SQL Server 2016 Archives - BI and Predictive Analytics

SQL Server 2016 Stretch Database

August 17, 2015 by Derek Leave a Comment

SQL Server 2016 Stretch Database One of the features in SQL Server 2016 that you will want to explore is the ability to store your historical data in the Azure cloud. By leveraging the Stretch Database feature your applications can silently migrate data to the cloud without having to change your existing code. Stretch Database … [Read more…]

SQL Server Polybase (2016)

July 20, 2015 by Derek Leave a Comment

What is SQL Server Polybase? Coming in SQL Server 2016 is the ability to query relational tables as well as data stored in Hadoop or Azure Blob storage. This technology will allow you to continue to leverage SQL Server for your data warehousing and access data stored in different formats and technologies to combine data … [Read more…]

Primed-AP (Analytic Process)
What is the Primed-AP Methodology? CDO Advisors has launched Primed Analytics Process Homepage to publish content related to our newly published Analytic Process. The Primed-AP © process was created based on years of experience working with business users to implement predictive analytics. Existing methodologies focus on the data science tasks but do not include the required tasks […]
Marketing Customer Information File Overview
Marketing Customer Information File (MCIF) Many financial organizations already have a custom customer view called a marketing customer information file. Other industries have these as well, called by different name such as master patient index in the healthcare space. These files are created through existing software or internal jobs to merge data from various sources […]
Speaking at the Global Predictive Analytics Conference
Implementing Predictive Analytics into Operational Workflows I will be presenting on April 3rd 2018 in Santa Clara, CA at the Global Predictive Analytics Conference. My session focuses on how to build predictive analytics and integrate the model into your business. I will examine two use cases: Customer Churn and Cross Selling and demonstrate the process […]