Data Science and Beyond

DECEMBER 7, 2015

Merriam-Webster defines an insight as an understanding of the true nature of something. Many companies seem to define an insight as any piece of data or information, which I would call a pseudo-insight. This post surveys some examples of pseudo-insights, and discusses how these can be built upon to provide real insights. Exhibit A: WordPress stats This website is hosted on wordpress.com.

Data Processing 52

Data Processing IT 52

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. This blog post is an hommage to not only the film, but also to the critically important role into which data quality is cast within all of your enterprise information initiatives, including business intelligence, master data management, and data gover

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

The Unofficial Google Data Science Blog

DECEMBER 4, 2015

by AARON BECKER In a previous post, we described how data scientists at Google used Sawzall to perform powerful, scalable analysis. However, over the last three years we’ve eliminated almost all our Sawzall code, and now the niche that Sawzall occupied in our software ecosystem is mostly filled by Go. In this post, we’ll describe Sawzall’s role in Google’s analysis ecosystem, explain some of the problems we encountered as Sawzall use increased which motivated our migration, and detail the techni

Statistics 54

Statistics Interactive Software Modeling 54

In(tegrate) the Clouds

DECEMBER 28, 2015

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. His predictions are as follows: Data Eats the World and Integration Strategies Will Drive Digital Transformation.

Data Lake 45

Data Lake IoT Digital Transformation Strategy 45

Advertisement

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

TIBCO

DECEMBER 9, 2015

Until recently, data analytics and data visualization tools have commonly been used by cities and government agencies to address societal challenges such as congestion, crime, and municipal services. But increasingly, government officials are applying these tools to help fight poverty and other forms of social inequality. For instance, at the 14 th Convening of the Project on Municipal Innovation–Advisory Group, which recently took place at the Harvard Kennedy School in Cambridge, MA, one of

Visualization 40

Visualization Big Data Data Analytics Analytics 40

Nutanix

DECEMBER 15, 2015

Phillip Beal recently sat down with us to discuss IFC’s transition from on-premises IT to a managed service from Nutanix partner, Advantage Technology Solutions.

Technology 20

Technology Management IT 20

Nutanix

DECEMBER 15, 2015

There’s no question that enterprise application usability has for the most part been left behind.

IT 20

IT Enterprise 20

Nutanix

DECEMBER 15, 2015

There’s no question that enterprise application usability has for the most part been left behind.

IT 20

IT Enterprise 20

Nutanix

DECEMBER 9, 2015

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Nutanix

DECEMBER 9, 2015

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

Advertisement

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven