Data Architecture

Ventera helps organizations define and develop data architecture that is composed of models, policies, rules, and standards that govern what data is collected and how it is stored, arranged, integrated, and put to use in data systems. During the planning phase of a new system design, we help our customers  identify the major types and sources of data that are necessary to support the enterprise or the business function.

News & Insights

  • Insight

    by Rich Aurora, Julie Balutis, and Tim Snyder

    Many enterprises have caches of valuable information locked inside individual systems that they need to share with other applications to meet a business mandate or provide value to their user base.  How can information be made available to disparate user interface channels and external applications in a reliable, performant, and repeatable manner, insuring data currency and integrity?  How too can an organization unlock information from legacy applications in a cost effective manner so their investment can be leveraged over time?

  • Insight

    by Sankar Subramanian

    On 23rd February 2015, Gartner released their annual magic quadrant review of Business Intelligence and Analytics Platforms for 2015.

Case Studies

  • Black and Veatch (B&V) is a major construction vendor for AT&T, providing construction services and oversight to over 45,000 annual projects.  These projects build out AT&T’s mobile coverage across the country via activities such as new site construction and technology upgrades to exi

  • FNS needed to modernize its Store Tracking and Redemption System (STARS).  The original STARS was a mainframe-based system that no longer supported FNS’s evolving business requirements.