in batch or with streaming data.

In all cases, and across industries, Precisely data quality solutions make it simple to reroute transactions that can’t be reconciled, to queues for the right team members to review and resolve.

Read a customer success story, Mitigating Insurance Risk: Enterprise Claims and Membership Data Reconciliation