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We pursue our mission through three Practice Areas: cybersecurity, data analytics and information governance. We create specific Outcomes, such as better cloud security. We involve the best Technology Partners, expressed as letters, to help us deliver outcomes. We appeal to various and overlapping Audiences within an organization.  

We are our clients’ trusted advisor, someone who can introduce the right technology to solve a specific problem. We serve as a channel partner (i.e., act as a reseller) to carefully selected, best-of-breed technology companies. We like partners that offer ‘second inning technology,’ meaning the partner has a roster of strong reference accounts, yet they are novel to our corporate and private equity firm clients and prospects. By working with us, clients pay the same or even less than they would by going direct to our technology partners, while getting the benefit of our experience.

We compete against much larger competitors in each of our practice areas, but no one else blends the three areas together as we do. We focus on overlooked opportunities, approach data and information assets from multiple perspectives, and pursue a dual mandate of risk reduction and value creation. Being unique and executing well are competitive advantages.

Our Cybersecurity practice focuses on the large, growing, and remarkably under-addressed set of vulnerabilities attributable to weak third parties and vendors, and to the threats from within an organization. Our partners’ cloud security, cyber risk ratings, and other technologies drive other use cases that reduce risks associated with an organization’s data and information assets.

Information Governance addresses data across its lifecycle. A data map is an inventory and visualization of an organization’s data estate – something any chief information security officer would want to see on their first day on the job. Two-thirds of most companies’ data is redundant, obsolete or trivial (ROT). Reducing ROT data lowers storage costs and makes it easier to protect and create value from what’s left. Data classification and deep file analysis drive better enforcement of data loss prevention policies as well as privacy and other regulatory compliance.

CFOs and their financial planning and analysis teams at most companies have spent the past couple of decades learning how to use Oracle, SAP and Hyperion to close the books quickly and to develop business intelligence supporting business decisions. They need to seize the opportunities of today’s golden age of Data Analytics. Increasingly, companies are hiring a chief data officer to spearhead this effort. They all need help to select and deploy the right tools to clean, analyze and visualize structured and unstructured data, and to become more relevant to the business teams they support.