Visual BI Solutions to Showcase Offerings for Microsoft Power BI and SAP Lumira in Gartner Data & Analytics Summit 2019
Visual BI Solutions, a niche Business Intelligence (BI) & Analytics firm and a Microsoft Gold & SAP Silver Partner, announced its participation in the upcoming Gartner Data & Analytics Summit on March 18-21 in Orlando at Booth #913.
In this event, Visual BI will be providing an exclusive demo of their following BI products that help enterprises deliverable actionable insights:
- ValQ – available for Microsoft Power BI and SAP Lumira. This product enables enterprise users visualize business models and conduct their planning, forecasting & simulations in an agile manner.
- VBI View: The One Enterprise BI Portal to Manage Multiple BI Platforms. This product enables enterprise users consume dashboards & reports from multiple platforms and comes with value added features such as auto-sync, metadata management, usage reporting & more
In addition, Visual BI will be exhibiting a variety of other offerings including but not limited to BI executive workshops, quick-start engagements, strategy/ roadmap sessions, BI cloud migration & corporate BI training.
“Gartner Data & Analytics Summit will be a platform that offers tremendous opportunity for us to showcase our unique value driven products offering agile analytics techniques and customer success stories covering Microsoft & SAP Analytics, with both business users and technical support teams alike,” said Gopal Krishnamurthy, Founder/CEO, Visual BI Solutions.
Gartner Data & Analytics Summit 2019-Click here to view the agenda and register for the event.
Data and analytics leaders are fueling digital transformation, creating monetization opportunities, improving the customer experience and reshaping industries. Gartner Data & Analytics Summit 2019 provides the tools to build on the fundamentals of data management, business intelligence (BI), and analytics; harness innovative technologies such as artificial intelligence (AI), blockchain and the Internet of Things (IoT); and accelerate the shift toward a data-driven culture to lead the way to better business outcomes.