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Data Management
Jim Harris 0
How do you measure the value of data governance?

Data governance plays an integral role in many enterprise information initiatives, such as data quality, master data management and analytics. It requires coordinating a complex combination of factors, including executive sponsorship, funding, decision rights, arbitration of conflicting priorities, policy definition, policy implementation, data stewardship and change management. With so much overhead involved in

Advanced Analytics
Rick Wicklin 0
Loess regression in SAS/IML

A previous post discusses how the loess regression algorithm is implemented in SAS. The LOESS procedure in SAS/STAT software provides the data analyst with options to control the loess algorithm and fit nonparametric smoothing curves through points in a scatter plot. Although PROC LOESS satisfies 99.99% of SAS users who

Customer Intelligence
Ariadna Solis 0
Por qué son importantes las experiencias en tiempo real en el mundo digital

Cuando Social Media comenzaba a ganar popularidad entre las personas y las marcas, comenzaron a surgir creencias acerca de la disminución de interacciones “reales” o “cara a cara”, puesto que se desarrollaron a la par, soluciones que permitían realizar casi todo desde dispositivos conectados a internet: desde actividades cotidianas, hasta

Analytics
Carl Farrell 0
Always Open

Open. The very word evokes a sense of happiness and possibility. When you’re hungry at an odd hour and everything around you seems to be closed, that lone neon sign glowing in a restaurant window is a most welcome relief. When a shop or service you’ve longed for finally builds

Data Management
Joyce Norris-Montanari 0
What's the difference between data governance and data management? (Part 2)

In Part 1 of this series, we defined data governance as a framework – something an organization can implement in small pieces. Data management encompasses the disciplines included in the data governance framework. They include the following: Data quality and data profiling. Metadata (business, technical and operational). Data security. Data movement within the enterprise.

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