Business Modeling and Strategic Planning
Have You ever wondered why some equity investors have a strong return on investment and others wallow in the weeds?The answer is not simply how well they coach their start-up portfolio, it is the team of quiet advisors they chosen to help each portfolio company along as challenges are faced and roadblocks have handled.
The Strategic Planning Unit handles challenges faced by high growth start-up companies.Our referrals generally come from equity investors that have identified issues in their portfolio companies that need to be addressed quickly and quietly.In some instances, well intended founders approach directly seeking assistance so that they can show their investors that they are working proactively to correct growth problems and address product issues before they negatively affect the company.
This unit is staffed by seasoned professionals who have operated corporations over the past 20 years and in some cases found success and in other instances have experienced failure.They have however learned from the experiences and are able to work with Start-Up executives and investors to identify actual problems, proposes fixes and help the companies execute in the new business model.
Data Science Strategy and Management
There are many distinct areas within the Data Science industry and different methods and tools that are used to explore Big Data, to determine its value and most importantly to provide actionable results to decision makers that rely on good information to be successful.
The key is that the right tools and methods are used on each data point to properly produce actionable information.
Many companies develop their own tools and apply them to every client.
Many companies use one set of tools and become experts, then force the tool to be right for every client.
Innovation GeoAnalytics recognizes that different tools are needed depending on the type of data, the origin of data and potentially the use of the data.While we recognize that there are certain rules that have to be applied to the cleansing, warehousing and basic security of every data set that our clients present to us, the methods of management, of reporting and of analyzing may require different tools depending on the end use of the data, different requirements for targeting and predictive analytics and potentially how the data is going to be handled and managed following the delivery of system for the entire Data Strategy and Management in the future.
Our staff professionals have a great deal of experience looking at each component of a data, understanding what is needed to improve collection, improve ongoing management and improve the methods used to derive information from data without over-selling its usefulness to any particular decision-maker.
Our Staff is made up of thought leaders.We sit and work with professionals from across an organization in order to understand what is needed from the data, how it is sourced and what the constraints of collection include, in order to generate strategies that can be successfully executed without affecting privacy concerns from the consumer, regulations by government entities or business intelligence issues from corporate leaders.
Business and Location Intelligence
Twenty Years ago the concept of tying all sales and marketing decisions to Big Data analytics was preposterous. The concept that all actions of a company were somehow tied to location had only just begun.Today a corporation, whether start-up or established that is not using their collective data to drive business decisions does not remain in business very long.
This Unit of the company is staffed by professionals with a long history of applying what they have learned from the data their corporations produced, managed and acquired in order to build better business models and share them with their business customers in order to effect better results for the end consumer.
Consider the 1997 Version of AAA© (the American Automobile Association), a consumer would pay a yearly subscription to the regional association and when they prepared to travel, a visit to an office would result in a trip planner, hotel reservations and information about tourist attractions.By 2007 all of that information could be developed online but paper maps were still prevalent and many direct consumers were still making phone reservations instead of using an online system.Research still required reading a travel guide.By 2010 everything was available online and travel agents had to discover a new business model in order to add relevance to the travel consumer.
Now think about all the preference data that was being collected through the process, consider all the data that could be related to the same consumers’ buying habits and preferences.All of the data led to the growth of the business and consumer intelligence field.Consider all the location data being collected not only about consumer preferences but also about the relationship of distance to one’s route, to distance between competitors providers such as restaurants and attractions to a hotel, consider for each season how far someone will travel to each service destination and what you have is the definition of how Big Data, Location and consumer preferences have to build a Business to Consumer Data Warehouse that allows a company to understand their own industry.
Our staff professionals understand all of this data, what to do with it and most importantly how to advise our clients on how to make decisions based on the information derived from it.