WASHINGTON, DC – iDS, a professional services consulting firm based in Washington, DC, is pleased to announce the hiring of Philip Ogan as an Managing Consultant.
“Philip has the unique ability to communicate clearly and effectively with clients, customers, and technology vendors, and is always pursuing excellence while working to provide the most efficient and defensible solutions – particularly when it comes to cases involving ATMs,” says founder and CEO at iDS, Dan Regard. “His work ethic protects clients and provides actionable data that he interprets with 25 years of on-the-ground experience.”
Philip possesses an in-depth understanding of litigation lifecycle and EDRM models. With over 25 years of e-Discovery/Forensic experience and over 20 years of leadership/supervisory experience, he also has the strong ability to multi-task, delegate, manage, and prioritize projects, and has excellent communication skills. Not only does he have an in-depth and expert knowledge of Relativity, Encase Enterprise, and Office 365 Advanced eDiscovery, but he also has strong analytic skills that allow for the recognition of any potential issues while recommending the “best practice solutions”. He has the ability to balance counsel/court driven directives with defensible best practices and possesses excellent mentoring and teamwork skills.
“I am excited to join an organization that prioritizes client outcomes, and I look forward to adding to their amazing stable of expert talent.” Philip explains.
Philip has spent most of his career actively engaging in primarily financial forensic investigation with NCR Corp. He graduated from the University of Dayton, has direct law enforcement experience, and has earned numerous industry certifications and specialized certifications across a broad range of vital technologies.
iDS provides consultative data solutions to corporations and law firms around the world, giving them a decisive advantage – both in and out of the courtroom. Our subject matter experts and data strategists specialize in finding solutions to complex data problems – ensuring data can be leveraged as an asset and not a liability.