Large organizations in every field already know and rely on the power of analytics. Most data science projects improve performance against the targeted metric by more than 10%. For example, here are some typical experiences we have observed with clients using analytics effectively:
Among large companies, the top data initiative for 2018 is machine learning followed closely by big data. Among small and medium-sized companies the number of machine learning pilots in 2018 will be twice the level in 2017 and will double again by 2020. Leaders of companies of all sizes are learning and experimenting with machine learning techniques; no one can afford to be left behind. At Analytics2Go, our focus is augmented analytics. Augmented analytics is similar to data science projects in that:
What is different with augmented analytics is that we go beyond the identification of insights. Most companies struggle to apply insights effectively across their organizations. What may seem evident or even simple to a data scientist after a few weeks or a month of work may not be easily applied to everyday decisions by the company’s workforce. With augmented analytics, our micro apps are designed to support specific recurring decisions, such as customer quotations, forecasting or purchasing.
Rather than expecting decision makers to connect the data insights to the specific decision at hand, we provide a recommended decision or action based on the underlying machine learning insights. Augmented analytics delivers optimized decision recommendations to individual decision makers in real time. We complete the insight-to-value process and allow individual decision makers to take advantage of analytic insights without mastering machine learning themselves.
We maintain the analytic apps and regularly monitor their performance. We have automated the process of converting data science insights into actions. Our goal is to make augmented analytics less complex and more affordable so that our clients will not need to hire their own data scientists. Do not get left in the dust. Bring your company into the future, and embrace augmented analytics.