Data Analytics & Management Consulting

1. Prioritizing the Important Questions

Why? Most organizations have important questions, but their data resides in multiple data systems often with data integrity issues which prevents clients from taking action.

Similarly, while organizations believe there is external data to match, they do not have the resources to bring them together for insights. Stax brings a PE-mindset, specialized teams, and proprietary technology, coupled with deep expertise in data extraction, ingestion, cleaning, data science, and strategy consulting, to bring these elements together in an offering that is fast, agile, outcomes oriented, and cost effective for mid-cap and private equity-backed companies.

2. Using Data Science to Provide Insight

Private equity backed executives and their investors know there should be enough data on market externalities that can be analyzed together with company performance data, to gain insights to inform key operating and investment decisions. Such scenarios often require real data science and technical skills for acquiring and managing large data sets, an experience-based creativity in sourcing data to test, industry perspective, and the intellectual curiosity and persistence to get to the answers that matter.

Our data science projects are staffed with experts across our specialist teams. Using this unique structure and an agile process, we help clients who can hire any firm in the world, answer incredibly valuable questions for major investment and operating decisions. For management teams, we answer their important and historically nagging questions, helping them focus on what matters more, clearing away what matters less, and driving better overall performance.

3. Standing Up Analytics Platforms as Design-Build-Transfer or Design-Build-Host

Most organizations either want to better leverage data to manage their business or they are already on a data journey. When clients ask the best way to set-up analytics platforms, we first suggest choosing important questions to answer and building agile platforms, utilizing mostly off-the-shelf technology to answer those questions.

Why? Because we deliver what you need. We find it’s an easier lift for the organization to quickly drive ROI and learnings, and the organization generates internal energy to continue along with a better view as to what might need scaling up. This also minimizes the risk of trying to install new, large-scale analytics platforms before demonstrating the answers and insight you can derive.