Areas of Practice
Analytic strategy is about analyzing analytic opportunities, deciding which analytic opportunities to pursue, ensuring that your efforts are most likely to result in value to the organization, and measuring the value produced. ASP helps companies develop and evaluate their analytic strategy.
ASP can provide an experienced expert witness for litigation support in cases involving analytics, data science, AI, data intensive computing and related areas.
Although the research community continues to develop new analytics models, from commercial deployments of neural networks and classification and regression trees in the 1990's, to support vector machines and graph algorithms in the 2000's, and deep learning in the 2010's, best practices for building, testing, and updating analytic models has always been more important than the particular analytic model chosen.
Building a good analytic model is only the beginning. It is usually more of a challenge to deploy the analytic model in a company's products, services and internal operations. ASP helps companies improve their analytic operations.
Analytic governance is about establishing and operating the appropriate committees and processes so that a company can select and purse the appropriate analytic opportunities, build the required analytic models, deploy the analytic models into a company's products, services and operations, and operate the required analytic infrastructure to support these activities.
Analytic infrastructure refers to be the services, applications, utilities and systems that are used for either preparing data for modeling, estimating models, validating models, scoring data, or related activities. Analytic infrastructure ranges from the traditional relational databases to more recent NoSQL databases, from R to Spark, and from stand alone modeling systems to distributed cloud-based architectures for analytics modeling and scoring.
Valuation of Analytic Opportunities
Often the quickest way to improve a company's analytic capabilities is to acquire a company that has experienced data scientists or specialized analytic capabilities. ASP helps companies evaluate analytic acquisitions, including the associated fit, determining a fair market value, and the challenge of integration.
MONETIZING ANALYTIC ASSETS
It is one thing to build and deploy analytic models and quite another to create analytic assets that grow in value over time. ASP helps companies develop strategies to build analytic assets and to monetize them.
Organizational Structures for Analytics
Analytics can be distributed through an organization, centralized, or a hybrid model can be used. Options also include leveraging an analytic center of excellence, an analytic research organization, or an analytic innovation center. The principals of ASP have been advising on these trade offs for over 25 years.