Business users count on high-quality data every moment of every day.
In practical terms, data needs to be “fit for use”. That is, you data should add value to your existing operations and help users make better, more accurate decisions in the course of doing business. For most organizations, ensuring that data is fit for use entails three distinct disciplines.
- Traditional data quality: the ability to cleanse, standardize and validate data
- Location intelligence: the ability to see data in context of location
- Spatial analysis: the ability to understand the relationship between two or more data points
Today, 70% of all records contain a location element and knowing “where” affects decisions in virtually every aspect of an organization. Consider:
- Marketing can gain insights into customer needs and buying habits
- Insurance underwriters can identify potential risks (such as proximity to a flood zone)
- Finance teams can assign proper tax jurisdictions
- Sales managers can develop territories based on true market opportunity
- Service teams can plan routes to minimize logistics costs
- Facilities managers can develop optimal network strategies
Location and spatial analysis are so critical, in fact, that organizations are increasingly looking to incorporate geocoding, location intelligence and predictive analytics as part of their core data quality platforms and processes.
This month, Navin Sharma, our Director Global Product Strategy, will share how these market realities play out in the latest release of the Spectrum™ Technology Platform. This informative webinar will include details on how you can integrate enterprise geocoding, location intelligence and a new geo-confidence model into your core CRM, ERP and legacy systems. Ideal for data stewards, IT managers and business users, I invite you to register for this Webinar today and get the facts on today’s best practices in data quality, data management and more.