Unify your business data and integrate it into a secure, governed hub prepared for analysis with your chosen BI tool
Available as a fully-featured, on-demand SaaS product
Cloud, on-premise or hybrid
This white paper aims to set businesses on the road to understanding and working with GDPR
The latest from our blog
Download this strategy guide for seven important factors to consider when planning for hybrid BI.
Meet our management team and contact our offices in the UK, USA, and Australia
Opportunities for VARs, ISVs and software vendors
Keep-up with the latest goings-on at ZAP and the events we’re attending
Raise a support ticket and explore our knowledge base, user forum and more
A wealth of materials to help you become a data driven business. Videos, webinars, mentoring and more
Get in touch
Subtitled “Four opportunities to save time and budget, while enhancing depth and quality of Business Intelligence analysis,” today ZAP publishes a new white paper which explores the benefits of automated data management software in the quest for actionable analytics.
“Our over-riding aim in this White Paper is to help self-service BI users perform complex analysis without impacting either performance, operational timescales or the integrity of their underlying databases,” explains ZAP’s CEO Garth Laird. “The net result being that BI users become free to explore and analyze multiple, integrated data sources and uncover previously hidden insight.”
Four key opportunities to save time and money from automated data management are explored in depth, from the perspective of a self-service BI user and IT manager working with products such as Microsoft Power BI, Qlik or Tableau:
Key findings in this new white paper include how to connect to a business’ disparate data sources in the most secure, straightforward and efficient way – as an alternative to manually preparing data for analysis with self-service BI, or directly connecting to source databases.
We examine how the time and resource required to find, understand and prepare data for analysis can be greatly decreased, as well as how to handle data security and legislative compliance – whilst limiting the need for specialists, data engineers and key-person dependencies – when accessing disparate or siloed data from across a business.
Click here to download the white paper, or head to our blog for the latest comment and opinion on all areas of data management.