Data Analytics of Corporate Data to Determine Strategic Product, Process and Technology Development Areas

Project Description

B37 Ventures is a Venture Capital firm. We invest risk capital in early stage technology startups in the USA. Among the investors into our venture fund are several global corporations with complex and sophisticated operations and serving 60 countries with their products and services.

In one sentence, we invest to create strategic value for our corporate investor and a growth advantage for the startup. To slightly expand on that, the model we are proving is that by leveraging the unique assets of a large company while also levergaing the unique assets of a startup will create value for each player. For the corporation they get an otherwise unobtainable competitive advantage by some alignment and engagement with the startup. For the startup they get an otherwise unobtainable growth advantage by access to the global reach of the corporation. Each party gets something that unleashes valuation.

B37 is now to be given access to a vast amount of data from one corporate investor, a global corporation, including their (i) business intelligence (what was sold, by whom, when and how), (ii) cost to manufacture (supply chain info), and (iii) cost to serve (profitability of each channel, route or product). This data will come from sources like sales’ ERP (Oracle), Maximo, CDE, SATEC, and office tools like email & Yammer.

Our value proposition to this corporate investor is that by applying the right analysis on the data then we'll yield results which helps B37 make better investment decisions for their strategic needs and results that also serve the accomplishment of their articulate and sophisticated corporate “Transformation Objectives”. In short, our corprate investors want to stay out of the “Innovator’s Dilemma”.

"Phase 1” is an Advisory service. This Phase of the project has two primary objectives: (i) engage with a data scientist to consult with B37 and improve our articulation and understanding of what data might have the most utility for our B37 objectives and to our corporate investor, and (ii) define the appropriate parameters and search criteria to meet those objectives. Phase 1 is largely "advisory services" to the B37 Ventures team by providing an education in how data analytics, machine learning, AI, etc. can be applied to the data we anticipate getting acces to and for the outcome described. 

I stress that, for the moment, we do yet have access to the data. We're deep in discussions with one of our corporate investors to receive data and the Advisory service will help us frame our request in the best possible way.

Following Phase 1, we intend to quickly pursue the next Phases (may be more than one or more additional Phases) which include (i) accessing the data from our corporate investor (format tbd), (ii) subject it to expert analysis/analytics, and (iii) convert the “data” into “ information" that has the utility I’ve briefly described above.

All deliverables will come directly and only to the B37 Ventures team.

Note 1:  Many "Categories" are selected below as we'll get access very likely to a wide cross section of the corporation's data.  Together we may decide to narrow and focus on 1 or 2 to start with.

Note 2: The Project Start/End dates and Budget listed below are for Phase 1 as I describe above.