Tag Archives: Myths and Realities of Successful Analytics

The importance of processes and incentives according to “I Love Lucy”

For analytics to work, you must change the process and align incentives

In the final installment of SAS’ Laura Squier’s “Myths and Realities of Successful Analytics” series, she illustrates the importance of changing processes and aligning incentives through a familiar “I Love Lucy” scene.

Also tagged |

What counts as an analytics win?

the_key_lrg

Measurement can mean the difference between an analytic win or loss. SAS’ Laura Squier explains why in this post, part of the “Myths and Realities of Successful Analytics” series.

Also tagged |

10 questions to ask before building an analytical model

Describe, predict and prescribe

“When building an analytic model, it’s easy to get caught up in the grandeur of what you might achieve. But enthusiasm won’t replace a rock-solid foundation,” says SAS’ Laura Squier in this post of the the “Myths and Realities of Successful Analytics” series. She gives some advice on how to get started.

Also tagged |

Tips for solving a new analytical problem

Speed to decision making

SAS’ Laura Squier illustrates the importance of phrasing your problem and how it can impact the success of an anayltics project in this installment of the “Myths and Realities of Successful Analytics” series.

Tagged

8 professionals you need to build your analytics dream team (cont.)

Laura Squier, Sales Engineering Manager, SAS

In this post in the “Myths and Realities of Successful Analytics” series, SAS’ Laura Squier names the the last four of eight professionals in her analytic dream team–and explains why they’re crucial to the success of any analytic project.

Also tagged |

8 professionals you need to build your analytics dream team

Getting the right data to measure human capital

In this installment of the “Myths and Realities of Successful Analytics” series, SAS’ Laura Squier names the eight professionals in her analytic dream team–and explains why they’re crucial to the success of any analytic project.

Also tagged |

It takes more than a few data scientists to make analytics successful

Laura Squier, Sales Engineering Manager, SAS

In SAS’ Laura Squier’s “Myths and Realities of Successful Analytics” series, she busts the myths surrounding data scientists and explains how businesses can build successful analytics solutions.

Tagged