We’re data driven
DesignMind consultants develop big data, business intelligence, cloud, and data analytic solutions in San Francisco, Silicon Valley, and throughout the U.S.
Headquartered on Market Street in San Francisco, we help business leaders understand how to leverage technology to gain competitive advantage and drive business success.
As an established technology consulting firm, our team of software, database, and business intelligence consultants deliver high quality custom software, websites, portals, collaboration platforms, database applications, business intelligence and big data solutions. Our consultants have experience in many industries, including high tech, software, food & beverage, financial services, real estate management, biotech, healthcare, and government.
Our clients include Autodesk, Bridge Housing, Columbus Foods, Gracenote, Intuit, Iron Mountain, Jamba Juice, Kendall-Jackson, Littler, McAfee, One Medical, Prosper, Restoration Hardware, and WorldVision. Learn more about our clients.
We have expertise in a wide range of technologies, including .NET, Java, SharePoint, and SQL Server. Our consultants also specialize in Hadoop, Cloudera, MapR, Power BI, Qubole, and Profisee technologies to develop database and custom applications that are both powerful and cost-effective. Get to know our leadership team. The systems we develop range in size from departmental to enterprise applications, and our database experience includes multi-terabyte systems and data warehouses.
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Our team members are actively involved in the latest developments in their fields. You can see what DesignMind consultants are writing on our DesignMind Business Intelligence and Big Data Blog.
We’re actively involved in many community software groups, including the Bay Area Microsoft Business Intelligence User Group, the San Francisco Microsoft Data Platform User Group, the San Francisco Power BI User Group, and the Silicon Valley Microsoft Data Platform User Group. You can keep up to date on upcoming topics on our DesignMind BI and Big Data News page.