Today, companies are challenged with organizational silos and fragmented data sets, due in part, to using large numbers of technologies that weren’t developed with the purpose of working together. This ‘data problem,’ results in separate customer profiles across teams and an inability to build cohesive views of your customers or a true understanding of performance. Piecing back together disparate views of your customers and/or being forced to buy back your data from vendors can be costly in terms of time, money and resources. It is possible to take full advantage of your customer data without the time consuming, inaccurate, and resource–intensive data integration processes that were used in the past.
Tealium DataAccess is a suite of rich data services, offering a clean, fully correlated dataset of event, clickstream and visitor data all delivered to you in a format, nomenclature and time table that works for your business intelligence (BI) or enterprise customer data initiatives. Tealium’s forward–looking, real–time approach to data collection and enrichment eliminates the speed barriers by generating the richest source of customer data and making it available for instantaneous use across an organization.
In today’s interview, listen to Tealium’s Chief Innovation Officer, Jay Calavas, discuss the benefits that DataAccess can provide your digital business.
For Tealium, it’s always been about the data. Whether that is managing marketing solutions and facilitating the communication of the data directly to your technology vendors, (Tealium iQ), aggregating the data in real-time to build a universal visitor profile and delivering actionable data points, (AudienceStream) or providing a comprehensive data set to give you flexibility and power when it comes to reporting and analytics (DataAccess) we ensure organizations can achieve and surpass their digital business goals.
If you’re interested in learning how Tealium DataAccess can eliminate the data fragmentation problem in your business, we’d be happy to schedule a customized demo.
